DocumentCode
133931
Title
Detecting community structure based on traffic at node in networks
Author
Sihag, V.K. ; Anand, Abhineet ; Tomar, Ravi ; Chandra, Jagdish ; Tiwari, Rajeev ; Dumka, Ankur ; Poonia, A.S.
Author_Institution
Sardar Patel Univ. of Police, Vallabh Vidyanagar, India
fYear
2014
fDate
1-2 March 2014
Firstpage
1
Lastpage
9
Abstract
In the study of networks, such as complex network, social network or biological network; number of different characteristics of many nodes are found common. These characteristics includes small-world property, clustering and community structure, among others. In the context of networks, community structure refers to occurrence of groups of nodes in a network that are more densely connected internally, then with the rest of network. This heterogeneity of connection suggests that network has certain natural division within it. Being able to identify their sub-structure within the network can provide inside into how network function and topology affects each others.
Keywords
computational complexity; graph theory; network theory (graphs); pattern clustering; small-world networks; biological network; clustering characteristics; community structure detection; complex network; computational complexity; connection heterogeneity; network function; network node traffic; network substructure; network topology; node groups; small-world property; social network; Clustering algorithms; Communities; Complex networks; Complexity theory; Image edge detection; Program processors; Social network services; Activity Recognition; Acyclic Directed Graphs; Bayesian Networks; Customer Service; Digital Forensics; Live data acquisition; Online Commercial Intention; Social Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical, Electronics and Computer Science (SCEECS), 2014 IEEE Students' Conference on
Conference_Location
Bhopal
Print_ISBN
978-1-4799-2525-4
Type
conf
DOI
10.1109/SCEECS.2014.6804502
Filename
6804502
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