Social Network Approach Research Articles

Nurses' perception on social network of children with chronic illness: qualitative study, Brazil

Abstract Introduction The high prevalence of chronic diseases in childhood is a serious public health problem in Brazil. The family life of children with chronic illness is marked by numerous determinant and conditioning factors, whether they are biological, psychological, cultural and social. Such factors are more relevant in the absence of a social support network for care. Therefore, the greater the support offered by health professionals, the greater the resources available for the family to face vulnerability. Objectives describing primary care nurses' perception of the social network approach for children with chronic diseases. Methods Qualitative research conducted in October 2019 through an interview with ten nurses from family health units in the city of Rio de Janeiro, Brazil. The project was approved by the Ethics and Research Committees of the participating institutions. Thematic content analysis was used. Results For nurses, social network meant support from family members and from secondary and tertiary level services. In their practice, these professionals are often unaware of the health situation of children with chronic diseases, and they perceive lack of articulation in referral those children to other services of the Health Care Network. Conclusions There are gaps between knowledge and practice of these professionals on the social network approach. It is important to highlight frailties in comprehensive care of children with chronic illness and the service counter-referral to the family health unit. It is necessary to carry out training courses for professionals, helping them to belong to the social network of the family of the child with chronic disease. This strategy could implement effective approach of support, surveillance and health promotion of children. Key messages There is a gap in the knowledge of social network approach among primary care nurses. The social network approach of children with chronic diseases favors comprehensive care and implementation of effective strategies focused on supporting, monitoring and promoting child health.

Motivations for PrEP-Related Interpersonal Communication Among Women Who Inject Drugs: A Qualitative Egocentric Network Study.

A qualitative egocentric social network approach was taken to explore motivations for pre-exposure prophylaxis (PrEP)-related communication between women who inject drugs and network members. Eligible participants were HIV-negative, 18 years or older, and participating in a PrEP demonstration project in Philadelphia, PA, USA. The study employed content analysis of in-depth interviews to identify themes related to contextual and relational factors impacting PrEP communication within networks. Participants (n = 20) named on average three network members, resulting in a total of 57 unique relationships. PrEP conversations occurred within 30 of the 57 relationships, and motivations were to benefit others, to benefit themselves, and due to a sense of obligation. Some conversations also occurred when a peer unexpectedly found their pills. Taking a qualitative approach to network analysis provided a nuanced understanding of how interpersonal characteristics motivated PrEP conversations. Network interventions that facilitate information diffusion and social support may increase PrEP uptake and adherence among women who inject drugs.

The Social Embeddedness of MSMEs Goyor Woven Sarong in Sambirembe Village, Kalijambe, Sragen

Goyor woven sarong craft is one of the Micro, Small, and Medium Enterprises (MSMEs) in Wonosari Hamlet, Sambirembe Village, Kalijambe Sub-District, Sragen Regency, Central Java Province, Indonesia. The woven sarong craft is a cultural heritage passed down from generation to generation. The woven sarong craft business has survived even though the industrial-scale businesses have spread widely. In economic practice, economic actions among business actors of the woven sarong craft are based on cultural values. This research aims to analyze (1) the embeddedness of cultural values in economic practices of Goyor woven sarong; (2) the relational embeddedness between middlemen, collectors, and craftswomen; (3) the economic strategy of the Goyor woven sarong business. This research was qualitative research with a case study approach. The research analysis used the concept of economic actors’ embeddedness in the social networks approach by Granovetter. Research data was collected through in-depth interviews and direct observation. Informants were selected using a purposive sampling technique. The result shows that: 1) there is the embeddedness of cultural values on the woven sarong craft business sustainability. Woven sarong craft is a cultural heritage and work ethic has become the main foundation for business sustainability; 2) the relational embeddedness was manifested through mutual trust between the collectors, middlemen, and craftswomen through a sense of “ewuh pekewuh” (feeling bad, embarrassment, feeling uncomfortable), and through mutual need between the collectors, middlemen, and craftswomen; 3) the economic strategy of the Goyor woven sarong business actors follows the flow of community culture.

