Perceptions of Social Network Influence: Key Players’ Insights Into Power, Conflict, and Collaboration at the Bonneville Salt Flats

2022 ◽  
Author(s):  
Michael P. Blacketer ◽  
Matthew T. J. Brownlee ◽  
Brenda B. Bowen
Keyword(s):  
Social Network ◽  
Salt Flats ◽  
Key Players ◽  
Social Network Influence

scholarly journals A comparison of dyadic and social network assessments of peer influence

2021 ◽  
Vol 45 (3) ◽  
pp. 275-288
Author(s):  
Dawn DeLay ◽  
Brett Laursen ◽  
Noona Kiuru ◽  
Adam Rogers ◽  
Thomas Kindermann ◽  
...  
Keyword(s):  
Social Network ◽  
Peer Influence ◽  
Mathematical Reasoning ◽  
Statistical Significance ◽  
Relative Strength ◽  
Third Grade Students ◽  
Social Network Influence ◽  
Influence Parameter ◽  
Math Reasoning ◽  
Peer Nominations

The present study compares two methods for assessing peer influence: the longitudinal actor–partner interdependence model (L-APIM) and the longitudinal social network analysis (L-SNA) Model. The data were drawn from 1,995 (49% girls and 51% boys) third grade students ( M age = 9.68 years). From this sample, L-APIM ( n = 206 indistinguishable dyads and n = 187 distinguishable dyads) and L-SNA ( n = 1,024 total network members) subsamples were created. Students completed peer nominations and objective assessments of mathematical reasoning in the spring of the third and fourth grades. Patterns of statistical significance differed across analyses. Stable distinguishable and indistinguishable L-APIM dyadic analyses identified reciprocated friend influence such that friends with similar levels of mathematical reasoning influenced one another and friends with higher math reasoning influenced friends with lower math reasoning. L-SNA models with an influence parameter (i.e., average reciprocated alter) comparable to that assessed in L-APIM analyses failed to detect influence effects. Influence effects did emerge, however, with the addition of another, different social network influence parameter (i.e., average alter influence effect). The diverging results may be attributed to differences in the sensitivity of the analyses, their ability to account for structural confounds with selection and influence, the samples included in the analyses, and the relative strength of influence in reciprocated best as opposed to other friendships.

scholarly journals An Actor-Based Model of Social Network Influence on Adolescent Body Size, Screen Time, and Playing Sports

PLoS ONE ◽  
2012 ◽  
Vol 7 (6) ◽  
pp. e39795 ◽  
Author(s):  
David A. Shoham ◽  
Liping Tong ◽  
Peter J. Lamberson ◽  
Amy H. Auchincloss ◽  
Jun Zhang ◽  
...  
Keyword(s):  
Social Network ◽  
Body Size ◽  
Screen Time ◽  
Social Network Influence

scholarly journals Social network influence on new drug diffusion: Can the data-driven approach provide practical benefits?

2018 ◽  
Vol 40 (2) ◽  
pp. 227-243 ◽  
Author(s):  
Ágnes Lublóy ◽  
Judit Lilla Keresztúri ◽  
Gábor Benedek
Keyword(s):  
Social Network ◽  
Data Driven ◽  
Drug Diffusion ◽  
New Drug ◽  
Social Network Influence ◽  
Data Driven Approach

scholarly journals Social Net Work Analysis of gifting bear bile in Viet Nam

2021 ◽  
Author(s):  
Ho Ha My ◽  
Elizabeth Davis ◽  
Jenny Anne Glikman
Keyword(s):  
Social Network ◽  
Wildlife Trade ◽  
Viet Nam ◽  
Gift Giving ◽  
Medicinal Products ◽  
Work Analysis ◽  
The Social ◽  
Social Network Influence ◽  
Loss Of Diversity ◽  
Bear Bile

The illegal wildlife trade is the major cause for global loss of diversity. In Southeast Asia regions and particularly in Vietnam, the consumption of wildlife products is mostly driven by the demand for food and traditional medicinal products. However, consumers’ motivations are poorly understood. In this study, we use mixed social science approaches and social network analysis to understand the social network influence on the consumption of bear bile through gift-giving practices in Hanoi and Nghe An. The study also provides a deeper understanding of how bear bile is consumed as gifts and the current information on bear bile usage. We found that 97.5% of all interviewees have given or received bear bile and the most common occasion for gift-giving is during visits between closed social circles of family and friends. Other reasons for giving bear bile include illnesses, gratitude, drinking among males, and ulterior motives.

Estimating demand variability and capacity costs due to social network influence: The hidden cost of connection

2018 ◽  
Vol 197 ◽  
pp. 317-329 ◽  
Author(s):  
Mozart B.C. Menezes ◽  
Giovani J.C. da Silveira ◽  
Renato Guimarães
Keyword(s):  
Social Network ◽  
Social Network Influence ◽  
Hidden Cost ◽  
Demand Variability

Information access and sharing among prosthetics and orthotics faculty in Ghana and the United States

2020 ◽  
pp. 030936462095882
Author(s):  
Cody L McDonald ◽  
Henry Larbi ◽  
Sarah Westcott McCoy ◽  
Deborah Kartin
Keyword(s):  
United States ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Exchange ◽  
Information Access ◽  
The United States ◽  
Exchange Networks ◽  
Key Players ◽  
Internal Connections

Background: Information access is essential for quality healthcare provision and education. Despite technological advances, access to prosthetics and orthotics information in low- and middle-income countries is not ubiquitous. The current state of information access, availability, and exchange among prosthetics and orthotics faculty is unknown. Objectives: Describe information exchange networks and access at two prosthetics and orthotics programs in Ghana and the United States. Study design: Cross-sectional survey, social network analysis. Methods: An online survey of faculty at two prosthetics and orthotics programs using REDCap. The survey included a social network analysis, demographics, and prosthetics and orthotics information resources and frequency of use. Descriptive statistics were calculated. Results: Twenty-one faculty members completed the survey (84% response). Ghanaian faculty were on average younger (median Ghana: 27 years, United States: 43 years), had less teaching experience, and had less education than US faculty. Textbooks were the most commonly used resource at both programs. The Ghanaian network had more internal connections with few outside sources. The US network had fewer internal connections, relied heavily upon four key players, and had numerous outside contacts. Conclusion: Ghana and US faculty have two distinct information exchange networks. These networks identify key players and barriers to dissemination among faculty to promote successful knowledge translation of current scientific literature and technology development. Social network analysis may be a useful method to explore information sharing among prosthetics and orthotics faculty, and identify areas for further study.

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