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A familiar face(book): profile elements as signals in an online social network

Published: 29 April 2007 Publication History

Abstract

Using data from a popular online social network site, this paper explores the relationship between profile structure (namely, which fields are completed) and number of friends, giving designers insight into the importance of the profile and how it works to encourage connections and articulated relationships between users. We describe a theoretical framework that draws on aspects of signaling theory, common ground theory, and transaction costs theory to generate an understanding of why certain profile fields may be more predictive of friendship articulation on the site. Using a dataset consisting of 30,773 Facebook profiles, we determine which profile elements are most likely to predict friendship links and discuss the theoretical and design implications of our findings.

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      cover image ACM Conferences
      CHI '07: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2007
      1654 pages
      ISBN:9781595935939
      DOI:10.1145/1240624
      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 ACM 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: 29 April 2007

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      Author Tags

      1. online social networks
      2. profiles
      3. signaling theory
      4. social capital

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      April 28 - May 3, 2007
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      CHI '07 Paper Acceptance Rate 182 of 840 submissions, 22%;
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