A social network approach for recommending interoperable Web services

Modern application development leverages the invocation of a large pool of Web services such as Cloud services and APIs. As the number of Web services keeps growing, it becomes difficult for developers to identify services that can collaborate as part of the same composite application, or that can replace each other in failure cases. Gathering and analyzing Web services social interaction such as composition, substitution, and subscription helps building communities of interoperable services (i.e., likely to collaborate with each other and/or to replace each other). This paper proposes a new approach for recommending interoperable services to developers based on the multi-dimensional analysis of their social interaction history. The approach aims to build communities of services with highly dense interaction relationships. Services part of the same community are recommended to developers as potential collaborators or substitutes. The proposed approach identifies first service leaders. Leaders are particular services with a high interaction rate in the network around which communities are built. Remaining services followers join communities based on their previous interaction experiences. Followers leverage the votes of their experienced neighbors to make their final vote. Experiments on pseudo-real data show that leveraging services social interaction outperforms state-of-the-art approaches.

The emergence of social media data and sentiment analysis in election prediction

This work presents and assesses the power of various volumetric, sentiment, and social network approaches to predict crucial decisions from online social media platforms. The views of individuals play a vital role in the discovery of some critical decisions. Social media has become a well-known platform for voicing the feelings of the general population around the globe for almost decades. Sentiment analysis or opinion mining is a method that is used to mine the general population’s views or feelings. In this respect, the forecasting of election results is an application of sentiment analysis aimed at predicting the outcomes of an ongoing election by gauging the mood of the public through social media. This survey paper outlines the evaluation of sentiment analysis techniques and tries to edify the contribution of the researchers to predict election results through social media content. This paper also gives a review of studies that tried to infer the political stance of online users using social media platforms such as Facebook and Twitter. Besides, this paper highlights the research challenges associated with predicting election results and open issues related to sentiment analysis. Further, this paper also suggests some future directions in respective election prediction using social media content.

A Man\u2019s world? Comparing the structural positions of men and women in an organized criminal network

The crime gender gap is the difference between the levels of participation of men and women in crime, with men responsible for more crime than women. Recent evidence suggests that the crime gender gap is closing, both in crime in general and in organized crime. However, organized crime differs from other forms of criminal activity in that it entails an organizational structure of cooperation among offenders. Assessing whether the gender gap in organized crime is narrowing is not only about the overall levels of involvement of women, but about their roles and positions within the organized criminal structure, because the involvement of women does not mean that they are in influential positions, or that they have power or access to resources important for the commission of organized crime. This paper uses a social network approach to systematically compare the structural positions of men and women in an organized criminal network. We use a dataset collected by Canadian Law Enforcement consisting of 1390 individuals known or suspected to be involved in organized crime, 185 of whom are women. Our analysis provides evidence for an ongoing gender gap in organized crime, with women occupying structural positions that are generally associated with a lack of power. Overall, women are less present in the network, tend to collaborate with other women rather than with men, and are more often in the disadvantageous position of being connected by male intermediaries. Implications for theory and law enforcement practice are discussed.

Understanding Allogrooming Through a Dynamic Social Network Approach: An Example in a Group of Dairy Cows.

