With the growth of neuroscience research, new neuroscience and society (NeuroX) fields like neuroethics, neurolaw, neuroarchitecture, neuroeconomics, and many more have emerged. In this article we report on lessons learned about mentoring students in the interdisciplinary space of neuroscience and society. We draw on our experiences with the recently launched Dana Foundation Career Network in Neuroscience & Society. This resource supports educators and practitioners mentoring students aiming to apply neuroscience in diverse fields beyond medicine and biomedical science. Through our programming, (...) we identified three key lessons: (1) students are interested in exploring a wide range of neuroscience and society intersections; (2) outreach to underserved institutions generates avenues for students to join NeuroX conversations; and (3) by offering free access to online NeuroX resources and a network of subject-matter experts, the Career Network joins many partners helping to bridge the gap between neuroscience and society. (shrink)

The new business opportunities and prospects emerging in Europe within the Common Market and other Western and European countries also raise important ethical challenges. This work comprises a collection of ethical insights to enhance the conduct of business in an evolving Europe.

The increasing application of network models to interpret biological systems raises a number of important methodological and epistemological questions. What novel insights can network analysis provide in biology? Are network approaches an extension of or in conflict with mechanistic research strategies? When and how can network and mechanistic approaches interact in productive ways? In this paper we address these questions by focusing on how biological networks are represented and analyzed in a diverse class of case studies. Our examples span from (...) the investigation of organizational properties of biological networks using tools from graph theory to the application of dynamical systems theory to understand the behavior of complex biological systems. We show how network approaches support and extend traditional mechanistic strategies but also offer novel strategies for dealing with biological complexity. (shrink)

Background: Social media technology has provided platforms for enhanced human communication and expanded opportunities for self-expression. Despite the numerous gains, this social networking media, come with myriads of limitations; one being the tendency to be abused and/or misused, especially by young people or the young at heart. This study examined how social networking media influence the sexual behaviours of university undergraduates in Nigeria. -/- Materials and Methods: The survey research method was adopted. A sample size of 396 students (...) was determined using the Taro Yamane’s formula. The study was anchored on the Technological Determinism theory. Data were collected through a structured questionnaire with a reliability coefficient of 0.99 through test-retest method. Data collected were analysed using descriptive statistics with the aid of SPSS v25 software. -/- Results: Findings showed, amongst others that, undergraduates in Nigerian universities are largely exposed to a substantial amount of sexual contents on various social media networks; and that this exposure negatively influences their psychology towards sex as manifested in the area of dating before marriage as a result of indulgence in interactive and romantic sites. -/- Conclusion and Recommendations: The study recommends the introduction of social media education in higher institutions to help enlighten students on the responsible use of these technologies to minimize the inherent weaknesses and maximize the intrinsic values of utilising these media platforms. (shrink)

This paper presents a phenomenological analysis of shame in social networks. Initially, I examine Sartre’s (1956) account of the look and shame along with Dolezal’s (2017) reinterpretation. I then explore how shame is negotiated in online interactions arguing that, in social networking systems (SNSs), shame is banned. Since subjects are constantly visible when posting content, they tend to share material that minimizes the risk of shame’s thunderstruck. Yet, this shameless self-presentation raises complex phenomenological intricacies regarding personal identity and self-identification: (...) in SNSs individuals strive for self-completion in posts, attempting to solve their otherwise irresolvable self-individuation process. (shrink)

A scientific community can be modeled as a collection of epistemic agents attempting to answer questions, in part by communicating about their hypotheses and results. We can treat the pathways of scientific communication as a network. When we do, it becomes clear that the interaction between the structure of the network and the nature of the question under investigation affects epistemic desiderata, including accuracy and speed to community consensus. Here we build on previous work, both our own and others’, in (...) order to get a firmer grasp on precisely which features of scientific communities interact with which features of scientific questions in order to influence epistemic outcomes. (shrink)

Focusing on the virtue-ethics tradition, this article analyzes the practice of networking within the business context. First, it distinguishes three types of networking: utilitarian, emotional, and virtuous. Virtuous networking does not exclude utilitarian and emotional networking, but these latter forms should be practiced with reciprocity. It is argued that virtuous networking requires (1) acting with good faith, sharing honest goals, and participating in licit activities; (2) sharing information, knowledge, and resources with reciprocity and even with (...) gratuity; (3) serving with justice in asymmetrical power relationships; and (4) exercising a positive ethical influence within the network. Specific forms of unethical behavior in the practice of networking include (1) bad faith or abuse of trust, (2) opportunism, (3) abuse and misuse of power, (4) network cronyism, (5) networking as disguised bribery, and (6) cooperating in the wrongdoing of other actors of the network. The article concludes with some remarks about the role of ethics in social networks. (shrink)

