Journal Article10.1109/JSAC.2013.SUP.0513049
From Technological Networks to Social Networks
112
TL;DR: This paper examines social network analysis and potential implications for the design of technological networks, and vice versa, and suggests new directions for future research in networking.
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Abstract: Social networks overlaid on technological networks account for a significant fraction of Internet use. Through graph theoretic and functionality models, this paper examines social network analysis and potential implications for the design of technological networks, and vice versa. Such interplay between social networks and technological networks suggests new directions for future research in networking.
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References
Identity and Search in Social Networks
TL;DR: A model is presented that offers an explanation of social network searchability in terms of recognizable personal identities: sets of characteristics measured along a number of social dimensions that may be applicable to many network search problems.
A Survey of Social-Based Routing in Delay Tolerant Networks: Positive and Negative Social Effects
TL;DR: The social properties in DTNs are summarized, some open issues and challenges in social-based approaches regarding the design of DTN routing protocols are discussed, and some of these methods either take advantages of positive social characteristics to assist packet forwarding or consider negative social characteristics such as selfishness.
Game Theoretic Analysis for Spectrum Sharing with Multi-Hop Relaying
Yong Xiao,Guoan Bi,Dusit Niyato +2 more
TL;DR: This paper studies spatial spectrum sharing (SSS) based multi-user cognitive radio (CR) networks that allow secondary users (SU) to access the licensed spectrum as long as the interference powers of primary users (PU) to be lower than a certain threshold.
Rumors in a Network: Who's the Culprit?
Devavrat Shah,Tauhid Zaman +1 more
- 01 Aug 2011
TL;DR: In this article, the authors provide a systematic study of the problem of finding the source of a rumor in a network and construct an estimator for the rumor source based upon a novel topological quantity which they termed rumor centrality.
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