NDLI: Analysis on Community Charactristics of Online Social Network

Content Provider	IEEE Xplore Digital Library
Author	Yang Yang Yuchun Guo Yanni Ma
Copyright Year	2010
Abstract	With the rapid development of large-scale online social network applications, understanding the community characteristics of online social networks is benefit to improve application performance. Characteristics of communities are studied based on real measurements of You Tube, a popular online social network. Adapt to the huge scale of online social networks, we modify the original community discovery algorithm, the label propagation algorithm, to reach a balance between goodness of community division and time efficiency. We analyze the distribution of community and group sizes and the relation between community structure and group membership user explicitly claimed. Our experiment show that both the community sizes and group sizes follow a power-law distribution and the dependency of community membership on the group membership is evident, but the latter is neither the only nor the main origin of the community structure. Also, we studied assortative matching, degree distribution of the entire network and the largest scale of community. The results confirm that assortativity matching of the entire network is much higher than inter-communities, both in degree and out degree distributions of the largest scale community and the network satisfy power-law property.
Starting Page	339
Ending Page	345
File Size	369577
Page Count	7
File Format	PDF
ISBN	9781424484348
DOI	10.1109/CyberC.2010.68
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Group Communities Community characteristic Partitioning algorithms Classification algorithms Indexes YouTube Online social network Label propagation algorithm
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Community Detection Using an Optimized Label Propagation Algorithm

An improved algorithm for community discovery in social networks based on label propagation

Memory-based label propagation algorithm for community detection in social networks

Data clustering based on complex network community detection

Greedy local algorithm for overlapping community detection in online social networks

LabelRank: A stabilized label propagation algorithm for community detection in networks

Detecting Dynamic and Static Geo-social Communities

Detecting highly overlapping community structure based on Maximal Clique Networks

Community Detection Using Label Propagation in Entropic Order

Analysis on Community Charactristics of Online Social Network

Similar Documents

Community Detection Using an Optimized Label Propagation Algorithm

An improved algorithm for community discovery in social networks based on label propagation

Memory-based label propagation algorithm for community detection in social networks

Data clustering based on complex network community detection

Greedy local algorithm for overlapping community detection in online social networks

LabelRank: A stabilized label propagation algorithm for community detection in networks

Detecting Dynamic and Static Geo-social Communities

Detecting highly overlapping community structure based on Maximal Clique Networks

Community Detection Using Label Propagation in Entropic Order

Analysis on Community Charactristics of Online Social Network