In this article, network science is discussed from a methodological perspective, and two central theses are defended. The first is that network science exploits the very properties that make a system complex. Rather than using idealization techniques to strip those properties away, as is standard practice in other areas of science, network science brings them to the fore, and uses them to furnish new forms of explanation. The second thesis is that network representations are particularly helpful in explaining the properties (...) of non-decomposable systems. Where part-whole decomposition is not possible, network science provides a much-needed alternative method of compressing information about the behavior of complex systems, and does so without succumbing to problems associated with combinatorial explosion. The article concludes with a comparison between the uses of network representation analyzed in the main discussion, and an entirely distinct use of network representation that has recently been discussed in connection with mechanistic modeling. (shrink)

The article argues that youth’s exposure to thin-idealizing content posted by their adored celebrities on interactive and highly engaging social networking sites poses potential challenges for these young people. Celebrity SNS presence responds to youth’s desire for social connectedness, public approval, and fame, which are highlighted at the time of their identity search and establishment. SNS content likely interacts with teens’ unique developmental characteristics, personal background, and interests to propel processes such as identification and social comparison with famous personae (...) leading to negative body image perceptions. The article suggests that even ostensibly “innocent” SNS content that presents thin-idealizing images and messages about the body may place pressures on youth and encourage a preoocupation with and risky behaviors associated with body image even unintentionally. The article further recognizes that netusers, readers, and social networking sites all share in the responsibility to minimize the risks posed to youth in this context. (shrink)

The combination of decreased genotyping costs and prolific social media use is fueling a personal genetic testing industry in which consumers purchase and interact with genetic risk information online. Consumers and their genetic risk profiles are protected in some respects by the 2008 federal Genetic Information Nondiscrimination Act (GINA), which forbids the discriminatory use of genetic information by employers and health insurers; however, practical and technical limitations undermine its enforceability, given the everyday practices of online social networking and its (...) impact on the workplace. In the Web 2.0 era, employers in most states can legally search about job candidates and employees online, probing social networking sites for personal information that might bear on hiring and employment decisions. We examine GINA's protections for online sharing of genetic information as well as its limitations, and propose policy recommendations to address current gaps that leave employees? genetic information vulnerable in a Web-based world. (shrink)

Semantic Network Analysis in Social Sciences introduces the fundamentals of semantic network analysis and its applications in the social sciences. Readers learn how to easily transform any given text into a visual network of words co-occurring together, a process that allows mapping the main themes appearing in the text and revealing its main narratives and biases. Semantic network analysis is particularly useful today with the increasing volumes of text-based information available. It is one of the developing, cutting-edge methods to organize, (...) identify patterns and structures, and understand the meanings of our information society. The first chapters in this book offer step-by-step guidelines for conducting semantic network analysis, including choosing and preparing the text, selecting desired words, constructing the networks, and interpreting their meanings. Free software tools and code are also presented. The rest of the book displays state-of-the-art studies from around the world that apply this method to explore news, political speeches, social media content, and even to organize interview transcripts and literature reviews. Aimed at scholars with no previous knowledge in the field, this book can be used as a main or a supplementary textbook for general courses on research methods or network analysis courses, as well as a starting point to conduct your own content analysis of large texts. (shrink)

The network approach to psychopathology posits that mental disorders can be conceptualized and studied as causal systems of mutually reinforcing symptoms. This approach, first posited in 2008, has grown substantially over the past decade and is now a full-fledged area of psychiatric research. In this article, we provide an overview and critical analysis of 363 articles produced in the first decade of this research program, with a focus on key theoretical, methodological, and empirical contributions. In addition, we turn our attention (...) to the next decade of the network approach and propose critical avenues for future research in each of these domains. We argue that this program of research will be best served by working toward two overarching aims: (a) the identification of robust empirical phenomena and (b) the development of formal theories that can explain those phenomena. We recommend specific steps forward within this broad framework and argue that these steps are necessary if the network approach is to develop into a progressive program of research capable of producing a cumulative body of knowledge about how specific mental disorders operate as causal systems. (shrink)

