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Work in Progress

Ranking Designs and Users in Online Social Networks

Published: 18 April 2015 Publication History

Abstract

This work-in-progress presents a new algorithm that leverages social network structure to rank designs and users in online design communities. The algorithm is based on the intuition that the importance of a design should depend on the rank of the users that created and promoted it, and the importance of a user should depend on the rank of the designs he creates and promotes in turn. The algorithm produces design rankings that are positively correlated with existing social metrics such as number of likes, but also allows designs with second-order social import to rise through the ranks. We demonstrate that the algorithm converges, and analyze the rankings it produces on both simulated and scraped social design networks.

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Easley, David, and Jon Kleinberg. "Networks, Crowds, and Markets." Cambridge University.
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Gilbert, Eric, et al. "I Need to Try This!: A Statistical Overview of Pinterest." Proc. CHI, 2013.
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Halberg, Victor et al. "Tweetrank: An adaptation of the PageRank algorithm to the Twitter world." Tech Report
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Kwak, Haewoon, et al. "What is Twitter, a social network or a news media?." Proc. WWW, 2010.
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Ravikumar, Srihith et al. "Ranking tweets considering trust and relevance." Proc. IIWeb, 2012.
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Yizhou Sun, et al. "Ranking-based clustering of heterogeneous information networks with star network schema." Proc. KDD, 2009.

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  • (2018)And Now for Something Completely DifferentProceedings of the 10th ACM Conference on Web Science10.1145/3201064.3201088(163-172)Online publication date: 15-May-2018

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  1. Ranking Designs and Users in Online Social Networks

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    cover image ACM Conferences
    CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems
    April 2015
    2546 pages
    ISBN:9781450331463
    DOI:10.1145/2702613
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 18 April 2015

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    Author Tags

    1. design
    2. social networks

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    • Work in progress

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    CHI '15
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    CHI '15: CHI Conference on Human Factors in Computing Systems
    April 18 - 23, 2015
    Seoul, Republic of Korea

    Acceptance Rates

    CHI EA '15 Paper Acceptance Rate 379 of 1,520 submissions, 25%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    • (2018)And Now for Something Completely DifferentProceedings of the 10th ACM Conference on Web Science10.1145/3201064.3201088(163-172)Online publication date: 15-May-2018

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