scholarly journals Visual Analysis of Social Network Influence Based on Knowledge Mapping

2019 ◽  
Vol 490 ◽  
pp. 042039 ◽  
Author(s):  
Xueying Sun ◽  
Fu Xie
Keyword(s):  
Social Network ◽  
Visual Analysis ◽  
Knowledge Mapping ◽  
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 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.

scholarly journals Combining Stakeholder- and Social Network- Analysis to Improve Regional Nature Conservation: A Case Study from Osnabrück, Germany

2021 ◽  
Author(s):  
Felix Przesdzink ◽  
Laura Mae Herzog ◽  
Florian Fiebelkorn
Keyword(s):  
Nature Conservation ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Exchange ◽  
Theory And Practice ◽  
Knowledge Mapping ◽  
Land User ◽  
User Groups ◽  
Conservation Projects

AbstractMany nature conservation projects fail primarily not because of a lack of knowledge about upcoming threats or viable conservation concepts but rather because of the inability to transfer knowledge into the creation of effective measures. Therefore, an increase in information exchange and collaboration between theory- and practice-oriented conservation actors, as well as between conservation actors, land user groups, and authorities may enhance the effectiveness of conservation goals. By considering the interactions between conservation stakeholders as social networks, social network analysis (SNA) can help identify structural optimization potential in these networks. The present study combines SNA and stakeholder analysis (SA) to assess the interactions between 34 conservation stakeholders in the major city and district of Osnabrück in northwestern Germany and offers insights into cost/benefit optimizations of these stakeholder interactions. Data were acquired using a pile sort technique and guideline-based expert interviews. The SA, based on knowledge mapping and SWOT (strength, weaknesses, opportunities, and threats) analysis, identified individual stakeholder’s complementary properties, indicating which among them would most benefit from mutual information exchange and collaboration. The SNA revealed discrepancies in information exchange and collaboration between theory- and practice-focused stakeholders. Conflicts were found predominantly between conservation associations, authorities and land user groups. Ecological research, funding, land-use conflicts, and distribution of conservation knowledge were identified as fields with high potential for increased information exchange and collaboration. Interviews also showed that the stakeholders themselves see many opportunities for increased networking in the region. The results are discussed in relation to the existing literature on nature conservation networks and used to recommend optimization measures for the studied network. Finally, the conclusion reflects upon the developed approach’s implications and possibilities for conservation stakeholders and planners in general.

scholarly journals Bibliometrics and visualization analysis of China's Service Quality Development Trend

2021 ◽  
Vol 233 ◽  
pp. 01164
Author(s):  
Lei Xu ◽  
Yuan Ni ◽  
Pengfei Han ◽  
Teng Zhang
Keyword(s):  
Social Network ◽  
Service Quality ◽  
Visual Analysis ◽  
Rapid Development ◽  
Development Trend ◽  
Network Evolution ◽  
Data Source ◽  
Application Fields ◽  
High Level ◽  
The Development Trend

From the aspect of bibliometrics and social network analysis, this paper studies the content characteristics and network evolution of service quality in China, form visual analysis charts and summarizes the research hotspots and development trends. Taking CNKI database as the data source, data mining and association analysis of sample data were carried out by means of manual judgment, keyword co-occurrence, bibliometric software BICOMB and Pajek. 872 related literatures were retrieved from 1999 to 2019, and the tendency of the number of published papers in each year was close to the inverted U type. This study expands the application fields of bibliometrics and social network software, and analyzes the development trend of service quality. The theoretical and practical research on service quality has achieved rapid development in the past 20 years. The library service quality and service quality satisfaction have always gotten a high level of attention, and the characteristics of network platforms for service quality have gradually become apparent because of the development of the Internet and computer technology.

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