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2019 | OriginalPaper | Chapter

NET-EXPO: A Gephi Plugin Towards Social Network Analysis of Network Exposure for Unipartite and Bipartite Graphs

Authors : Muhammad “Tuan” Amith, Kayo Fujimoto, Cui Tao

Published in: HCI International 2019 - Posters

Publisher: Springer International Publishing

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Abstract

Social network analysis (SNA) concerns itself in studying network structures in relation to individuals’ behavior. Individuals may be influenced by their network members in their behavior, and thus past researchers have developed computational methods that allow us to measure the extent to which individuals are exposed to members with certain behavior within one’s social network, and that be correlated with their own behavior. Some of these methods include network exposure model, affiliation exposure model, and decomposed network exposure models. We developed a Gephi plugin that computes and visualizes these various kinds of network exposure models called NET-EXPO. We experimented with NET-EXPO on some social network datasets to demonstrate its pragmatic use in social network research. This plugin has the potential to equip researchers with a tool to compute network exposures in a user friendly way and simplify the process to compute and visualize the network data.

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previous chapter Correction to: Research on Design Process of Small Intangible Cultural Heritage Art Gallery Based on VRP-MUSEUM Technology—Taking the Art Gallery of Shanghai Style Lacquerware as an Example
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Footnotes
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Metadata
Title
NET-EXPO: A Gephi Plugin Towards Social Network Analysis of Network Exposure for Unipartite and Bipartite Graphs
Authors
Muhammad “Tuan” Amith
Kayo Fujimoto
Cui Tao
Copyright Year
2019
Book
HCI International 2019 - Posters

Print ISBN: 978-3-030-23524-6

Electronic ISBN: 978-3-030-23525-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-23525-3_1