Internationl Network for Social Network Analysis

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Sunbelt XXX - June 29 to July 04, 2010 - Riva del Garda Fierecongressi
Abstract : The role of homophily in explaining interorganizational collaboration patterns among infectious diseases INGOs.
Interorganizational collaboration networks are complex networks driven by a variety of mechanisms. This research seeks to understand the structure of international nongovernmental organization (INGO) collaboration and to investigate how multiple homophily processes explain networking patterns. As such, this research examines the 2007 infectious disease INGO (N = 94) collaboration network, using exponential random graph modeling. Multiple sources of homophily combined, including status similarity, founding date similarity, similar global north/south location, similar global region, and similar funding relationships, account for the variance in interorganizational collaboration among infectious disease INGOs. The model represents a good explanation for structural parameters such as standard deviation degree distribution, skew degree distribution, and all of the global clustering dimensions. These results suggest that homophily, in combination with four network structures, explain the pattern of interorganizational collaboration among international disease NGOs. Implications for both theory and practice are drawn from these results.
Sunbelt XXXI - February 08 to February 13, 2011 - Trade Winds Beach Resort http://www.tradewindsresort.com/ St. Pete Beach
Abstract : Why do organizations network the way they do? An examination of networking patterns among self-benefitting NGOs
Self-benefitting NGOs primarily exist to serve their own members. Nevertheless, these NGOs still form coalitions and network with one another to gain access to critical resources, shape public opinion, and lobby on behalf of their members. However, the networking patterns among these organizations have not received much attention in the organizational literature. Moreover, while the organizational literature is rich in information about why organizations form ties, it is less rich in information about why they form those ties the way they do. This study seeks to fill those gaps in the literature. It uses a multi-theoretical, multi-level framework and Exponential Random Graph Modeling to examine the endogenous and exogenous influences on the structure of a communication network among 56 self-benefitting NGOs. The results indicate that endogenous mechanisms like centralization and transitivity, and exogenous attributes like subdomain influence, organizational type, media attention, and age influence the probability of communication ties being present. However, the principle of reciprocity did not influence communication ties, suggesting that the inherent self-interested nature of self-benefitting NGOs may impact the logic of their interorganizational networks. Furthermore, media attention was highly correlated with perception of organizational influence. Implications for future research are drawn from the results.