Nasution, Mahyuddin K. M. (2016) Extracted Social Network Mining. The 5th International Conference on Information Technology and Engineering Application (ICIBA2016).
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Abstract
In this paper we study the relationship between the resources of social networks by exploring the Web as big data based on a simple search engine. We have used set theory by utilizing the occurrence and co-occurrence for defining the singleton or doubleton spaces of event in a search engine model, and then provided them as representation of social actors and their relationship in clusters. Thus, there are behaviors of social actors and their relation based on Web.
Item Type: | Article |
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Uncontrolled Keywords: | Extracted Social Network, Social Network, Social Network Mining |
Subjects: | A General Works > AI Indexes (General) T Technology > T Technology (General) |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
Depositing User: | AssocProf. Leon Abdillah |
Date Deposited: | 28 Mar 2016 00:26 |
Last Modified: | 28 Mar 2016 08:56 |
URI: | http://eprints.binadarma.ac.id/id/eprint/2778 |
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