DocumentCode :
2057785
Title :
Social Interactions Representation as Users Behavioral Contingencies and Evaluation in Social Networks
Author :
Gomes, Alan Keller ; Pimentel, Maria Da Graça C
Author_Institution :
Univ. de Sao Paulo, Sao Paulo, Brazil
fYear :
2011
fDate :
18-21 Sept. 2011
Firstpage :
275
Lastpage :
278
Abstract :
In social network analysis, models for the representation of user´s interactions do not explain which actions are performed during social interactions, and which types of media are used in the interactions. We present a novel technique for the representation of social interactions as users´ behavioral contingencies in the form of if-then rules, and for the evaluation of the contingencies using data mining procedures. We present the results of applying our technique in a group of Facebook users, identifying the social interactions in which users were more involved the most.
Keywords :
behavioural sciences; data mining; social networking (online); social sciences computing; Facebook users; data mining; if-then rule; social interactions representation; social network analysis; user behavioral contingencies; user interaction representation; Correlation; Data mining; Facebook; Games; Machine learning; Media; Social Networks; User Behavior;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantic Computing (ICSC), 2011 Fifth IEEE International Conference on
Conference_Location :
Palo Alto, CA
Print_ISBN :
978-1-4577-1648-5
Electronic_ISBN :
978-0-7695-4492-2
Type :
conf
DOI :
10.1109/ICSC.2011.103
Filename :
6061346
Link To Document :
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