DocumentCode :
602534
Title :
Complex physics model on prediction of life cycle of social network
Author :
Yingqiong Gu
fYear :
2013
fDate :
20-22 Jan. 2013
Firstpage :
1
Lastpage :
2
Abstract :
Currently, social network owns the hottest topic in people´s life. The real system belongs to the complex physics model and data-mining area. Social network, like facebook.com, myspace.com and twitter.com, is a real-time complex system. Author tries to introduce a model [1] to predict the life cycle of the social network. A social network is a social structure made up of a set of actors (such as individuals or organizations) and the dyadic ties between these actors. The social network perspective provides a clear way of analyzing the structure of whole social entities. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics.
Keywords :
data analysis; social networking (online); social sciences computing; Facebook; Myspace; complex physics model; data mining area; life cycle prediction; network dynamics; social entity; social network analysis; Arrays; Data models; Heating; Mathematical model; Physics; Predictive models; Social network services; Complex Physics Model [3]; Life cycle[4]; Social Network [2];
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Applications Technology (ICCAT), 2013 International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4673-5284-0
Type :
conf
DOI :
10.1109/ICCAT.2013.6522013
Filename :
6522013
Link To Document :
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