Applied Evolutionary Epistemology is a scientific-philosophical theory that defines evolution as the set of phenomena whereby units evolve at levels of ontological hierarchies by mechanisms and processes. This theory also provides a methodology to study evolution, namely, studying evolution involves identifying the units that evolve, the levels at which they evolve, and the mechanisms and processes whereby they evolve. Identifying units and levels of evolution in turn requires the development of ontological hierarchy theories, and examining mechanisms and processes necessitates theorizing (...) about causality. Together, hierarchy and causality theories explain how biorealities form and diversify with time. This paper analyzes how Applied EE redefines both hierarchy and causality theories in the light of the recent explosion of network approaches to causal reasoning associated with studies on reticulate and macroevolution. Causality theories have often been framed from within a rigid, ladder-like hierarchy theory where the rungs of the ladder represent the different levels, and the elements on the rungs represent the evolving units. Causality then is either defined reductionistically as an upward movement along the strands of a singular hierarchy, or holistically as a downward movement along that same hierarchy. Upward causation theories thereby analyze causal processes in time, i.e. over the course of natural history or phylogenetically, as Darwin and the founders of the Modern Synthesis intended. Downward causation theories analyze causal processes in space, ontogenetically or ecologically, as the current eco-evo-devo schools are evidencing. This work demonstrates how macroevolution and reticulate evolution theories add to the complexity by examining reticulate causal processes in space–time, and the interactional hierarchies that such studies bring forth introduce a new form of causation that is here called reticulate causation. Reticulate causation occurs between units and levels belonging to different as well as to the same ontological hierarchies. This article concludes that beyond recognizing the existence of multiple units, levels, and mechanisms or processes of evolution, also the existence of multiple kinds of evolutionary causation as well as the existence of multiple evolutionary hierarchies needs to be acknowledged. This furthermore implies that evolution is a pluralistic process divisible into different kinds. (shrink)

Normal 0 false false false EN-US JA X-NONE Normal 0 false false false EN-US JA X-NONE The following paper takes on a double hypothesis: that the concept of narrative identity, as developed by Ricoeur, is a strong candidate to account for the consequences of the “emplotment ” of our identities on social networking sites; and that social networking sites can be useful to reconsider some of the assumptions at the basis of the Ricoeurian concept of narrative identity. The (...) analysis is developed in three sections: Ricoeur’s “temperate” notion is compared to the “savage” post-modern concept of performative identity; part of the literature about identity on social networking sites is criticized in the light of the Ricoeurian concept; and the paper considers the impact of such a “detour” through social networking sites on Ricoeur’s still monomediatic and monolinear notion. Normal 0 false false false EN-US JA X-NONE. (shrink)

ABSTRACT:Alasdair MacIntyre’sAfter Virtuehas made a significant impact within business ethics. This impact has centered upon applications of the virtues-goods-practices-institutions schema (Moore & Beadle, 2006). In this article, I develop an extension of the practices-institutions schema (Moore, 2017), drawing upon MacIntyre’s later text,Dependent Rational Animals. Two key concepts drawn from this text are “networks of giving and receiving” and “the virtues of acknowledged dependence.” Networks of giving and receiving are non-calculative relationships that enable participants to cope with vulnerability. These relationships are (...) sustained by the virtues of acknowledged dependence, including just generosity,misericordia,and beneficence, virtues that direct participants to treat the needs of others as reasons for action. Drawing upon research in social network theory, I develop an example illustrating the application of these concepts within an organizational and interorganizational context. I then suggest a number of applications and research questions related to this extension of the practices-institutions schema. (shrink)

PurposeThis paper aims to investigate behavioural changes related to self-censorship (SC) in social networking sites (SNSs) as new methods of online surveillance are introduced. In particular, it examines the relationships between SC and four related factors: privacy concerns (PC), privacy awareness (PA), perceived vulnerability (PV) and information management (IM).Design/methodology/approachA national wide survey was conducted in the UK (N= 519). The data were analysed to present both descriptive and inferential statistical findings.FindingsThe level of online SC increases as the level of (...) privacy concern increases. The level of privacy concern increases as the levels of PA and PV increase and the level of effective IM decreases.Originality/valueThis study extends the literature on online SC, showing that PCs increase the level of SC in SNSs. It provides support for three antecedent factors to PC which impact upon levels of SC when communicating in SNSs. (shrink)

This paper examines social network size in contemporary Western society based on the exchange of Christmas cards. Maximum network size averaged 153.5 individuals, with a mean network size of 124.9 for those individuals explicitly contacted; these values are remarkably close to the group size of 150 predicted for humans on the basis of the size of their neocortex. Age, household type, and the relationship to the individual influence network structure, although the proportion of kin remained relatively constant at around 21%. (...) Frequency of contact between network members was primarily determined by two classes of variable: passive factors (distance, work colleague, overseas) and active factors (emotional closeness, genetic relatedness). Controlling for the influence of passive factors on contact rates allowed the hierarchical structure of human social groups to be delimited. These findings suggest that there may be cognitive constraints on network size. (shrink)

