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

fYear

2011

fDate

9-11 Oct. 2011

Firstpage

1372

Lastpage

1379

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/PASSAT/SocialCom.2011.95

Filename

6113310