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How do people link?: analysis of contact structures in human face-to-face proximity networks

Published: 25 August 2013 Publication History

Abstract

Understanding the process of link creation is rather important for link prediction in social networks. Therefore, this paper analyzes contact structures in networks of face-to-face spatial proximity, and presents new insights on the dynamic and static contact behavior in such real world networks. We focus on face-to-face contact networks collected at different conferences using the social conference guidance system Conferator. Specifically, we investigate the strength of ties and its connection to triadic closures in face-to-face proximity networks. Furthermore, we analyze the predictability of all, new and recurring links at different points of time during the conference. In addition, we consider network dynamics for the prediction of new links.

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cover image ACM Conferences
ASONAM '13: Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
August 2013
1558 pages
ISBN:9781450322409
DOI:10.1145/2492517
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 25 August 2013

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ASONAM '13
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ASONAM '13: Advances in Social Networks Analysis and Mining 2013
August 25 - 28, 2013
Ontario, Niagara, Canada

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Overall Acceptance Rate 116 of 549 submissions, 21%

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  • (2019)Predicting trading interactions in an online marketplace through location-based and online social networksInformation Retrieval10.1007/s10791-018-9336-z22:1-2(55-92)Online publication date: 1-Apr-2019
  • (2019)Dynamic human contact prediction based on naive Bayes algorithm in mobile social networksSoftware: Practice and Experience10.1002/spe.272750:11(2031-2045)Online publication date: 16-Jul-2019
  • (2017)Socially Aware Conference Participant Recommendation With Personality TraitsIEEE Systems Journal10.1109/JSYST.2014.234237511:4(2255-2266)Online publication date: Dec-2017
  • (2017)Descriptive Community DetectionFormal Concept Analysis of Social Networks10.1007/978-3-319-64167-6_3(41-58)Online publication date: 4-Nov-2017

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