Author:
Nasution Mahyuddin K. M.,Noah Shahrul Azman
Abstract
Abstract
The extraction of social networks from specific sources of information is essential. It relates to the disclosure of social structures with prevailing behavior in accordance with that information source. It, of course, requires methods that are generally in a supervised stream. The method changes based on the demands of data modeling, which are generally textual, but do not rule out other types of information, such as databases or different literacy. This paper reviews the methods that have been developed and the types of information sources involved as input to the social network extraction process. This brief review follows the literature related to social network extraction involving supervised methods. Based on different information sources, there are different models in supervised stream.
Subject
General Physics and Astronomy
Reference50 articles.
1. Extracting social networks among various entities on the Web;Jin,2007
2. POLYPHONET: An advanced social networks extraction system from the Web;Matsuo;Journal of Web SEmantics: Science, Services and Agents on the World Wide Web,2007
3. The author-recipient-topic model for topic and role discovery in social networks: Experiments with Enron and Academic Email;McCallum,2005
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