DocumentCode :
3165826
Title :
Towards intelligent mining of public social networks´ influence in society
Author :
Carvalho, Jose P. ; Calais Pedro, Vasco ; Batista, F.
Author_Institution :
Inst. Super. Tecnico, Tech. Univ. of Lisbon, Lisboa, Portugal
fYear :
2013
fDate :
24-28 June 2013
Firstpage :
478
Lastpage :
483
Abstract :
This paper presents an overview of a proposed framework for the intelligent mining of the influence of public social networks in society. The framework consists of a data collection platform and a set of intelligent social-data processing modules. These modules identify relevant trending social topics and relevant actors within those topics, and trace back in time the evolution of those topics in the public social networks. The framework creates quantitative and qualitative indicators that can be used to analyze the role and the influence of the social networks and of their main actors in society.
Keywords :
data mining; social networking (online); social sciences computing; data collection platform; intelligent social-data processing modules; public social network influence; qualitative indicator; quantitative indicator; social intelligent data mining; social topics; society; Blogs; Data mining; Facebook; Natural language processing; Taxonomy; Twitter; Computational Intelligence.; Intelligent Data Mining; Natural Language Processing; Public Social Networks; Twitter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location :
Edmonton, AB
Type :
conf
DOI :
10.1109/IFSA-NAFIPS.2013.6608447
Filename :
6608447
Link To Document :
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