For gregarious species such as domestic cattle, the social environment is a very important determinant of their welfare and fitness. Understanding the complexity of cows' relationships can assist the development of management practices that are more integrated with the cows' social behavioral processes. The two aims of this study were: (1) to determine the dynamics of affiliative relationships, as indicated by allogrooming, by means of stochastic actor-oriented modeling, in dairy cows during early lactation; (2) to explore the underlying processes and the individual attributes, such as age, social rank and reproductive state, that could shape network pattern changes in grooming contacts between individual. We observed the allogrooming behavior of a dynamic group of 38 dairy cows for 4 h per day for 30 days. Using stochastic actor-oriented models, we modeled the dynamics of weekly contacts and studied how structural processes (e.g., reciprocity, transitivity, or popularity) and individual attributes (i.e., age, social rank, and reproductive state) influence network changes. We found that cows tended to groom individuals that had previously groomed them, implying a possible cooperation. Cows that groomed more actively did not appear to have a preference for specific individuals in the herd, and in return, tended to be groomed by fewer cows over time. Older individuals groomed more cows than younger ones, indicating that allogrooming could be related to seniority. Cows groomed mainly individuals of similar age, suggesting that familiarity and growing up together enhanced social grooming. Over time, cows with higher social rank were groomed by fewer cows and individuals recently reintroduced to the group groomed more herdmates. The study of social network dynamics can be used to better understand the complexity and non-linearity of cow relationships. Our findings, along with further research, can complement and strengthen the design of improved management practices that are more in line with the natural social behavior of cows.

Formidable females redux: male social integration into female networks and the value of dynamic multilayer networks

The development of multilayer network techniques is a boon for researchers who wish to understand how different interaction layers might influence each other, and how these in turn might influence group dynamics. Here, we investigate how integration between male and female grooming and aggression interaction networks influences male power trajectories in vervet monkeys Chlorocebus pygerythrus. Our previous analyses of this phenomenon used a monolayer approach, and our aim here is to extend these analyses using a dynamic multilayer approach. To do so, we constructed a temporal series of male and female interaction layers. We then used a multivariate multilevel autoregression model to compare cross-lagged associations between a male’s centrality in the female grooming layer and changes in male Elo ratings. Our results confirmed our original findings: changes in male centrality within the female grooming network were weakly but positively tied to changes in their Elo ratings. However, the multilayer network approach offered additional insights into this social process, identifying how changes in a male’s centrality cascade through the other network layers. This dynamic view indicates that the changes in Elo ratings are likely to be short-lived, but that male centrality within the female network had a much stronger impact throughout the multilayer network as a whole, especially on reducing intermale aggression (i.e., aggression directed by males toward other males). We suggest that multilayer social network approaches can take advantage of increased amounts of social data that are more commonly collected these days, using a variety of methods. Such data are inherently multilevel and multilayered, and thus offer the ability to quantify more precisely the dynamics of animal social behaviors.

Children's immigrant generational status and delinquency: The mediating effects of friendship networks

A mounting body of empirical studies demonstrates that first-generation immigrant children have a lower level of delinquency and crime but second and third-plus generations report a precipitous increase in these behaviors. Adopting a social network approach, we analyzed the behavioral and structural characteristics of children’s friendship networks across the first, second, and third-plus immigrant generations, and investigated the mediating role of these friendship traits in explaining generational disparity. Our results reveal that children’s friendship networks differ in structural (e.g., popularity) and behavioral features (e.g., network deviance) across immigrant generations. These friendship features, particularly network peer deviance, the percentage of second-generation friends, and children’s popularity mediate the association between immigrant generational status and children’s delinquency. Extending previous research, our study highlights the importance of applying the social network approach to understand delinquency disparity across immigrant generations and suggests that the composition of friendship networks play an important role in immigrant children’s delinquency involvement.

The impact of influential others on student teachers’ dropout intention – a network analytical study

ABSTRACT Recent studies have shown that the number of teachers in Germany is decreasing dramatically. In contrast, the rate of student teachers discontinuing their studies is rather high, and further increases the shortage of teachers. To address this issue, we investigated student teachers’ social support networks by using a social network approach. Guided by the social cognitive career theory, the mediating role of barriers (i.e. perceived disapproval of influential others towards the chosen career path) on the relationship between supports (i.e. social support quality) and students’ dropout intention was analysed. Data were collected from 165 German student teachers at the beginning of their studies and six months later. In summary, this study has identified students’ perception of influential others’ disapproval towards their chosen career path as a boundary condition for the indirect effect of social support on their dropout intention.

