research-article

Modeling dynamic network structure in social networks

Authors:

Suwimon Vongsingthong,

Sirapat Boonkrong,

Herwig UngerAuthors Info & Claims

ICCIP '17: Proceedings of the 3rd International Conference on Communication and Information Processing

Pages 395 - 399

https://doi.org/10.1145/3162957.3163019

Published: 24 November 2017 Publication History

Abstract

This paper provides an overview of the premier approach to understand an affectation of distinguishable human behavior to network topology. A psychological functioning which differentiated a user's behavior from another was inferred by Big Five Personality factors. Users' transitivity in social network was tracked via a formal random activity model of Colored Petri-nets, integrating three crucial influences of underlying network structure, user behavior, and content. The complexity of the human dynamics, internal state of decisions, and user connectivity over time was then mimicked and the results demonstrated that the simulated network occupied the property of real-world complex network and individual user had different effects to social network structure.

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Cited By

Karadoğan AKarcı A(2022)Marked social networks: A new model of social networks based on dynamic behaviorsEngineering Science and Technology, an International Journal10.1016/j.jestch.2020.12.02135(100924)Online publication date: Nov-2022
https://doi.org/10.1016/j.jestch.2020.12.021
Kong JYu WHao F(2021)A CPN-based information propagation model in Online Social Networks2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS)10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00060(323-330)Online publication date: Dec-2021
https://doi.org/10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00060

Index Terms

Modeling dynamic network structure in social networks

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Published In

cover image ACM Other conferences

ICCIP '17: Proceedings of the 3rd International Conference on Communication and Information Processing

November 2017

545 pages

ISBN:9781450353656

DOI:10.1145/3162957

Conference Chairs:
Jalel Ben-Othman
University of Paris 13, France
,
Feng Gang
UESTC, China
,
Program Chairs:
Jain-Shing Liu
Providence University, Taiwan
,
Masayuki Arai
Graduate School of Science and Engineering Teikyo University, Japan

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 November 2017

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ICCIP 2017

ICCIP 2017: 2017 the 3rd International Conference on Communication and Information Processing

November 24 - 26, 2017

Tokyo, Japan

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Overall Acceptance Rate 61 of 301 submissions, 20%

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Cited By

Karadoğan AKarcı A(2022)Marked social networks: A new model of social networks based on dynamic behaviorsEngineering Science and Technology, an International Journal10.1016/j.jestch.2020.12.02135(100924)Online publication date: Nov-2022
https://doi.org/10.1016/j.jestch.2020.12.021
Kong JYu WHao F(2021)A CPN-based information propagation model in Online Social Networks2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS)10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00060(323-330)Online publication date: Dec-2021
https://doi.org/10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00060

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