What critical characteristics do firms have that determine the scale and scope of corporate social responsibility activities they undertake? This paper examines two disparate predictors of corporate social performance. First, using the lens of the resource-based view, we examine the role of alliance network centrality on corporate social performance. We find that centrality enhances corporate social performance. Second, we investigate how board composition affects corporate social performance. Specifically, drawing on stakeholder theory, we find that the percentage of female directors predicts (...) greater corporate social performance. In addition, we look at the influence of outside directors on this relationship. Our findings show that the presence of more outside directors positively moderates the relationship between female directors and corporate social performance. (shrink)

This paper argues in favor of more widespread and systematic applications of a virtue-based normative framework to questions about the ethical impact of information technologies, and social networking technologies in particular. The first stage of the argument identifies several distinctive features of virtue ethics that make it uniquely suited to the domain of IT ethics, while remaining complementary to other normative approaches. I also note its potential to reconcile a number of significant methodological conflicts and debates in the existing (...) literature, including tensions between phenomenological and constructivist perspectives. Finally, I claim that a virtue-based perspective is needed to correct for a strong utilitarian bias in the research methodologies of existing empirical studies on the social and ethical impact of IT. The second part of the paper offers an abbreviated demonstration of the merits of virtue ethics by showing how it might usefully illuminate the moral dimension of emerging social networking technologies. I focus here on the potential impact of such technologies on three virtues typically honed in communicative practices: patience, honesty and empathy. (shrink)

The bounded confidence model has become a popular tool for studying communities of epistemically interacting agents. The model makes the idealizing assumption that all agents always have access to all other agents’ belief states. We draw on resources from network epistemology to do away with this assumption. In the model to be proposed, we impose an explicit communication network on a community, due to which each agent has access to the beliefs of only a selection of other agents. A much-discussed (...) result from network epistemology shows that densely connected communication networks are not always preferable to sparser networks. The aim of this paper is to investigate whether there are any noteworthy network effects in a version of the bounded confidence model augmented with communication networks, and in particular whether the aforementioned result from network epistemology can be replicated in that version. (shrink)

This chapter introduces empirical network analysis (ENA) as a toolbox to complement other methods in philosophy of science. It aims to provide a hands-on introduction to ENA for philosophers of science and to discuss the usefulness of ENA for addressing questions of interest to philosophy of science. We accompany our account by an in-depth consideration of two examples of ENA to reflect not only on the potentials but also on the challenges of ENA. The chapter concludes by outlining skills required (...) for concrete applications and pointing to several resources that can be consulted to acquire those skills. (shrink)

This paper aims to propose a relational approach to the study of cognition that can offer a perspective on the cognitive behaviours of plants – sessile organisms without a nervous system – when considered in the reciprocal interrogation of philosophy and the cognitive and ecological sciences. When leveraging the inspiring, clarifying, and occasionally heuristic potential of different epistemic tools, plant cognition can be understood as the result of processes constantly shaped by multiple co-constructive relationships between organisms and their ecological niches. (...) Organisms and niches are conceivable as dense multi-functional systems of resources and information interchange. The concepts of network and ramification are fruitful keys to frame forms of dynamic relationships between elements. In their alternatively iconical, metaphorical, and conceptual-modelling potentialities, networks and ramifications have been used to identify different types of relationships and transmitted information. The explanatory and heuristic scope of these two concepts needs to be further investigated when linked to cognitive aspects, especially with regard the concept of ramification. Looking at the plant world, whilst much has been written about networks, relatively little has been said explicitly about ramifications (branching capacity, branching characteristics and habits) and their relationship with aspects related to plant behaviour and cognition. (shrink)