Centrality and corporate governance decisions of Korean chaebols: A social network approach

Almeida et al. (2011) show how Korean chaebols are formed using the critical control threshold centrality. In this paper, we take a one step further by exploring how chaebols make corporate governance decisions—going public, staying private, and being divested—after chaebol formation. We introduce the social network theory to operationalize centrality in the context of the organizational structure of a business group: specifically, the degree centrality, the Katz centrality, and the Hub/Authority centrality. We find that firms with high centrality are more likely to go public while firms with low centrality are more likely to stay private or be divested. In addition, firms invested by other group firms tend to stay private and firms without substantial equity stake in other group firms tend to be divested. Firms directly owned by the controlling family are more likely to stay private and less likely to be divested. We calibrate centrality based on the social network theory and explore how Korean chaebol system evolves for survival and prosperity.

Breastfeeding promotion on Twitter: A social network and content analysis approach.

The importance of breastfeeding for maternal and infant health is well‐established, yet complex and intertwined sociocultural barriers contribute to suboptimal breastfeeding rates in most countries. Large‐scale campaigns for evidence dissemination and promotion through targeted interventions on social media may help overcome some of these barriers. To date, most breastfeeding research on social media only focuses on content analysis, and there remains limited knowledge about the social networks of online communities (who interacts with whom), influencers in the breastfeeding space and the diffusion of evidence‐based knowledge. This study, grounded in social network theory, aims to better understand the breastfeeding communication landscape on Twitter including determining the presence of a breastfeeding network, communities and key influencers. Further, we characterize influencer interactions, roles and the content being shared. The study revealed an overall breastfeeding social network of 3,798 unique individuals (users) and 3,972 tweets with commonly used hashtags (e.g., #breastfeeding and #normalizebreastfeeding). Around one third of users (n = 1,324, 34%) exchanged pornographic content (PC) that sexualized breastfeeding. The non‐PC network (n = 2,474 users) formed 144 unique communities, and content flowing within the network was disproportionately influenced by 59 key influencers. However, these influencers had mostly inward‐oriented interaction (% composition, E‐I index: 47% professionals, −0.18; 41% interested citizens, −0.67; 12% companies, −0.18), limiting opportunities for evidence‐based dissemination to the lay public. Although more tweets about peer‐reviewed research findings were sent compared with tweets about nonevidence‐based lay recommendations, our findings suggest that it is the lay public who often communicated findings, which may be overcome through a targeted social network‐based intervention.

On the \u201cmissing link\u201d between formal organization and informal social structure

Over the last 40 years, organizational scholars have repeatedly called for more research to reconcile formalist and social network approaches to the intra-organizational structure. The former has primarily been concerned with the reporting relationship which manifests as the chain of command while research on the informal social structure relegates the reporting relationship to a wide and varied range of instrumental and affective relationships such as advice-seeking, knowledge-sharing, trust, and friendship which span the boundaries that the chain of command defines. In this study, we employ the chain of command distance—the length along the chain of command of a path connecting a pair of organizational actors—as the basis for formulating and testing hypotheses about how the formal organization and the informal social structure influence one another. First, we argue that whereas the formal structure affords only one, often very lengthy, path between any pair of actors, the combination of formal and informal structures results in a greater number of significantly shorter paths between actors. Next, we consider one effect of the formal organization on the informal social structure. In particular, we argue that there is an inverse relationship between the chain of command distance and the likelihood of a social or informal connection forming between a pair of actors. We test our hypotheses with demographic data collected from a public sector provider of health, education, and welfare services in rural Norway.

