*Names in bold indicate Presenter
We will present comparative findings from two social service policy networks where multiple stakeholders are involved: (1) mental health policy network and (2) adult basic education policy network. The mental health policy network data with 37 actors and adult basic education policy network data with 41 actors were collected through semi-structured interviewing in 2001 in 2005, respectively. Both network data were collected in the same state (we pseudonymed “Newstatia”) in the U.S. that has more than 10 cities and an approximate population of 7,000,000. To model the network data, we will use an exponential random graph model (ERGM) – a stochastic technique for modeling social network data (Frank & Strauss, 1986; Pattison & Wasserman, 1999; Robins, Pattison, & Wasserman, 1999; Robins, Pattison, Kalish, & Lusher, 2007) – by employing the Simulation Investigation for Empirical Network Analysis (SIENA) module embedded in StOCNet (Snijders, 2002). The paper will review the existing literature on factors explaining network contexts, properties and structures, introduce the data, examine the points of similarity and difference between the two cases, and conclude with a set of propositions for future research drawn from this initial comparative case study.