As generative AI becomes more deeply integrated into society, building public trust in this technology has emerged as a key challenge for policymakers. Existing approaches, such as the European Commission’s Trustworthy AI framework, largely seek to tackle this issue by offering comprehensive technical and legal measures for promoting a more trustworthy AI industry. However, this paper argues that such approaches are limited in scope and do not fully account for the social complexity of generative AI. As these technologies can now (...) replicate modes of human communication and contribute to our collective knowledge, they cannot be simply considered products to be regulated. Rather, they exist as active social actors and AI policy should reflect this. To better account for this social role, this paper develops a network approach to trust in AI inspired by philosophy of technology and Actor-Network Theory (ANT). This approach argues that trust emerges, first and foremost, from the material interactions between social actors involved in a vast and precarious network. In the context of generative AI, this material network extends far beyond the AI industry to include those various actors that are not directly involved in AI development but that nonetheless influence public trust. As such, this paper argues that the policy goal of establishing trustworthy AI, and thus promoting public trust in AI, is not solely a matter of promoting a more trustworthy AI industry. Rather, to achieve such a goal, more diverse policy solutions need to be devised on the basis of social interactions as part of a whole-of-society approach. Primarily, this paper highlights that public trust in generative AI is influenced by those actors that play a key role in socio-political discourse such as political figures, media organizations, academic institutions and government bodies, among others. As such, public trust in generative AI is linked to trust in our information environment more broadly. To conclude, the paper argues that policymakers seeking to promote trustworthy AI must first seek to combat the current post-truth political crisis and restore public trust in democratic institutions. (shrink)

The network approach to psychopathology promises (personalized) visualizations of the structure of mental disorders, in turn allowing for prediction of disorder development and identification of intervention targets. In this paper, we argue that these goals are problematized by conceptual incoherence between the approach’s two pillars: the network theory of mental disorders, and the suite of methods known as “network psychometrics.” First, we argue that, if it is to be clinically informative, network psychometrics requires (1) an embedding argument to justify that (...) a causally sufficient set of variables has been modeled, and (2) a concomitant argument supporting the assumption that the human-environment system is near-decomposable. Then, we show that current versions of the network theory of psychopathology raise severe obstacles for such arguments, if not outright blocking them. In turn, the network approach to psychopathology appears to unravel unless changes are made to its pillars. (shrink)

We examine recent work in cognitive neuroscience that investigates brain networks. Brain networks are characterized by the ways in which brain regions are functionally and anatomically connected to one another. Cognitive neuroscientists use various noninvasive techniques (e.g., fMRI) to investigate these networks. They represent them formally as graphs. And they use various graph theoretic techniques to analyze them further. We distinguish between knowledge of the graph theoretic structure of such networks (structural knowledge) and knowledge of what instantiates that structure (nonstructural (...) knowledge). And we argue that this work provides structural knowledge of brain networks. We explore the significance of this conclusion for the scientific realism debate. We argue that our conclusion should not be understood as an instance of a global structural realist claim regarding the structure of the unobservable part of the world, but instead, as a local structural realist attitude towards brain networks in particular. And we argue that various local approaches to the realism debate, i.e., approaches that restrict realist commitments to particular theories and/or entities, are problematic insofar as they don't allow for the possibility of such a local structural realist attitude. (shrink)

Actor‐Network Theory is a research lens that has gained popularity in the nursing and health sciences domains. The perspective allows a researcher to describe the interaction of actors (both human and non‐human) within networked sociomaterial contexts, including complex practice environments where nurses and health technology operate. This study will describe Actor‐Network Theory and provide methodological considerations for researchers who are interested in using this sociotechnical lens within nursing and informatics‐related research. Considerations related to technology conceptualization, levels of analysis, and sampling (...) procedures in Actor‐Network Theory based research are addressed. Finally, implications for future nursing research within complex environments are highlighted. (shrink)

Data on the number of adults that an individual contacts at least once a month in a set of British populations yield estimates of network sizes that correspond closely to those of the typical “sympathy group” size in humans. Men and women do not differ in their total network size, but women have more females and more kin in their networks than men do. Kin account for a significantly higher proportion of network members than would be expected by chance. The (...) number of kin in the network increases in proportion to the size of the family; as a result, people from large families have proportionately fewer non-kin in their networks, suggesting that there is either a time constraint or a cognitive constraint on network size. A small inner clique of the network functions as a support group from whom an individual is particularly likely to seek advice or assistance in time of need. Kin do not account for a significantly higher proportion of the support clique than they do for the wider network of regular social contacts for either men or women, but each sex exhibits a strong preference for members of their own sex. (shrink)