Untangle the Complex Stakeholder Relationships in Rural Settlement Consolidation in China: A Social Network Approach

Rural settlement consolidation (RSC) has a critical role in facilitating the transformation of human settlement and land use transition in the rural revitalization process. RSC involves a diversity of stakeholder groups with complex and intertwined concerns. It is therefore crucial to identify the key stakeholders and their main concerns to effectively align rural planning and policymaking. However, this line of research remains underdeveloped. This study provides a novel and holistic network perspective for unpacking the complex relationships among different stakeholders. The results indicate: (1) the network of stakeholder concerns is relatively sparse, with 68 concern nodes and 159 concern ties; (2) The village committee, centralized residents, and contractors occupy the core position within the concerns network, while the local government has the majority of strongly connected nodes; (3) The lists of prominent concern nodes and ties are identified by different network indices, including the degree difference, the out-status centrality, closeness centrality, node betweenness centrality, and link betweenness centrality; (4) The main interaction type among stakeholder groups can be classified into five categories: financing, psychological attachment, stakeholder participation, project management, and the improvement in living conditions and infrastructure. This study reveals the relatively weak status of residents, the pivotal role of the village committee, as well as the indispensable part of the contractor and township government, with the aim to provide targeted guidance and decision-making supports for strengthening interactions and cooperation among different stakeholder groups. The findings shed new light on performing the multi-tasks of RSC and facilitating the sustainable management of rural areas.

Exploring the Dynamics of Social Networks in Urban Informal Settlements: the Case of Mathare Valley, Kenya

This paper pilots a different approach to the study of informal settlements, typically conceived as chaotic, disorganised and lacking social cohesion. We provide a different reading of social life in an informal settlement. While its social life may be different from other parts of the urban metropolis, its social relations are not absent. Through the use of network theory, we will demonstrate that social relations in settlements have developed a considerable level of complexity. Using the case study of Mathare Valley, an informal settlement in Nairobi, we explore the dynamics of social networks with the aim of providing a more integrated understanding of life in slums. Based on survey data, focus groups/workshops and interviews, we established that residents depend on a network of strong, highly familial ties. Life is typically defined by neighbourhood bonds and friendship. This structure underpins the development of referral systems to access services and find work. The settlement has a syncretic governance structure made up of governmental and self-styled leaders who act as gatekeepers to varying degrees. We geo-coded data to conduct a more detailed social network analysis, which revealed the positive attributes of networking as opportunities for innovation and forming weaker ties within and beyond the settlement. The negative aspects of strong ties lead to the exclusion of more vulnerable residents. In conclusion, we propose the social networks approach as essential in understanding informal settlements. A holistic understanding of informal settlements will not only overcome narrow conceptions but may also encourage networked thinking for urban planning and design.

Linking Network Characteristics of Online Social Networks to Individual Health: A Systematic Review of Literature

ABSTRACT Social networks have long been viewed as a structural determinant of health. With the proliferation of digital technologies, numerous studies have examined the health implications of online social networks (OSNs). However, the mechanisms through which OSNs may influence individual health are poorly understood. Employing a social network approach, this paper presents a systematic review of the literature examining how network characteristics of OSNs are linked to individuals' health behavior and/or status. Drawing on keyword searches in nine databases, we identified and analyzed 22 relevant articles from 1,705 articles published prior to 2017. The findings show that individual health is associated with a number of network characteristics, including both individual-level attributes (e.g., centrality) and network-level attributes (e.g., density, clustering). All of the included studies (n = 22) have focused on egocentric networks, and nine studies also collected whole network data of online health communities. Based on our review, we highlight three fruitful areas in the application of OSNs in public health: (1) disease and risk detection, (2) disease prevention and intervention, and (3) health behavior change. However, the precise mechanisms and causal pathways through which OSNs affect health remain unclear. More theoretically grounded, longitudinal, and mixed methods research is needed to advance this line of research.

