The Uses of Social Network Analysis in Planning: A Review of the Literature

Dempwolf, C. Scott; Lyles, Lindsey Ward

doi:10.1177/0885412211411092

Cited by 107 publications

(79 citation statements)

References 77 publications

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“…Network analysis examines network structures quantitatively to better understand network function (Janssen et al 2006;DeLeon and Varda 2009;Dempwolf and Lyles 2012). Scholars have used network analysis to show that governments with politically similar constituents are more likely to collaborate because political homophily reduces the transaction costs of establishing connections (Gerber et al 2013), and that collaborative planning can build social capital by building new relationships between organizations (Mandarano 2009).…”

Section: Network Structurementioning

confidence: 99%

Turning Contention into Collaboration: Engaging Power, Trust, and Learning in Collaborative Networks

Levesque

Calhoun

Bell

et al. 2016

Society & Natural Resources

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Given the complexity and multiplicity of goals in natural resource governance, it is not surprising that policy debates are often characterized by contention and competition. Yet at times adversaries join together to collaborate to find creative solutions not easily achieved in polarizing forums. We employed qualitative interviews and a quantitative network analysis to investigate a collaborative network that formed to develop a resolution to a challenging natural resource management problem, the conservation of vernal pools. We found that power had become distributed among members, trust had formed across core interests, and social learning had resulted in shared understanding and joint solutions. Furthermore, institutions such as who and when new members joined, norms of inclusion and openness, and the use of small working groups helped create the observed patterns of power, trust, and learning.

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Section: Network Structurementioning

confidence: 99%

Turning Contention into Collaboration: Engaging Power, Trust, and Learning in Collaborative Networks

Levesque

Calhoun

Bell

et al. 2016

Society & Natural Resources

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“…Classic work in developmental psychology and human ecology on the differing scales of a person's environment implies that exploring the spatial scales of personal networks may be important (Bronfenbrenner, 1977). Similarly, many planning problems involve coordination among different levels of analysis (i.e., the local area and the city) (Dempwolf and Lyles, 2011). An implication of this idea is that the spatial scale for various 6 types of relationships may differ.…”

Section: The Built Environment and Personal Social Networkmentioning

confidence: 99%

The built environment, spatial scale, and social networks: Do land uses matter for personal network structure?

Boessen

Hipp²,

Butts

et al. 2017

Environment and Planning B: Urban Analytics and City Science

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In this study, we examine how different features of the built environment -density, diversity of land uses, and design -have consequences for personal networks. We also consider whether different features of the built environment have consequences for the spatial location of persons to whom one is tied by considering their distribution in local area, broader city region, and a more macro spatial scale. We test these ideas with a large sample of the Western United States for three different types of ties. Our findings suggest that the built environment is crucial for personal network structure, both in the number of social ties and where they are located.Keywords: neighborhoods, social networks, spatial effects, built environment, land use 3 Bio Adam Boessen is an Assistant Professor in the department of Criminology and Criminal Justice at the University of Missouri, St. Louis. His primary research interests include neighborhoods and crime, geography and space, and social networks.John R. Hipp is a Professor in the departments of Criminology, Law and Society, and Sociology, at the University of California Irvine. His research interests focus on how neighborhoods change over time, how that change both affects and is affected by neighborhood crime, and the role networks and institutions play in that change. He approaches these questions using quantitative methods as well as social network analysis. He has published substantive

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“…The position of the participant in the network determines his/her favorable or constraining role in the network in terms of the outcomes under consideration. Centrality (based on degree, closeness or betweenness) is the most commonly used index to analyze a participant's influence (Ahmedi, Rrmoku, Sylejmani, & Shabani, 2017;Dempwolf & Lyles, 2012).…”

Section: Introductionmentioning

confidence: 99%

Stakeholder engagement to evaluate tourist development plans with a sustainable approach

González-Urango

García‐Melón

2018

Sustainable Development

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This study provides an evaluation of tourist development plans in the city of Cartagena de Indias (Colombia). Different stakeholders are involved in the search for solutions to this problem. The proposal is based on a model that combines two techniques, namely the analytic network process (ANP) and social network analysis (SNA). SNA is used to assess the relationships among stakeholders by identifying those who are most relevant and ANP is used to aggregate their opinions and evaluate tourist development plans of Cartagena to improve tourist experiences in a participatory way. The results suggest that the combination of SNA and ANP is a novel and suitable tool for strategic planning of a city.

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The Uses of Social Network Analysis in Planning: A Review of the Literature

Cited by 107 publications

References 77 publications

Turning Contention into Collaboration: Engaging Power, Trust, and Learning in Collaborative Networks

Turning Contention into Collaboration: Engaging Power, Trust, and Learning in Collaborative Networks

The built environment, spatial scale, and social networks: Do land uses matter for personal network structure?

Stakeholder engagement to evaluate tourist development plans with a sustainable approach

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