NDLI: User adaptation and long-run evolution in online communities

Content Provider	IEEE Xplore Digital Library
Author	Yu Zhang van der Schaar, M.
Copyright Year	2011
Description	Author affiliation: Department of Electrical Engineering, University of California, Los Angeles, USA (Yu Zhang; van der Schaar, M.)
Abstract	This paper focuses on analyzing the interactions emerging between users in online communities. Network utility maximization and other methods are not effective when the communities are composed of intelligent and self-interested users (multimedia social communities, social networks etc.), because the interests of the individual users may be in conflict. In our prior work, we propose to design protocols in a stationary community to provide users incentives to voluntarily operate according to pre-determined social norms and provide services. In this paper, we extend the study to analyze the interactions of self-interested users under a social norm in an online community of finite population, where the stationary property of the community does not hold. To optimize their long-term performance based on their knowledge, users adapt strategies to play their best response by solving individual stochastic control problems. Understanding the evolution of a community provides protocol designers guidelines for designing social norms in which no user will have the incentive to adapt and deviate from the prescribed protocol, which in turn encourages cooperative behavior among users and achieves the optimal social welfare of the community.
Starting Page	337
Ending Page	342
File Size	340273
Page Count	6
File Format	PDF
ISBN	9781612848006
ISSN	07431546
e-ISBN	9781612848013
e-ISBN	9781612847993
DOI	10.1109/CDC.2011.6161390
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Communities Servers Protocols Stability analysis Games Markov processes Guidelines
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

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

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