DocumentCode
2427365
Title
Complexity science and social media: Network modeling in following “Tweets”
Author
Graham, Kristin C.
Author_Institution
Dept. of Syst. & Inf. Eng., Univ. of Virginia, Charlottesville, VA, USA
fYear
2010
fDate
23-23 April 2010
Firstpage
141
Lastpage
146
Abstract
This paper explores the behavior of the Twitter social media network through the lens of complex systems and agent-based models. By examining the behavior of power-law-based preferential attachment networks, taking data from existing Twitter accounts, and creating a basic model of the network using these data and NetLogo modeling software, this research effort provides further insight into the processes involved in community self-organization through Twitter.
Keywords
large-scale systems; social networking (online); software agents; NetLogo modeling software; Twitter social media network; agent-based models; community self-organization; complex systems; complexity science; network modeling; power-law-based preferential attachment networks; social media; Design engineering; Humans; Lenses; Mathematical model; Optical design; Power system modeling; Public relations; Social network services; Systems engineering and theory; Twitter;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems and Information Engineering Design Symposium (SIEDS), 2010 IEEE
Conference_Location
Charlottesville, VA
Print_ISBN
978-1-4244-7519-3
Type
conf
DOI
10.1109/SIEDS.2010.5469662
Filename
5469662
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