Paper Info
Title
Towards intelligent mining of public social networks' influence in society
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.
Year
DOI
Venue
2013
10.1109/IFSA-NAFIPS.2013.6608447
IFSA World Congress and NAFIPS Annual Meeting
Keywords
Field
DocType
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,Computational Intelligence.,Intelligent Data Mining,Natural Language Processing,Public Social Networks,Twitter
Data science,Data collection,World Wide Web,Social network,Computational intelligence,Computer science
Conference
Citations 
PageRank 
References 
3
0.45
17
Authors
3
Name
Order
Citations
PageRank
João Paulo Carvalho111017.52
Vasco Calais Pedro230.45
Fernando Batista311521.04