DocumentCode
589172
Title
Online Social Behavior in Twitter: A Literature Review
Author
Aarts, Olav ; van Maanen, Peter-Paul ; Ouboter, T. ; Schraagen, J.M.
Author_Institution
Netherlands Organ. for Appl. Sci. Res. (TNO), Netherlands
fYear
2012
fDate
10-10 Dec. 2012
Firstpage
739
Lastpage
746
Abstract
This literature review is aimed at examining state of the art research in the field of online social networks. The goal is to identify the current challenges within this area of research, given the questions raised in society. In this review we pay attention to three aspects of social networks: actor, message, and network characteristics. We further limit our review to research based on Twitter data, because this online social network is the most widely used by researchers in the field.
Keywords
behavioural sciences computing; social aspects of automation; social networking (online); Twitter data; actor characteristics; message characteristics; network characteristics; online social behavior; Communities; Conferences; Context; Media; Predictive models; Twitter; Social network services; Twitter;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining Workshops (ICDMW), 2012 IEEE 12th International Conference on
Conference_Location
Brussels
Print_ISBN
978-1-4673-5164-5
Type
conf
DOI
10.1109/ICDMW.2012.139
Filename
6406513
Link To Document