2014
DOI: 10.5120/16558-3964
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Social Network Extraction: A Review of Automatic Techniques

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Cited by 9 publications
(4 citation statements)
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“…Network theory is a methodology for studying the topology and objects of complex networks using quantitative and qualitative graph-based analysis. Network theory has been used to solve problems in social science, computer science, data mining, and other related fields [26][27][28][29][30][31][32][33]. These applications applied the same core concept to demonstrate and analyze relationships between characteristics and actions, using a visual medium to present the relationships between different actors and allowing for full and precise descriptions of authentic conditions without resorting to complex mathematical equations.…”
Section: Relationship Between Network Theory and Information Processesmentioning
confidence: 99%
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“…Network theory is a methodology for studying the topology and objects of complex networks using quantitative and qualitative graph-based analysis. Network theory has been used to solve problems in social science, computer science, data mining, and other related fields [26][27][28][29][30][31][32][33]. These applications applied the same core concept to demonstrate and analyze relationships between characteristics and actions, using a visual medium to present the relationships between different actors and allowing for full and precise descriptions of authentic conditions without resorting to complex mathematical equations.…”
Section: Relationship Between Network Theory and Information Processesmentioning
confidence: 99%
“…In addition, network metrics can be used to evaluate the status of agents in social groups and the state of the entire social group. The network density and the distance between the core agent and other nodes can be used to extract relevant knowledge from practice [31,32].…”
Section: Relationship Between Network Theory and Information Processesmentioning
confidence: 99%
“…Since then a number of such efforts have been made to automatically extract underlying social networks from a multitude of data sources. A detailed discussion on the social network extraction methods has been provided in [11].These methods have been classified in [11] on the basis of the type of the information source used for extraction of relationships and in turn the social networks.…”
Section: Related Workmentioning
confidence: 99%
“…Because of space constraints we cannot discuss all of them here but readers interested in the same can refer to [11].…”
Section: Related Workmentioning
confidence: 99%