Using Social Network Analysis to Enhance Nonprofit Organizational Research Capacity: A Case Study

As donor agencies become more specific in funding requirements, research that can demonstrate the collaborative efforts of a nonprofit agency with its organizational neighbors and how those efforts pay off in terms of capacity and provision of services is highly useful. Recognizing these benefits, a local funding agency in Virginia commissioned a study to look at the ways in which social network analysis (SNA) can enhance the data resources available to nonprofits for funding and grant requests. In this article, we present a case study of a network of 52 nonprofit organizations to illustrate the viability of SNA in terms of funding and research needs specific to nonprofit organizations. We discuss the outcomes of the case study in terms of how the visual and metric outputs of SNA can be used by nonprofits to enhance the accomplishment of their organizational missions and strengthen their grant requests.     

Diffusion in small worlds with homophily and social reinforcement: A theoretical model

We introduce homophily in a percolation model of word-of-mouth diffusion in social networks by reorganizing the nodes according to similarity in preferences for adoption of an innovation. Such preferences are described by a “minimum utility requirement” for an agent to adopt. We show that homophily removes the non-linear relation between preferences and diffusion in the standard percolation model with a high diffusion regime (“hit”) and a low diffusion regime (“flop”). Instead, in a model with perfect homophily, the final diffusion scales linearly with individual preferences: all agents who are willing to adopt, do adopt the innovation. We also investigate the combined effect of homophily and social reinforcement in diffusion. Results indicate that social reinforcement renders clustered networks more efficient in terms of diffusion size for network with strong homophily, while the opposite is true for networks without homophily. The simple structure of our model allows to disentangle the effect of social influence, homophily and the network structure on diffusion. However, the controllability of the theoretical structure comes at the expenses of the realism of the model. For this, we discuss possible extensions and empirical applications.     

Diffusion of innovations through social networks: Determinants and implications

Social scientists have long been interested in the diffusion of innovations—the process by which new ideas, behavior, and practices spread between persons, organizations, and even countries. While innovations can enter a community through various channels, ongoing spread of innovations through a community occurs through the medium of social networks—collections of interpersonal or digital relationships connecting actors to each other. Social networks are important for diffusion because relationships foster communication, trust, and flow of information. Diffusion outcomes are also shaped by the structural properties of social networks such as density, centrality, and strength of ties, as well as properties of the innovation and the actors involved in the process. The purpose of the article is twofold: (1) to take stock of the field and review ongoing debates on the role of social networks in the diffusion of innovations and (2) to summarize the sociological implications of the diffusion of innovations through social networks.     

Social networks among lower income Korean elderly immigrants in the U.S.

This study examines the composition and cultural context of the social networks of a sample of primarily lower-income Korean elderly immigrants and the resources and supports available through those network ties. In-depth, in-person interviews were used to investigate categories of network ties and the nature of network exchanges. Non-kin and organizational contacts were primary sources of emotional and instrumental support among this sample, with the norms and institutions of elder care in the U.S. shaping expectations regarding sources of support.     

Analysing social networks for social work practice: A case study of the Facebook fan page of an online youth outreach project

This study adopted social network analysis (SNA) to interpret a Facebook fan page used by a youth outreach project in Hong Kong. The study aimed to: i) explore what types of open data can be captured from social media, ii) explore in what ways SNA metrics can be used to generate meaningful indicators that help track relationship changes, and iii) examine to what extent SNA findings agree with social workers' perceptions. These results preliminarily suggest the feasibility and validity of SNA in social work practice research. This study adds to the emerging knowledge base of how practitioners and researchers might use SNA to assess social networks, supplement need assessments, track service users' behavioural changes, and evaluate services.     

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.     

Investing in people: The role of social networks in the diffusion of a large-scale fraud

This paper draws from social network analysis and diffusion theory to study the case of a mortgage fraud that spread undetected for five years in British Columbia, Canada. The fraud is studied from the point of view of 559 victims who unknowingly invested in the Ponzi scheme which defrauded 2285 investors for a total of $ 240 million dollars. Results show diffusion played a role in the success of the Eron fraud even though the fraud ended before it reached the final stages of a classic diffusion process. A closer look at the social structure of the Eron network revealed the elements that made the fraud successful: (1) change agents, particularly Eron principals and Eron employees invested their personal time and effort recruiting investors; (2) independent brokers actively spread the fraud to their clients; and (3) opinion leaders, investors themselves, unknowingly spread the fraud through their social networks by recruiting their friends and family to invest in Eron.     

