To connect or not to connect? Examining the evolutionary dynamics of shared membership in network domains

EasyChair Preprint 1179

Abstract

Using an insular view of networks, studies have overlooked the broader network domain, defined as collections of networks sharing an environmental niche in a single geographic and problem-area (Nowell, Hano, & Yang, 2018). Moreover network evolution studies have not yet addressed the tensions between a network’s formation impetus and its internal capacity (Bryson, Crosby, & Stone, 2015).

In this study, shared membership is considered an important mechanism establishing ties between networks in their network domain. Traditional board interlocks studies view these connections as valuable and strategic (Zona et al., 2016), while resource dependency suggests that sharing members creates scarcity in human capital assets (Pfeffer & Salancik, 1978). Further, collaborative engagement theories suggest that the more embeddedness, the better (Agranoff & McGuire, 2001; Nowell & Foster-Fishman, 2011). This research seeks to clarify these tensions by examining: 1) What effects do shared membership have on a network’s evolution? and 2) What effects do internal capacity have on a network’s evolution?

This study utilizes a bipartite longitudinal network data set that includes 74 networks with a 97+% population response rate. The two-mode dataset includes more than 2600 individuals’ connections to networks in their network domain. Hypothesis testing regarding the effects of network domain dynamics and network capacity is accomplished using a Stochastic Actor-Oriented Model (SAOM). Results address dynamics of shared membership, suggesting that network domain density may negatively affect survival, yet centrality of a single network in the domain supports survival. Findings also indicate that capacities like the presence of a convening organization, funding, and paid staff have unique dynamics when the network domain effects are included.

Keyphrases: Network Domain, network evolution, networks

@booklet{EasyChair:1179,
  author    = {Kate Albrecht},
  title     = {To connect or not to connect? Examining the evolutionary dynamics of shared membership in network domains},
  howpublished = {EasyChair Preprint 1179},
  year      = {EasyChair, 2019}}