Ethical implications of network data in business and management settings

Reflecting on the compilation and analysis of a range of network datasets drawn from our own work and some prominent examples, we consider the ethical challenges in dealing with network data in business and management settings. We argue that the managerial processes that characterize such settings introduce particular ethical sensitivities in the stages of commissioning and research design, and when collecting, analyzing and reporting network data. These sensitivities arise from the imperatives of business, motivations for commissioning network analyses and the legal authority that managers have over employees. We argue that ethical considerations are much more pervasive in business and management network research than in many other fields.In this contribution, we present a range of ethical challenges in network research in business and management settings that arise at several stages of the research process. For each issue identified, we describe the ethical problem and propose mitigation remedies. From this reflection, we suggest guidelines for other researchers to consider when designing research projects in this application area.     

Re-evaluating standards of human subjects protection for sensitive health data in social media networks

This study addresses ethical questions about conducting health science research using network data from social media platforms. We provide examples of ethically problematic areas related to participant consent, expectation of privacy, and social media networks. Further, to illustrate how researchers can maintain ethical integrity while leveraging social media networks, we describe a study that demonstrates the ability to use social media to identify individuals affected by cancer. We discuss best practices and ethical guidelines for studying social media network data, including data collection, analysis, and reporting.     

How social exclusion distorts social network perceptions

In two studies we investigate whether social exclusion—a well-studied, common and quite painful social experience-influences people's perceptions of novel social networks. In a first study, exclusion experiences led people to report that novel networks were more dense relative to those who had not been excluded. As predicted, this was true only for social networks; exclusion had no impact on perceptions when networks were described as geographical. In a follow-up experiment, participants watched a custom-created video, depicting avatars interacting in social scenes and they were asked to report the ties among the avatars in the video. Exclusion experiences led people to see network ties where none exist (i.e., false positives), though there was no effect for exclusion (versus inclusion) on reports of false negatives. Results indicate that common social experiences systematically shape network perceptions, leading people to seeing novel social networks as more densely connected than they are.     

Innovations in teaching social work research

This article reviews the innovations in teaching research in social work education, including conceptual material and specific examples. There is attention to the ideological differences inherent in research and its instruction, methodology/technology innovations, and integrative and group approaches, among other developments. Examination of three major models of research instruction and their assumptions about the purpose of research in social work is presented. Discussion about ethical codes and curricular guidelines for social work programs in the United States and the United Kingdom provides a framework to understand the importance of teaching and learning research for the social work profession.     

The structure of educational research: The role of multivocality in promoting cohesion in an article interlock network

Researchers interested in the social and intellectual features of scholarly knowledge have emphasized the importance of small-scale, informally organized groups of people interested in the same or closely related research problems. The structure of these social networks, in large part, influences the way which research problems are identified, studied and transformed into policy. Building on popular concerns about the state of the educational research field, this study examines what its structure implies about the field's ability to integrate ideas and practices. Using data about which articles readers access from the online database of the Teachers College Record, one of the field's more popular journals, it is shown that the article interlock network exhibits a structure that fits parameters of both small-world and structurally cohesive models. Furthermore, this study unpacks the network's community structure to show that those articles that serve as the core through which much of the network is connected possess a multivocal identity; an ambiguous identity that appeals to multiple audiences simultaneously. Results are suggestive of mechanisms that could be used to promote greater cohesion across the network's distinct communities.     

Participant engagement in environmentally focused social network research

Environmentally focused social network analysis (Env. SNA) has increasingly benefited from engagement, which refers to the process of incorporating the individuals, organizations, actors, stakeholders or other study participants into the research process. Research about engagement in the wider field of environmental management shows that successful engagement often requires significant planning and exchange among researchers and stakeholders. While there is no one size fits all approach, several important guiding principles have been established. To date, this engagement literature has not focused specifically on SNA, even though several examples of engaged SNA exist in the literature and point to some specific challenges to engagement when working with relational data. Drawing upon data from a survey of researchers who have incorporated engagement into Env. SNA, we focus specifically on the goals, scope, effectiveness, benefits and challenges of doing engaged Env. SNA research. We additionally highlight four case studies and demonstrate that researchers and participants find engagement to be a valuable experience with benefits in the researchers’ understanding of the context and meaning of their findings. Finally, we provide recommendations to scholars looking to embark on engaged Env. SNA research.     

