| Title |
Internet-Based Approaches to Building Stakeholder Networks for Conservation and Natural Resource Management
|
|---|---|
| Published in |
Environmental Management, October 2015
|
| DOI | 10.1007/s00267-015-0624-8 |
| Pubmed ID | |
| Authors |
B. J. Kreakie, K. C. Hychka, J. A. Belaire, E. Minor, H. A. Walker |
| Abstract |
Social network analysis (SNA) is based on a conceptual network representation of social interactions and is an invaluable tool for conservation professionals to increase collaboration, improve information flow, and increase efficiency. We present two approaches to constructing internet-based social networks, and use an existing traditional (survey-based) case study to illustrate in a familiar context the deviations in methods and results. Internet-based approaches to SNA offer a means to overcome institutional hurdles to conducting survey-based SNA, provide unique insight into an institution's web presences, allow for easy snowballing (iterative process that incorporates new nodes in the network), and afford monitoring of social networks through time. The internet-based approaches differ in link definition: hyperlink is based on links on a website that redirect to a different website and relatedness links are based on a Google's "relatedness" operator that identifies pages "similar" to a URL. All networks were initiated with the same start nodes [members of a conservation alliance for the Calumet region around Chicago (n = 130)], but the resulting networks vary drastically from one another. Interpretation of the resulting networks is highly contingent upon how the links were defined. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 2% |
| Unknown | 60 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 23% |
| Student > Ph. D. Student | 12 | 20% |
| Researcher | 9 | 15% |
| Other | 6 | 10% |
| Student > Doctoral Student | 4 | 7% |
| Other | 6 | 10% |
| Unknown | 10 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 16 | 26% |
| Environmental Science | 14 | 23% |
| Agricultural and Biological Sciences | 7 | 11% |
| Engineering | 3 | 5% |
| Psychology | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 13 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 January 2016.
All research outputs
#16,046,765
of 25,373,627 outputs
Outputs from Environmental Management
#1,406
of 1,914 outputs
Outputs of similar age
#157,477
of 295,218 outputs
Outputs of similar age from Environmental Management
#7
of 12 outputs
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