Structure Community Analysis on Social Network

Diah Novita Sari, Diah Novita Sari and Dedy, Syamsuar and Negara, Edi Surya (2017) Structure Community Analysis on Social Network. The 6th International Conference on Information Technology and Business Application (ICIBA2017), 1. pp. 1-7.

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Abstract

Social network analysis is one field of science that has its own theory, method, and research. Social network analysis becomes one way that can be used to know the structure of community on social networks. Analysis of this community structure can provide information about the centrality of actors in a community network. The purpose of this research is to analyze the community structure contained in Twitter's social network and whoever the centrality in the community. The object of this research is twitter social network with data limit of 6000 data. The method used in this research is the Katz algorithm. The result of this research is the size of the community network with the keyword "jokowi" of 4052 nodes. Low network density is 0 (zero). The reciprocity of this research is two-way. Network diameter in this research is 6 and distance / Average Path length is 2.23 and there are 12 accounts as important users.

Item Type: Article
Subjects: A General Works > AI Indexes (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mr Edi Surya Negara
Date Deposited: 07 Aug 2018 07:54
Last Modified: 07 Aug 2018 07:54
URI: http://eprints.binadarma.ac.id/id/eprint/3831

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