Social network analysis in operations and supply chain management: a review and revised research agenda

PurposeSocial network analysis (SNA) seeks to manage the connections between entities through investigating and understanding behaviours and relationships. This study demonstrates the increasing relevance of social network approaches to solving contemporary and looming operations management (OM) and supply chain management (SCM) problems; including the coordination operations challenges raised by increased connectivity.Design/methodology/approachThe systematic literature review approach adopted here examines 63 papers in OM and SCM published between 2000 and 2019. To-date OM reviews on SNA have focussed on discussing archetypal supply chains, what differentiates this study is the focus on how value was created in other forms of chains and operations.FindingsThis study reveals that current SNA adoption in OM is dominated by a manufacturing style focus on linear, sequential value creation, with a resulting focus only on sequential interdependence. SNA studies on reciprocally co-ordinated value creation (e.g. many service and network operations) are shown to have been neglected and are linked to a new agenda on contemporary management issues.Research limitations/implicationsBeyond encouraging the use of SNA, this study seeks to re-orient SNA approaches towards how contemporary services and networks create value.Originality/valueThrough adopting a unique combination of approaches and frameworks, this study challenges extant work to offer a substantially revised agenda for SNA use in Operations and Supply Chain Management.

Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world.

Social distancing and isolation have been widely introduced to counter the COVID-19 pandemic. Adverse social, psychological and economic consequences of a complete or near-complete lockdown demand the development of more moderate contact-reduction policies. Adopting a social network approach, we evaluate the effectiveness of three distancing strategies designed to keep the curve flat and aid compliance in a post-lockdown world. These are: limiting interaction to a few repeated contacts akin to forming social bubbles; seeking similarity across contacts; and strengthening communities via triadic strategies. We simulate stochastic infection curves incorporating core elements from infection models, ideal-type social network models and statistical relational event models. We demonstrate that a strategic social network-based reduction of contact strongly enhances the effectiveness of social distancing measures while keeping risks lower. We provide scientific evidence for effective social distancing that can be applied in public health messaging and that can mitigate negative consequences of social isolation.

Evaluating the impact of a health hackathon on collaborative team science: a Social Network Analysis (SNA).

The Mount Sinai Health Hackathon is designed to provide a novel forum to foster experiential team science training. Utilizing a Social Network Analysis survey, we studied the impact of the Mount Sinai Health Hackathon on the nature of collaborative relationships of hackathon participants. After the event, the number of links between participants from different disciplines increased and network density overall increased, suggesting a more interconnected network with greater interdisciplinary communication. This social network approach may be a useful addition to the evaluation strategies for team science education initiatives.

Building social capital and learning relationships through knowledge sharing: a social network approach of management students’ cases

PurposeThis study has adopted theoretical frameworks of social capital, social networks and the Community of Practice to study how different types of relationships influence the knowledge sharing relationship. This paper aims to suggest that building social capital, particularly structural capital, is part of expected key in knowledge sharing networks.Design/methodology/approachUsing social capital theory, through social network analysis of 111 management students in the US business school, identified key social capital dimension in knowledge sharing networks. To incorporate the interdependency among examined relationships, network logistic regression with the quadric assignment procedure was used.FindingsThe proposed research model showed that about 98% of the existence of knowledge sharing relationship could be correctly predicted. Among three dimensions of social capital, this study found a superior influence of the structural dimension (i.e. task interdependence) in predicting having a knowledge sharing relationship. The significant effect of trust and friendship network on knowledge sharing was also found. Implications for practice and suggestions for future research were also discussed.Originality/valueExisting literature as to how people learn through knowledge sharing is limited in at least two important ways. First, scholars of knowledge management acknowledge that organizational knowledge originates from dyadic relationships between or among individuals at work. However, prior research has heavily relied on survey responses from one’s perception of knowledge sharing experience, viewing as unidirectional. Second, substantial attention of prior research has been devoted to the factors of individual attributes. Emphasizing individual interactions as the fundamental building blocks of learning, this study focuses more on relational characteristics of knowledge sharing based on social capital theory.