Human research ethics committees and ethical review: The changing research culture for social workers

Social workers have a long-standing concern with developing codes of ethics, which govern and protect those involved in practice and research scenarios. As more social workers engage in research, successfully negotiating the ethical review process becomes imperative. In Australia, the task of ensuring ethical compliance of research protocols resides with human research ethics committees (HREC) mandated under the National Health and Medical Research Council. However, given the scope for discretion exercised by HREC, this process can be intimidating to novice and experienced researchers. The review process needs to be understood in the context of Australian ethics policy, the roles and responsibilities, and cultures of HREC. This paper outlines practical strategies in preparing ethics protocols to increase the likelihood of successful review. To do this, social workers need to recognise the way policy, legal developments and risk management strategies influence the ethical review process.     

The missing link: Social network analysis in migration and transnationalism

The focus on social networks in migration studies marked a significant departure of understanding. Social networks are not only a mechanism through which the migration process is patterned, but they also have broader implications for migrants and non-migrants alike. Despite the fact that the network character of migration processes has long been recognized in migration studies, for a long time, Social Network Analysis has not been applied. Taking this scholarly omission as a starting point, we seek in this special issue to discuss recent research into social networks and migration that use SNA approaches.     

Exploring variation in active network size: Constraints and ego characteristics

Studies of active personal networks have primarily focused on providing reliable estimates of the size of the network. In this study, we examine how compositional properties of the network and ego characteristics are related to variation in network size. There was a negative relationship between mean emotional closeness and network size, for both related and unrelated networks. Further, there was a distinct upper bound on total network size. These results suggest that there are constraints both on the absolute number of individuals that ego can maintain in the network, and also on the emotional intensity of the relationships that ego can maintain with those individuals.     

Estimating network structure via random sampling: Cognitive social structures and the adaptive threshold method

This paper introduces and tests a novel methodology for measuring networks. Rather than collecting data to observe a network or several networks in full, which is typically costly or impossible, we randomly sample a portion of individuals in the network and estimate the network based on the sampled individuals’ perceptions on all possible ties. We find the methodology produces accurate estimates of social structure and network level indices in five different datasets. In order to illustrate the performance of our approach we compare its results with the traditional roster and ego network methods of data collection. Across all five datasets, our methodology outperforms these standard social network data collection methods. We offer ideas on applications of our methodology, and find it especially promising in cross-network settings.     

Network cohesion and social support

This article analyses the effects of personal network cohesion on different types of social support using two dimensions of cohesion: network closure (defined as a tightly knit set of actors around the ego) and cliquishness (defined as the extent to which an actor is connected with a number of cohesive sub-sets of alters). Data were obtained from a personal networks’ survey conducted in Catalonia (Spain), which was completed by 441 adults and gathered information about exchange of social support in networks made of 30 alters. A multilevel analysis disentangles the effects on support of these two structural dimensions at the network-level from compositional effects at the network and tie-level. The results show that network closure does not play a relevant role in support once confounders at the network and tie levels are controlled for. However, cliquishness has a significant association with labor-related support and housing support, net of statistical controls. Implications of these results in network research are discussed.     

Neighborhood conditions and social network turnover among older adults

Increasing research highlights heterogeneity in patterns of social network change, with growing evidence that these patterns are shaped in part by social structure. The role of social and structural neighborhood conditions in the addition and loss of kin and non-kin network members, however, has not been fully considered. In this paper, we argue that the residential neighborhood context can either facilitate or prevent the turnover of core network relationships in later life – a period of the life course characterized by heightened reliance on network ties and vulnerability to neighborhood conditions. Using longitudinal data from the National Social Life, Health, and Aging Project linked with data from the American Community Survey, we find that higher levels of neighborhood concentrated disadvantage are associated with the loss of older adults’ kin and non-kin network members over time. Higher levels of perceived neighborhood social interaction, however, are associated with higher rates of adding non-kin network members and lower rates of adding kin network members over time. We suggest that neighborhood conditions, including older adults’ perceptions of neighborhood social life, represent an underexplored influence on kin and non-kin social network dynamics, which could have implications for access to social resources later in the life course.     

Changes in core network size in Japan: Comparisons between the 1990s and 2010s

Few studies have examined changes in network size during the past 20 years in Japan despite changes in many other aspects of Japanese society that could affect Japanese social relationships. I conducted a time-series cross-sectional survey to investigate changes in network size for married Japanese people from 1993 to 2014. Results follow: 1) core network sizes decreased slightly; 2) the number of married males with no core network outside their households increased slightly; 3) kin and neighbour network sizes decreased and friend network size increased among married females; 4) kin network size decreased among married males; and 5) the probability of younger married males having no network friends increased. Overall, changes in network sizes were small, and we cannot conclude that serious social decay occurs among married Japanese people.     

