Title :
Modeling User Behavior in Adoption and Diffusion of Twitter Clients
Author :
Dugundji, Elenna R. ; Poorthuis, Ate ; Van Meeteren, Michiel
Author_Institution :
Univ. van Amsterdam, Amsterdam, Netherlands
Abstract :
With the onset of ubiquitous social media technology, people leave numerous traces of their social behavior in - often publicly available - data sets. In this paper we look at a virtual community of independent ("Indie") software developers for the Macintosh and iPhone that use the social networking site Twitter. Using Twitter\´s API, we collect longitudinal data on network connections among the In die developers and their friends and followers (approximately15.000 nodes) and their Twitter behavior over a period of five weeks (more than 600.000 "tweets"). We use this dynamic data on the network and user behavior to analyze the adoption of Twitter client software.
Keywords :
behavioural sciences computing; data mining; social networking (online); ubiquitous computing; Indie software developers; Macintosh; Twitter API; Twitter client adoption; Twitter client diffusion; Twitter client software; dynamic data; iPhone; longitudinal data; network connection; social behavior; social networking site; ubiquitous social media technology; user behavior modeling; virtual community; Communities; Data models; Estimation; Internet; Software; Twitter; Modeling social media users; Social network contagion; Statistical methods; Twitter client interface;
Conference_Titel :
Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4577-1931-8
DOI :
10.1109/PASSAT/SocialCom.2011.95