This article explores the norms that govern regular users’ acts of sharing content on social networking sites. Many debates on how to counteract misinformation on Social Networking Sites focus on the epistemic norms of testimony, implicitly assuming that the users’ acts of sharing should fall under the same norms as those for posting original content. I challenge this assumption by proposing a non-epistemic interpretation of (mis) information sharing on social networking sites which I construe as infrastructures for (...) forms of life found online. Misinformation sharing belongs more in the realm of rumour spreading and gossiping rather than in the information-giving language games. However, the norms for sharing cannot be fixed in advance, as these emerge at the interaction between the platforms’ explicit rules, local norms established by user practices, and a meta-norm of sociality. This unpredictability does not leave us with a normative void as an important user responsibility still remains, namely that of making the context of the sharing gesture explicit. If users will clarify how their gestures of sharing are meant to be interpreted by others, they will implicitly assume responsibility for possible misunderstandings based on omissions, and the harms of shared misinformation can be diminished. (shrink)

Social network analysis (SNA) is an increasingly popular approach that provides researchers with highly developed tools to map and analyze complexes of social relations. Although a number of network scholars have explicated the assumptions that underpin SNA, the approach has yet to be discussed in relation to established philosophies of science. This article argues that there is a tension between applied and methods-oriented SNA studies, on the one hand, and those addressing the social-theoretical nature and implications of networks, on the (...) other. The former, in many cases, exhibits positivist tendencies, whereas the latter incorporate a number of assumptions that are directly compatible with core critical realist views on the nature of social reality and knowledge. This article suggests that SNA may be detached from positivist social science and come to constitute a valuable instrument in the critical realist toolbox. (shrink)

Meta-governance is Earth system governance for dealing with the global commons. This article develops a whole network approach to meta-governance to explore the potential for collective action for sustainable development by a loosely coupled network of networks. Networked corporate social responsibility governance has emerged around corporate sustainability and responsibility in the first years of the 21st century. Growing agreements and interactions among CSR initiatives suggest the development, structure, and governance of networked CSR governance as a network that can analytically be (...) viewed as a whole and as a platform for learning about systemic change. Using the evolution of CSR initiatives from about 1990 to 2014, the authors differentiate four developmental stages: independent and fragmented multistakeholder networks as CSR governance, collaborative CSR governance, networked CSR governance, and integrated networked CSR governance. The authors then present a framework to analyze networked CSR governance as a whole network experimenting with meta-governance. (shrink)

Social networking sites have challenged ethical issues about users’ information security and privacy. SNS users are concerned about their privacy and need to control the information they share and its use. This paper examines the security of SNS by taking a look at the influence of users’ perceived control of information over their information-sharing behaviors. Employing an empirical study, this paper demonstrates the importance of perceived control in SNS users’ information-sharing behaviors. Specifically, perceived control has been found to be (...) negatively related to perceived privacy risk and attitude toward information sharing, which in turn has an impact on their information-sharing behaviors. In addition, gender has been shown to be an important factor that moderates the influences of both perceived control and perceived privacy risk on SNS users’ attitudes toward information sharing. Theoretical and practical implications are discussed. (shrink)

People undergo many idiosyncratic experiences throughout their lives that may contribute to individual differences in the size and structure of their knowledge representations. Ultimately, these can have important implications for individuals' cognitive performance. We review evidence that suggests a relationship between individual experiences, the size and structure of semantic representations, as well as individual and age differences in cognitive performance. We conclude that the extent to which experience-dependent changes in semantic representations contribute to individual differences in cognitive aging remains unclear. (...) To help fill this gap, we outline an empirical agenda that utilizes network analysis and involves the concurrent assessment of large-scale semantic networks and cognitive performance in younger and older adults. We present preliminary data to establish the feasibility and limitations of such empirical, network-analytical approaches. (shrink)

I explored the relationship between the “Black Axe” Confraternity and cybercrime, with a particular emphasis on the structural dynamics of the Business Email Compromise (BEC) schemes. I investigated whether a conventional hierarchical system governs the membership and remuneration for BEC roles as perpetrators by interviewing an accused “leader” of the “Black Axe” affiliated cybercriminal incarcerated in a prominent Western nation. I supplemented the analysis of interview data with insights from tapped phone records monitored by a law enforcement entity. I merged (...) Actor-network theory and Social Network theory as analytical frameworks and thematically analyzed data to produce six overarching themes: (1) The fluidity of Structure and Adaptive Roles in BEC, (2) Challenges in Visualizing Criminal Networks, (3) Globalization and Transnational Dimensions, (4) Social and Cultural Influences, (5) Internal Cybersecurity Threats and Money Laundering, and (6) Remuneration and Influences of Cryptocurrency, casting a brighter light on the topic. Unlike traditional organized crime, BEC scammers have adopted a nonhierarchical model that is flexible and fluid. I found no evidence of a rigid hierarchy dictating positions and remuneration for BEC roles. Instead, I observed that cybercriminals involved in BEC activities functioned horizontally, promoting fluidity, maneuverability, collaboration, and specialization across various facets of their illicit pursuits. I also highlighted the cross-border links BEC offenders have with other criminal actors facilitated by Black Axe organizational machinery. My research adds value to the existing body of knowledge, utilizing a unique dataset comprising direct testimonies of a high-profile BEC offender affiliated with the ‘hard–to–access,’ Black Axe gang. (shrink)

