DocumentCode
2400178
Title
Structural Predictors of Tie Formation in Twitter: Transitivity and Mutuality
Author
Golder, Scott A. ; Yardi, Sarita
Author_Institution
Dept. of Sociology, Cornell Univ., Ithaca, NY, USA
fYear
2010
fDate
20-22 Aug. 2010
Firstpage
88
Lastpage
95
Abstract
New ties are often formed between people who already have friends in common. Though the social sciences have addressed the effects of existing structural patterns on the formation of new ties, less attention has been given to ties in directed networks. Drawing from the microblogging service Twitter, we conducted a web-based experiment in which subjects were asked to rate their interest in forming ties to other people, blind to existing network connections between them. We show that two structural characteristics, transitivity and mutuality, are significant predictors of the desire to form new ties. Our findings shed light on tie formation, especially in online networks.
Keywords
social networking (online); social sciences computing; Twitter; microblogging service; online networks; tie formation; Analytical models; Predictive models; Psychology; Recruitment; Software; Twitter; Twitter; social networks; triadic closure;
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.2010.22
Filename
5590841
Link To Document