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