Exploring issues of children as actors in social research

In recent years, there has been an increasing focus among childhood researchers on the concept of children's agency, or children as social actors, within research. The argument for the focus on children as ‘agents’ has commonly critiqued an earlier dominant tradition of research, whereby children had been positioned as passive objects of investigation, with their capacity for social agency largely ignored.This paper provides a theoretical and methodological exploration of the concept of children's agency in the research process. The authors outline conceptual developments that have contributed to the increased focus on children's agency and discuss how this focus has influenced research methods, both in terms of counting children in and researching collaboratively with them. Key elements of a methodological framework for promoting children's agency in collaborative research are outlined and some of the contextual obstacles to the implementation of this framework are discussed, in particular those encountered in attempting to ‘balance power relations’ between adults and children. The facilitation by adults of children themselves as researchers is identified as a possible way forward.The paper concludes with a brief discussion on the extent to which the acknowledgement of children's agency in research may lead to more inclusive policy practices.     

Social network analysis: New ethical approaches through collective reflexivity. Introduction to the special issue of Social Networks

Research in social network analysis (SNA) faces unprecedented ethical challenges today due to both technological developments (‘big’ data) and a growing tendency toward institutionalization of ethics governance. We argue that a suitable response requires a more comprehensive approach to SNA ethics, and we identify two main paths toward this goal. First, we need to recognize the breadth of the subject, no longer limited to anonymity and consent. Second, we need to encourage the active participation and contribution of SNA scholars. We advocate a need for greater reflexivity at both individual and collective levels, whereby researchers can learn from their own and their peers’ experiences, and foster a more ethically ‘virtuous’ approach within the whole SNA community.     

Chronic illness and social network bridging in later life

Chronic disease has profound impacts on the structural features of individuals’ interpersonal connections such as bridging — ties to people who are otherwise poorly connected to each other. Prior research has documented competing arguments regarding the benefits of network bridging, but less is known about how chronic illness influences bridging and its underlying mechanisms. Using data on 1555 older adults from the National Social Life, Health, and Aging Project (NSHAP), I find that older adults diagnosed with chronic illness tend to have lower bridging potential in their networks, particularly between kin and non-kin members. They also report more frequent interactions with close ties but fewer neighbors, friends, and colleagues in their networks, which mediates the association between chronic illness and social network bridging. These findings illuminate both direct and indirect pathways through which chronic illness affects network bridging and highlight the context-specific implications for social networks in later life.     

Why the social sciences won't become high-consensus,rapid-discovery science

A research front of rapid discovery, leaving a trail of cognitive consensus behind it, is characteristic of natural sciences since about the 17th century in Europe. The basis of this high-consensus, rapid-discovery science is not empiricism, since empirical research existed in the natural sciences before the 17th century. The key is appropriation of genealogies of research technologies, which are pragmatically manipulated and modified to produce new phenomena; high consensus results because there is higher social prestige in moving ahead to new research discoveries than by continuing to dispute the interpretation of older discoveries. The social sciences have not acquired this pattern of rapid discovery with high consensus behind the research front. Their fundamental disability is not lack of empirical research, nor failure to adhere to a scientific epistemology, nor the greater ideological controversy that surrounds social topics. What is fundamentally lacking in the social sciences is a genealogy of research technology, whose manipulation reliably produces new phenomena and a rapidly moving research front. Unless the social sciences invent new research hardware, they will likely never acquire much consensus or rapid discovery. Possibilities may exist for such development stemming from research technologies in microsociology and in artificial intelligence.     

Two arguments for 'covert methods' in social research

In some 'covert' participant-observation studies, social researchers defend their omission of informed consent on the basis of a need to protect subjects from apprehension, nervousness, or even criminal prosecution. In other instances, researchers contend that deception is rampant in society, and that their methods are no more immoral than the behaviour that ordinarily prevails. These defenses of covert methods fail to appreciate the range of risks that may be involved, and in the latter case, fail to show that these methods are in fact morally indistinguishable from the 'deception' that people typically engage in. Ultimately, these proposed defenses of covert methods succeed only in arousing greater concern about informed consent in social research, and the researcher's privilege in bypassing it.