Latino Faces,Corporate Ties: Latino Advocacy Organizations and Their Board Membership

Although they have increased exponentially since the 1960s, social scientists know little about ethnic advocacy organizations. These nonprofits are important bridges between underresourced communities and mainstream funding organizations and their directors are established ethnic leaders. Sociologists study interlocking directorates—or shared board membership—to understand how organizations fit together within broader social networks. Network concepts, particularly the theory of institutional isomorphism, suggest that organizations are likely to be similar to the extent they are connected and operate within a common organizational field. We apply this logic to Latino advocacy organizations to examine the underlying source of cohesion across this ethnic field. We ask whether the organizations are tied by interlocking directorates of ethnic elites who sit on their boards of directors or if board members' common affiliation with other elite institutions creates the structural conditions that facilitate potential ideological or behavioral similarity. A social network analysis of five prominent Latino advocacy organizations reveals support for both hypotheses: Latino board members are both embedded in ethnic‐based networks and entrenched within elite organizational webs. This suggests that ethnic elites who sit on the boards of Latino advocacy organizations are also corporate elites, selected for the social capital they bring to these nonprofits.     

Effective targeted and community HIV/STD prevention programs

Community interventions and interventions targeting specific groups at risk of STDs/HIV have demonstrated significant impacts on sexual behavior, particularly condom use and safer sex. The scientific evidence suggests the factors that make these interventions particularly effective include the establishment of community, including business and CBO partnerships; maintainance of the intervention post-research funding; and buy-in by the community or target group. The modification of risky normative beliefs through the use of opinion leaders and role models, and through intervention delivery by peer educators, is an important facet of such interventions. Interventions delivered by health professionals, absent a community base, appear to be unsuccessful. Where cultures or subcultures are targeted, the close involvement of such groups in the design and delivery of messages is critical to their success. Diffusion of interventions through existing social networks further extends the intervention into the community and acts to reinforce and maintain changes in peer norms toward safer sexual behavior. The available data confirm that community or medical infrastructure-based interventions are effective in changing sexual behavior and can reach a wider range of the population than face-to-face programs if they incorporate peer educators as role models in modifying norms, and if diffusion of the intervention is integral to the design.     

Some insights related to social network analysis data collection challenges – a research note

This research note discusses opportunities and challenges of using online survey engines for social network analysis (SNA) data collection and assessing sample size and representativeness. The discussion is based on a case study of SNA data collection for a pilot research on health-relevant policy networks in Canada. Our approach demonstrates how to use generic online survey tools in long-term snowball sampling campaigns and how to compute population size estimates through capture–mark–recapture formulas, thus solving a significant methodological challenge of collecting snowball data for unbounded networks.     

Notes on authors

Social network analysis (SNA), a method which can be used to explore networks in various contexts, has received increasing attention. Drawing on the development of European smoke-free policy, this paper explores how a mixed-method approach to SNA can be utilised to investigate a complex policy network. Textual data from public documents, consultation submissions and websites were extracted, converted and analysed using plagiarism detection software and quantitative network analysis and qualitative data from public documents and 35 interviews were thematically analysed. While the quantitative analysis enabled understanding of the network’s structure and components, the qualitative analysis provided in-depth information about specific actors’ positions, relationships and interactions. The paper establishes that SNA is suited to empirically testing and analysing networks in EU policy-making. It contributes to methodological debates about the antagonism between qualitative and quantitative approaches and demonstrates that qualitative and quantitative network analysis can offer a powerful tool for policy analysis.     

Social network thresholds in the diffusion of innovations

Threshold models have been postulated as one explanation for the success or failure of collective action and the diffusion of innovations. The present paper creates a social network threshold model of the diffusion of innovations based on the Ryan and Gross (1943) adopter categories: (1) early adopters; (2) early majority; (3) late majority; (4) laggards. This new model uses social networks as a basis for adopter categorization, instead of solely relying on the system-level analysis used previously. The present paper argues that these four adopter categories can be created either with respect to the entire social system, or with respect to an individual's personal network. This dual typology is used to analyze three diffusion datasets to show how external influence and opinion leadership channel the diffusion of innovations. Network thresholds can be used (1) to vary the definition of behavioral contagion, (2) to predict the pattern of diffusion of innovations, and (3) to identify opinion leaders and followers in order to understand the two-step flow hypothesis better.     

Translocality,Network Structure,and Music Worlds: Underground Metal in the United Kingdom

Translocal music worlds are often defined as networks of local music worlds. However, their networked character and more especially their network structure is generally assumed rather than concretely mapped and explored. Formal social network analysis (SNA) is beginning to attract interest in music sociology but it has not previously been used to explore a translocal music world. In this paper, drawing upon a survey of the participation of 474 enthusiasts in 148 live music events, spread across 6 localities, we use SNA to explore a significant “slice” of the network structure of the U.K.'s translocal underground heavy metal world. Translocality is generated in a number of ways, we suggest, but one way, the way we focus upon, involves audiences traveling between localities to attend gigs and festivals. Our analysis of this network uncovers a core‐periphery structure which, we further find, maps onto locality. Not all live events enjoy equal standing in our music world and some localities are better placed to capture more prestigious events, encouraging inward travel. The identification of such structures, and the inequality they point to, is, we believe, one of several benefits of using SNA to analyze translocal music worlds.     

