DETECTION OF COHESIVE SUBGROUPS IN SOCIAL NETWORKS USING INVASIVE WEED OPTIMIZATION ALGORITHM

Yilmaz ATAY; İsmail KOC; Mehmet BESKİRLİ

Article Details

DETECTION OF COHESIVE SUBGROUPS IN SOCIAL NETWORKS USING INVASIVE WEED OPTIMIZATION ALGORITHM

Authors:

Yilmaz ATAY | İsmail KOC | Mehmet BESKİRLİ

Main Topics:

Sociology and anthropology

Journal:

The Eurasia Proceedings of Educational and Social Sciences 2017 Vol.7, pp.221-226

Document Type:

Article

Publication Date:

9/2017

Document Language:

Turkish

Document ID (Org No.):

2000658871

Abstract:

 


Social
network analysis (SNA) is a very popular research area that helps to
analyze social structures through graph theory. Objects in social structures
are represented by nodes and are modeled according to the relations (edges)
they establish with each other. The determination of community structures on
social networks is very important in terms of computer science. In this study,
the Invasive Weed Optimization (IWO) algorithm is proposed for the
detection of meaningful communities from social networks. This algorithm is
proposed for the first time in community detection (CD). In addition,
since the algorithm works in continuous space, it is made suitable for solving
the CD problems by being discretized. The experimental studies are
conducted on human-social networks such as Dutch College, Highland Tribes, Jazz
Musicians and Physicians. The results obtained from experimental results are
compared and analyzed in detail with the results of the Bat Algorithm and Gravitational
Search Algorithm. The comparative results indicate that IWO algorithm is an alternative technique in solving CD
problem in terms of solution quality.

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Article Details

DETECTION OF COHESIVE SUBGROUPS IN SOCIAL NETWORKS USING INVASIVE WEED OPTIMIZATION ALGORITHM

Authors: Yilmaz ATAY | İsmail KOC | Mehmet BESKİRLİ

Main Topics: Sociology and anthropology

Journal: The Eurasia Proceedings of Educational and Social Sciences 2017 Vol.7, pp.221-226

Document Type: Article

Publication Date: 9/2017

Document Language: Turkish

Document ID (Org No.): 2000658871

Issues

Authors:

Yilmaz ATAY | İsmail KOC | Mehmet BESKİRLİ

Main Topics:

Sociology and anthropology

Journal:

The Eurasia Proceedings of Educational and Social Sciences 2017 Vol.7, pp.221-226

Document Type:

Article

Publication Date:

9/2017

Document Language:

Turkish

Document ID (Org No.):

2000658871