Social network extraction based on Web: A Review about Supervised Methods

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.