A Study on Network Centrality of Researchers and Journals in Tourism Sector using Social Network Analysis

This article examines social network centralities to identify peer group's opinion leader with the aim of determining whether an opinion leader and perceived value influence purchase intention in the field of paid mobile apps. Social network analysis (SNA) and regression analysis are applied to examine the hypotheses within the theoretical framework. The experiment involved a peer group of college students with total of 46 subjects. Using SPSS to analyze the influences of perceived value and the group's opinion leader on purchase intention, the results showed that consumer purchase intention is positively influenced by both the perceived value of paid mobile apps and positive advices given by opinion leader. In addition, an analysis using Ucinet 6 to examine consulting network centrality, friendship network centrality, and information centrality of every member of the group revealed that based on group structure, the group member having the highest centrality has the group's potential to be the opinion leader.

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Microblog Social Network Analysis Based on Network Group Behavior

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.798-799.435 ◽

2013 ◽

Vol 798-799 ◽

pp. 435-438

Author(s):

Lin Wang ◽

Yang Zhao ◽

She Hong Liang ◽

Kan Shi

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Group Behavior ◽

Scientific Basis ◽

Network Centrality ◽

Relationship Matrix ◽

Close Attention ◽

Mixed Network ◽

Exchange Data

This paper has searched the six key influential network group incidents in 2011 in China through SINA Microblog platform, screen the most active Microblog users who pay close attention to the incidents, their Microblog followers are above 50,000 , finally collects 30 Microblog user information by the way of snowballing, form 30*30 “follow – be followed ” Microblog netizens relationship matrix. Specific to this asymmetric matrix, the authors use UCINET social network analysis software and visual software NETDRAW, analyze Microblog network structure, network centrality based on network group incidents, and comprehensively describe the laws to release and acquire group incidents under the mixed network environment of Microblog, combined with the massive Microblog exchange data, to analyze the non-rational behavior of the netizens, so as to provide a scientific basis for setting out the appropriate guiding strategy and interventions.

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Correlation Between Network Centrality and Efficiency of Ports:Using Social Network Analysis

Korean Journal of Logistics ◽

10.15735/kls.2014.22.4.001 ◽

2014 ◽

Vol 22 (4) ◽

pp. 1-14 ◽

Cited By ~ 7

Author(s):

김주혜 ◽

Oh Kyoung Kwon

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Network Centrality

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The Overlap of Collaboration and Planning Networks: A Post-Harvey Study

Journal of Planning Education and Research ◽

10.1177/0739456x21995899 ◽

2021 ◽

pp. 0739456X2199589

Author(s):

Bryce Hannibal ◽

Sierra Woodruff ◽

Matthew Malecha

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Hazard Mitigation ◽

Network Centrality

This paper uses social network analysis to assess the overlap of organizations involved in hazard mitigation and planning networks in Houston, TX. We compare measures of network centrality and density to highlight unique characteristics across two networks and discuss implications of connectivity within each network. Results suggest that central actors occupy important structural locations within both networks. These overlapping organizations may be highly influential in both planning and hazard mitigation efforts. Finally, we discuss aspects of connectivity in these networks and discuss how the networks can be used to become more equitable and holistic in planning and hazard mitigation efforts.

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