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An Agent-Based Model for Information Diffusion Over Online Social Networks

Chen, Zhuo
http://rave.ohiolink.edu/etdc/view?acc_num=kent1475760015492269

Abstract Details

2016, MA, Kent State University, College of Arts and Sciences / Department of Geography.
Nowadays, social networks services such as Facebook, Twitter, Instagram, etc. have become popular platforms for either celebrities, news media, organizations, governors or general public to express their ideas and opinions. They have created a great opportunity for researchers to explore how information spread through online social networks. Benefited from this, this thesis studies the efficient way of information diffusion on online social networks using the approach of agent-based modeling (ABM). A NetLogo ABM was created to conduct the experiments and analyses, along with the real network dataset retrieved from Twitter. It shows that with the same number of nodes and edges, the network having higher average path length or lower average clustering coefficient tends to have wider information diffusion. In addition, how to locate optimal early adopters in order to satisfy efficient information diffusion mainly depends on the network structure and propagation probabilities among individuals in the network. This thesis aims at contributing to studies of online social networks on information diffusion from the perspective of efficient diffusion with agent-based modeling and simulation. Application of this thesis could benefit those from business or government who want to disseminate advertisement/information in a fast and economic way. Outcomes from this study should also provide hints to the geography likely behind information diffusion in social networks.
Jay Lee (Advisor)
Xinyue Ye (Committee Member)
Eric Shook (Committee Member)
129 p.
Geography; Information Science; Information Technology
information diffusion, agent-based modeling, social network, Twitter, efficient information diffusion

Recommended Citations

Citations

  • Chen, Z. (2016). An Agent-Based Model for Information Diffusion Over Online Social Networks [Master's thesis, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1475760015492269

    APA Style (7th edition)

  • Chen, Zhuo. An Agent-Based Model for Information Diffusion Over Online Social Networks. 2016. Kent State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1475760015492269.

    MLA Style (8th edition)

  • Chen, Zhuo. "An Agent-Based Model for Information Diffusion Over Online Social Networks." Master's thesis, Kent State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=kent1475760015492269

    Chicago Manual of Style (17th edition)

kent1475760015492269
1,208
© 2016, all rights reserved.
This open access ETD is published by Kent State University and OhioLINK.
Release 3.2.12