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

#### Yilmaz ATAY [1] , İsmail KOC [2] , Mehmet BESKİRLİ [3]

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.

Community detection, discretization, invasive weed optimization, social networks, SNA
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Konular Sosyal Articles Yazar: Yilmaz ATAY Yazar: İsmail KOC Yazar: Mehmet BESKİRLİ Yayımlanma Tarihi : 8 Eylül 2017
 Bibtex @araştırma makalesi { epess337294, journal = {The Eurasia Proceedings of Educational and Social Sciences}, issn = {}, eissn = {2587-1730}, address = {}, publisher = {ISRES Organizasyon Turizm Eğitim Danışmanlık Ltd. Şti.}, year = {2017}, volume = {7}, pages = {221 - 226}, doi = {}, title = {DETECTION OF COHESIVE SUBGROUPS IN SOCIAL NETWORKS USING INVASIVE WEED OPTIMIZATION ALGORITHM}, key = {cite}, author = {ATAY, Yilmaz and KOC, İsmail and BESKİRLİ, Mehmet} } APA ATAY, Y , KOC, İ , BESKİRLİ, M . (2017). DETECTION OF COHESIVE SUBGROUPS IN SOCIAL NETWORKS USING INVASIVE WEED OPTIMIZATION ALGORITHM. The Eurasia Proceedings of Educational and Social Sciences , 7 () , 221-226 . Retrieved from https://dergipark.org.tr/tr/pub/epess/issue/30770/337294 MLA ATAY, Y , KOC, İ , BESKİRLİ, M . "DETECTION OF COHESIVE SUBGROUPS IN SOCIAL NETWORKS USING INVASIVE WEED OPTIMIZATION ALGORITHM". The Eurasia Proceedings of Educational and Social Sciences 7 (2017 ): 221-226 Chicago ATAY, Y , KOC, İ , BESKİRLİ, M . "DETECTION OF COHESIVE SUBGROUPS IN SOCIAL NETWORKS USING INVASIVE WEED OPTIMIZATION ALGORITHM". The Eurasia Proceedings of Educational and Social Sciences 7 (2017 ): 221-226 RIS TY - JOUR T1 - DETECTION OF COHESIVE SUBGROUPS IN SOCIAL NETWORKS USING INVASIVE WEED OPTIMIZATION ALGORITHM AU - Yilmaz ATAY , İsmail KOC , Mehmet BESKİRLİ Y1 - 2017 PY - 2017 N1 - DO - T2 - The Eurasia Proceedings of Educational and Social Sciences JF - Journal JO - JOR SP - 221 EP - 226 VL - 7 IS - SN - -2587-1730 M3 - UR - Y2 - 2020 ER - EndNote %0 The Eurasia Proceedings of Educational and Social Sciences DETECTION OF COHESIVE SUBGROUPS IN SOCIAL NETWORKS USING INVASIVE WEED OPTIMIZATION ALGORITHM %A Yilmaz ATAY , İsmail KOC , Mehmet BESKİRLİ %T DETECTION OF COHESIVE SUBGROUPS IN SOCIAL NETWORKS USING INVASIVE WEED OPTIMIZATION ALGORITHM %D 2017 %J The Eurasia Proceedings of Educational and Social Sciences %P -2587-1730 %V 7 %N %R %U ISNAD ATAY, Yilmaz , KOC, İsmail , BESKİRLİ, Mehmet . "DETECTION OF COHESIVE SUBGROUPS IN SOCIAL NETWORKS USING INVASIVE WEED OPTIMIZATION ALGORITHM". The Eurasia Proceedings of Educational and Social Sciences 7 / (Eylül 2017): 221-226 . AMA ATAY Y , KOC İ , BESKİRLİ M . DETECTION OF COHESIVE SUBGROUPS IN SOCIAL NETWORKS USING INVASIVE WEED OPTIMIZATION ALGORITHM. EPESS. 2017; 7: 221-226. Vancouver ATAY Y , KOC İ , BESKİRLİ M . DETECTION OF COHESIVE SUBGROUPS IN SOCIAL NETWORKS USING INVASIVE WEED OPTIMIZATION ALGORITHM. The Eurasia Proceedings of Educational and Social Sciences. 2017; 7: 226-221.

Makalenin Yazarları
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