DocumentCode :
3037282
Title :
Collaborative Discovering Influences of News in Social Network Sites
Author :
Li Ho Leung ; Ng, Vincent T. Y. ; Shiu, Simon C. K.
Author_Institution :
Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China
fYear :
2013
fDate :
13-16 Oct. 2013
Firstpage :
712
Lastpage :
717
Abstract :
In many cases, news articles are shared in Online Social Network (OSN) sites by their members. Disparate kinds of information are often propagated from the news media to the online social networks. Little efforts were devoted to measure or estimate the social influences of news media on the online social networks when compared to the identifications of their connectivity. In this paper, we took references on measurements of social influences among individuals in online social network and derived absolute, relative and combined measurements in order to deduce the social influences of single news article. Those measurements can be extended to a set of news articles and a social medium hence they can be used to evaluate and compare the social influences of the numerous news media. Experiments to compare the performances of the proposed measurements will also be demonstrated and discussed.
Keywords :
social aspects of automation; social networking (online); OSN sites; news article sharing; news media; online social network sites; online social networks; social influence measurements; Communities; Couplings; Media; Sociology; Statistics; Twitter; Influential measurements; social influences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location :
Manchester
Type :
conf
DOI :
10.1109/SMC.2013.126
Filename :
6721879
Link To Document :
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