An Empirically Validated Framework for Limiting Free-Riding in P2P Networks Through the Use of Social Network Information
AbstractIn order to overcome the problem of free-riding in current P2P system, we suggest applying social network theory. Based on our exploration of the overlapping research fields of social networks and peer-to-peer networks, we propose a new P2P framework within this paper. It specifies social network information that can be used in a P2P system to avoid performance inefficiencies caused by free-riding or by policies to overcome free-riding. To identify this specific social network information, we conduct a survey among a small group of students, who use Skype, a popular P2P system. We use descriptive analysis and multiple regression analysis to analyze the survey data. The results of the analyses provide an indication that the idea of using social network information in P2P systems is valid and that it is supported by P2P users. Based on our findings, we make recommendations for a successful implementation of social-network-information-based P2P systems that can overcome free-riding issues and, consequently, improve the performance of P2P systems.
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Bibliographic InfoPaper provided by Seoul National University; Technology Management, Economics, and Policy Program (TEMEP) in its series TEMEP Discussion Papers with number 201060.
Length: 16 pages
Date of creation: Jun 2010
Date of revision: Jun 2010
Publication status: Published in PACIS2010, Pacific Asia Conference on Information Systems, PACIS 2010, Taipei, Taiwan, July 2010
Peer-to-peer systems; user behavior analysis; free-riding; social network information; human and social factors in IT adoption; IT deployment; IT use;
Find related papers by JEL classification:
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
- L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
- L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-07-10 (All new papers)
- NEP-CMP-2010-07-10 (Computational Economics)
- NEP-MKT-2010-07-10 (Marketing)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Jorn Altmann & Zelalem Berhanu Bedane, 2010. "A P2P File Sharing Network Topology Formation Algorithm Based on Social Network Information," TEMEP Discussion Papers 201049, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.
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