DocumentCode :
2409577
Title :
Does Similarity Breed Connection? - An Investigation in Blogcatalog and Last.fm Communities
Author :
Bisgin, Halil ; Agarwal, Nitin ; Xu, Xiaowei
Author_Institution :
Univ. of Arkansas at Little Rock, Little Rock, AR, USA
fYear :
2010
fDate :
20-22 Aug. 2010
Firstpage :
570
Lastpage :
575
Abstract :
Similarity breeds connections, the principle of homophily, has been well studied in existing sociology literature. Several studies have observed this phenomenon by conducting surveys on human subjects. These studies have concluded that new ties are formed between similar individuals. This phenomenon has been used to explain several socio-psychological concepts such as segregation, community development, social mobility, etc. However, due to the nature of these studies and limitations because of involvement of human subjects, conclusions from these studies are not easily extensible in online social media. Social media, which is becoming the infinite space for interactions, has exceeded all the expectations in terms of growth and user participation, for reasons beyond human mind. New ties are formed in social media similarly as they would emerge in real-world. However, given the differences between real-world and online social media, do the same factors that govern the construction of new ties in real-world also govern the construction of new ties in social media? In this article, we study this extremely significant question. We propose a systematic approach by studying two online social media sites, BlogCatalog and Last.fm at varying granularity of interactions and report our findings along with some interesting observations.
Keywords :
Web sites; psychology; social aspects of automation; social sciences computing; Last.fm; blogcatalog; homophily; online social media sites; similarity breed connection; socio-psychological concepts; sociology literature; Clustering algorithms; Communities; Construction industry; Humans; Media; Social network services; Tag clouds; BlogCatalog; Frequent Pattern Mining; Homophily; Last.fm; NDCG; Network Clustering; Online Social Media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Social Computing (SocialCom), 2010 IEEE Second International Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-8439-3
Electronic_ISBN :
978-0-7695-4211-9
Type :
conf
DOI :
10.1109/SocialCom.2010.90
Filename :
5591346
Link To Document :
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