title: Networked Community Change: Understanding Community Systems Change through the Lens of Social Network Analysis.
abstract: Addressing complex problems in communities has become a key area of focus in recent years (Kania & Kramer, 2013, Stanford Social Innovation Review). Building on existing approaches to understanding and addressing problems, such as action research, several new approaches have emerged that shift the way communities solve problems (e.g., Burns, 2007, Systemic Action Research; Foth, 2006, Action Research, 4, 205; Kania & Kramer, 2011, Stanford Social Innovation Review, 1, 36). Seeking to bring clarity to the emerging literature on community change strategies, this article identifies the common features of the most widespread community change strategies and explores the conditions under which such strategies have the potential to be effective. We identify and describe five common features among the approaches to change. Then, using an agent-based model, we simulate network-building behavior among stakeholders participating in community change efforts using these approaches. We find that the emergent stakeholder networks are efficient when the processes are implemented under ideal conditions.
authors.affiliation: Michigan State University, East Lansing, MI, USA.
authors.forename: Jennifer A
authors.initials: JA
authors.lastname: Lawlor
authors.affiliation: Michigan State University, East Lansing, MI, USA.
authors.forename: Zachary P
authors.initials: ZP
authors.lastname: Neal
mesh_terms: D019058:Community Networks; D003198:Computer Simulation; D003299:Cooperative Behavior; D006302:Health Services Research; D006801:Humans; D008962:Models, Theoretical; D011340:Problem Solving; D011639:Public Opinion; D012922:Social Change; D012931:Social Environment; D012944:Social Support
keywords: Agent-based modeling; Community change; Social networks