DocumentCode
144455
Title
Social Network Analysis Tools
Author
Akhtar, Naheed
Author_Institution
Dept. of Comput. Eng., Aligarh Muslim Univ., Aligarh, India
fYear
2014
fDate
7-9 April 2014
Firstpage
388
Lastpage
392
Abstract
Social networks like Facebook, Twitter, and Google+ are most visited domains on the Internet. They contain huge data about the users and the relationships among them. To analyze and mine useful information from these huge social network data, special graph based mining tools are required that can easily model the structure of the social networks. A number of such analysis tools are available with their own features and benefits. Choosing an appropriate tool for a particular task is difficult to decide. This work present a comparative analysis of four social network analysis tools-Network, Gephi, Pajek, IGraph based on platform, execution time, Graph types, algorithms complexity, input file format and graph features.
Keywords
data mining; graph theory; information analysis; social networking (online); Gephi; IGraph; Internet; Pajek; algorithm complexity; execution time; graph features; graph types; information analysis; information mining; input file format; social network analysis tools; special graph based mining tools; Algorithm design and analysis; Layout; Libraries; Social network services; Software algorithms; Software tools; Gephi; IGraph; Networkx; Pajek; SNA tools; social networks analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on
Conference_Location
Bhopal
Print_ISBN
978-1-4799-3069-2
Type
conf
DOI
10.1109/CSNT.2014.83
Filename
6821424
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