The Efficacy of Computer Mediated Communication Technologies to Augment and Support Effective Online Helping Profession Education

With the increased adoption of online education, it has become vital for helping profession educators to consider the use of online education. It is also vital for them to consider technologies that can support effective online education for the profession. This study considers the use of both synchronous and asynchronous technologies in helping profession courses. Results of the causal comparative design suggested that online students who used a combination of technologies had statistically significantly higher levels of social presence than the students who used only asynchronous technologies. No difference in cognitive presence, teacher presence, and perceived learning was found between the two groups.     

Analysis of social innovation on social networking services

ABSTRACT

Social network services are allowing more social connectivity and making possible sharing information and knowledge of a different nature. This article analyses if social workers related to active social policies from Malaga province (Spain) are using social network services to share information and knowledge and if there is a mirror between online and offline relationships. Since it is an experimental model, through virtual ethnography and through social network analysis methodology, we observed the presence, connectivity and analysed the structure of relationships that keep 235 professionals from 52 organizations in Facebook®. Moreover, the model uses the statistical technique of modularity for detecting online communities, which are compared with distribution of professionals in their organizations. Results show how social network services applied to social intervention are massively and frequently used by professionals. On the other hand, the detected communities reflect existence of analogy between online and offline relationships. The online structure shows a high degree of cohesion and how certain professionals have higher capacity of influence and diffusion depending on position in the online structure. It argues about the opportunity to incorporate social network services towards social intervention as a manner of social innovation to improve cooperation and diffusion of information and knowledge.     

Social capital and nonprofit leaders

The concept of social capital seems to be a very compatible, useful, and important one for nonprofit organizations. Nonprofits must sustain and enhance the original social capital with which they were formed and broaden it into a variety of key areas. Nonprofits and their leaders must foster social capital in order to recruit and develop board members, raise philanthropic support, develop strategic partnerships, engage in advocacy, enhance community relations, and create a shared strategic vision and mission within the organization and its employees. Nonprofit executives have a pivotal role in carrying out these functions, but they do so through relationships and networks with others. These activities are time‐consuming and demanding, and they require planning. This article provides a focused literature analysis on the concept of social capital as it applies to nonprofit management and leadership. The author views the literature with respect to definitions of social capital and the way nonprofits generate and mobilize social capital in order to achieve organizational goals. The author also cites methods for measuring social capital.     

Networking in France. Is there a French School of Social Network Analysis?

Social Network Analysis (SNA) is a sociology based on interaction that visualizes and models relations between actors. Whereas interaction is approached by classical scholars, we had to wait until the 1970s and the birth of computer science to see social networks analysis develop. This article investigates the influence of SNA in France from the 1980s and wonder if there is a French school of SNA? To do so, we first resume social networks history and highlight its contribution to sociology. Second, we analyze the trajectory and profile of five “disciplinary entrepreneurs,” whose role in the field is important as they master three necessary languages for SNA: English, Mathematics and Computer Science. Third, in order to put back those individuals in their social structures, we cross SNA with the different French sociological tradition(s) (according to topics and methods). Last, we wonder if the institutionalization process succeeded in the creation of institutions from which a French SNA would be able to expand?     

Collecting experimental network data from interventions on critical links in workplace networks

This article describes and discusses challenges associated with interventionist network data gathering in organizational settings, with a special focus on dyadic interventions. While pointing out major risks of these approaches, we argue that collecting data in combination with dyadic network alteration methods can enable social network researchers to explore network mechanisms from a new angle and potentially benefit the members of the targeted social networks and the entire collectives, if certain research design and implementation principles are followed. We introduce a facilitated self-disclosure method for strengthening critical dyads in social networks in combination with longitudinal and retrospective network measurement. We assess the participants’ perceptions of the different stages of this process by qualitative interviews. The study illustrates that experimental network data collection includes some extra challenges in addition to the many challenges of observational network data collection but participants also reported practical benefits that would not be gained through observational network surveys alone. The results highlight the importance of early and continuous communication during the data collection process with all research participants, not just the management, and the benefits of sharing more of the preliminary results. The lessons learnt through this study can inform the design of experimental network data collection to prioritize the preferences of the participants and their benefits.     

Positions,Roles, and Dependencies in a Community Interorganization System*

This study focuses on community structure as a network of interorganizational linkages, with an eye toward (1) generating new conceptual schemes to study the community as a social network and (2) developing a methodology to measure new dimensions of community structure. An analysis of structurally equivalent roles is performed in two communities for three organizational resource networks: money, information, and moral support. Global dependencies on resource generator, consumer, and transmitter roles for the money network are analyzed using loglinear models. Local dependencies within the money network are also examined. Finally, the study examines the perceived influence of organizations in community affairs as a function of the organizations' global positions within the community network.