Social Networking Sites (SNSs) not only enable users to read or create content about brands, but also to easily pass along this content using information diffusion mechanisms such as retweeting or sharing. While these capabilities can be optimal for viral marketing, little is known, however, about how reading brand messages passed along by SNS contacts influences online brand communication outcomes. Results of a survey with active SNS users indicate that (1) message evaluation, (2) the relationship with the sender, and (...) (3) the receiver’s opinion leadership and opinion-seeking levels influence not only the receiver’s intention to pass along the message further, but also his or her attitude towards the brand. The implications of these findings are discussed, including how these capabilities brought on by SNSs change the brand-consumer relationship online. (shrink)

Network motifs are small patterns of connections, found over‐represented in gene regulatory networks. An example is the negative feedback loop (e.g. factor A represses itself). This opposes its own state so that when ‘on’ it tends towards ‘off’ – and vice versa. Here, we argue that such self‐opposition, if considered dimensionlessly, is analogous to the liar paradox: ‘This statement is false’. When ‘true’ it implies ‘false’ – and vice versa. Such logical constructs have provided philosophical consternation for over 2000 years. (...) Extending the analogy, other network topologies give strikingly varying outputs over different dimensions. For example, the motif ‘A activates B and A. B inhibits A’ can give switches or oscillators with time only, or can lead to Turing‐type patterns with both space and time (spots, stripes or waves). It is argued here that the dimensionless form reduces to a variant of ‘The following statement is true. The preceding statement is false’. Thus, merely having a static topological description of a gene network can lead to a liar paradox. Network diagrams are only snapshots of dynamic biological processes and apparent paradoxes can reveal important biological mechanisms that are far from paradoxical when considered explicitly in time and space. (shrink)

Societal structures and memory organization models share network‐like features, offering insights into how information spreads and shapes collective memories. In this study, we manipulated the structure of lab‐created community networks during a computer‐mediated recall task using the Deese–Roediger–McDermott paradigm to test the spreading activation theory of true and false memory formation. We hypothesized that social network structure, whether clustered or not, would influence memory accuracy. Our results showed that clustered networks reinforced true memories by promoting mnemonic convergence, while non‐clustered networks (...) led to more false memories by increasing widespread cross‐activation. These findings highlight how social network topology impacts memory dynamics and collective knowledge evolution. (shrink)

The convergence of increasingly efficient high throughput sequencing technology and ubiquitous Internet use by the public has fueled the proliferation of companies that provide personal genetic information (PGI) direct-to-consumers. Companies such as 23andme (Mountain View, CA) and Navigenics (Foster City, CA) are emblematic of a growing market for PGI that some argue represents a paradigm shift in how the public values this information and incorporates it into how they behave and plan for their futures. This new class of social (...) class='Hi'>networking business ventures that market the science of the personal genome illustrates the new trend in collaborative science. In addition to fostering a consumer empowerment movement, it promotes the trend of democratizing information—openly sharing of data with all interested parties, not just the biomedical researcher—for the purposes of pooling data (increasing statistical power) and escalating the innovation process. This target article discusses the need for new approaches to studying DTC genomics using social network analysis to identify the impact of obtaining, sharing, and using PGI. As a locus of biosociality, DTC personal genomics forges social relationships based on beliefs of common genetic susceptibility that links risk, disease, and group identity. Ethical issues related to the reframing of DTC personal genomic consumers as advocates and research subjects and the creation of new social formations around health research may be identified through social network analysis. (shrink)

