Social Network Extraction Based on Web. A Comparison of Superficial Methods
Nasution, Mahyuddin K. M.
Noah, Shahrul Azman
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The Web as a source of information has many potentials which allow to use the different treatments on social network extraction methods. The approaches generally we identified as superficial methods in unsupervised stream. However, the same resources of social networks, i.e. based on a community of social actors, reveal many of different approaches to produce social networks. Therefore, based on a treatment to another treatments, from the given treatments until the different social networks generated and it has been declared different methods. It requires comparison to reveal the properties of social networks and their methods in this paper. It is revealed that there is a core social network has similarity with other social networks is more than 1% as general property of the extracted social networks, whereby there is a social network for different methods has the common edges in graph.