Paper Info
Title
Generative models for cellular social networks
Abstract
The inherent structure of a social network has a significant impact on its functioning and health. Understanding the topology can lead to better strategies to control the functioning of the network and enable rapid identification and prevention of risks such as fragmentation and spread of infection. This paper focuses on modeling and analyzing the structure of the social network associated with voice and SMS communication in a large community in Asia. It studies the topological characteristics of networks and develops a generative model for them. Based on the typical small world characteristics, large scale test systems can be developed to better study the working of new algorithms for cell-phone networks.
Year
DOI
Venue
2014
10.1109/ICCNC.2014.6785494
ICNC
Keywords
Field
DocType
cellular social networks,fragmentation,topological characteristics,cellular radio,large scale test systems,cell-phone networks,small world characteristics,asia,topology,network functioning,electronic messaging,social networking (online),generative models,mobile computing,sms communication,infection spread
Mobile computing,Data science,World Wide Web,Social network,Cellular radio,Electronic messaging,Generative grammar,Engineering,Generative model
Conference
ISSN
Citations 
PageRank 
2325-2626
0
0.34
References 
Authors
3
2
Name
Order
Citations
PageRank
Deepjyoti Deka16816.63
Sriram Vishwanath24185445.45