Developing networks for community change
Exploring the Utility of Network Analysis
Bibliographic Data
| ID | 6182032 |
|---|---|
| Authors | Peter J Robertson (0000-0002-2152-4618), Lavonna B Lewis, David C Sloane, Lark Galloway-Gilliam, Jonathan Nomachi |
| Year | 2012 |
| Volume | 43 |
| Issue | 2 |
| Pages | 187-208 |
| Publication date | 2012-05-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Community Development (JOURNAL) |
| Journal identifiers | ISSN: 1557-5330 • E-ISSN: 1944-7485 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/15575330.2011.583395 |
| OpenAlex | W2072753914 |
| Language | EN |
| Citations received | 3 |
| References cited | 54 |
This article demonstrates how network analysis can be used to develop a better understanding of a community-based network and steps that might be taken to facilitate network development. The focal network in this study was organized by a local non-profit organization as part of their effort to effect community-level change. The activities of this network were guided by three steering committees, 23 members of which provided data regarding numerous aspects of their relationships with a set of 39 organizations. We first provide descriptive information regarding patterns of relationships among network participants at both the committee and whole-network level. We then summarize results of hierarchical linear modeling and analysis of variance analyses that clarify how data generated through network analysis can be incorporated into these traditional analytic procedures to yield additional insights regarding network properties. The article concludes with a discussion of the implications of these findings for the continued development of this community-based network, as well as implications for others interested in using network analysis to facilitate change in their own communities
Community network · Data science · Knowledge management · Network analysis · Organizational network analysis · Social network analysis · World Wide Web · Community Health and Development · Computer Science · Public Policy and Administration Research · Social Capital and Networks
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| Citations per year | 0.27 |
|---|---|
| Citation span | 2015 - 2020 (6) |
| Highly cited | No |