BackgroundSocial networking sites (SNSs) have penetrated all aspects of health care professionals’ (HCPs’) professional and private lives. A new term, e-professionalism, has emerged, which describes the linking of traditional values with this new dynamic online environment for HCPs. The four aims of this study were: (1) to examine their SNS prevalence and usage habits, (2) to examine their perception of e-professionalism, (3) to develop an e-professionalism assessment compatibility index and (4) to investigate their tendencies and differences in values of (...) the e-professionalism assessment compatibility index (ePACI).MethodsA cross-sectional study was conducted among MDs and DMDs in Croatia via email using a questionnaire. The questionnaire was distributed to all MDs and DMDs who were members of their respective chambers. In addition to descriptive statistics, Chi-square or Fisher’s exact test when appropriate, t-test, ANOVA and Mann–Whitney U tests were used to determine differences between groups. A principal component analysis (PCA) with varimax rotation was used to investigate dimensionality. Results of the PCA were compared to the coding based on the Social Media e-Professionalism rubric in order to create the ePACI.ResultsOf the 1013 gathered responses, 753 were from valid SNS users and suitable for further analysis. Facebook (91.6%) and Instagram (63.1%) were the predominant SNSs used. Both groups have a good understanding of e-professionalism. The newly developed ePACI deviates slightly in the “conservative” direction in the cases of both, MDs (t506 = 19.033, p < 0.001) and DMDs (t245 = 12.991, p < 0.001). HCPs who are older (r = 0.308, p < 0.001), who have fewer SNS profiles (rs = −0.142, p < 0.001), and who access their profiles less frequently (r = −0.166, p < 0.001) have statistically significantly more conservative ePACI values.ConclusionsMDs and DMDs in Croatia are frequent SNS users, with Facebook and Instagram being the main SNSs used. Both groups have a good understanding of e-professionalism. The newly developed ePACI deviates slightly towards the conservative side regarding perception of the e-professionalism content for both groups. The development of the ePACI, and its subsequent usage in further research, will have a direct influence in its validation, gathering comparable data, and be able to direct efforts in oversight, regulation and education. (shrink)

Networks and the World Wide Web seem to provide an answer to efficiently creating and disseminating knowledge resources. Knowledge, however, is ambiguous in character, and contains both explicit (information) and tacit dimensions - the latter being difficult to value as well as to transfer. Participant identity, commitment and behaviour within the network also affect the sharing of knowledge. Hence, existing laws and norms (including property rights) which have been established on the basis of discrete transactions and monetary value-oriented exchange may (...) not be adequate to deal with the whole spectrum of knowledge transfer. A model is needed to address transfer across a large heterogeneous network. We introduce the concept of sub-networks where tacit knowledge resides and argue that considering social norms underlying trust and other informal mechanisms provides a more suitable basis for understanding the exchange of tacit knowledge. Norm establishment is complicated by the fact that values differ across cultures; however, the social norms that underpin sub-networks can sustain knowledge transfer within them. The purpose of this conceptual article is to introduce the concept of sub-networks and to identify the sub-network/network relationship as an area in which it is necessary to look beyond property rights and raise the issue of norms. We believe that an analysis of the role of social norms in knowledge sub-networks and their interaction with global networks points to a key element in understanding networks and any emerging theory of network ethics in the twenty-first century. (shrink)

Social media applications such as Twitter, YouTube and Facebook have attained huge popularity, with more than three billion people and organizations predicted to have a social networking account by 2015. Social media offers a rapid avenue of communication with the public and has potential benefits for communicable disease control and surveillance. However, its application in everyday public health practice raises a number of important issues around confidentiality and autonomy. We report here a case from local level health protection where (...) the friend of an individual with meningococcal septicaemia used a social networking site to notify potential contacts. (shrink)

This paper explores the ethics of networking as a means of competition, specifically networking to improve one’s prospects of prevailing in formal competitive processes for jobs or university placements. There are broadly two ways that networking might be used to influence the outcome of some such process: through the “exchange of affect” between networker and selector, and through the demonstration of merit by networker to selector. Both raise ethical problems that have been overlooked but need to be (...) addressed. (shrink)

Social networking sites (SNS) are of increasing importance for adolescents’ social life. As adolescents are prone to display risky health behavior in the offline world, it is likely that they use their online profiles and communications to report on unhealthy behaviors, too. This may in turn enhance the perceived attractiveness of risky behavior within the adolescent cohort. Drawing on the insights of impression management theory, we argue in this article that adolescents use a variety of impression management tactics in (...) their SNS profiles and communications. Following this assumption, our empirical analysis of 5851 Facebook posts (profile texts, comments, photographs, etc.) shows that the users tend to associate risky health behaviors with positive attributes, such as accomplishment or sociability, to present themselves in an attractive way to their online peer audience. We argue that this raises two ethical issues relevant to health promotion: Adolescents’ health may be challenged by interaction on SNS, as their engagement in online impression management blanks out any health problems or critical assessments of risky health behavior. At the same time, the semi-public nature of the communication arena re-enforces the tendency to value unhealthy behavior as more attractive than in offline social interactions. (shrink)