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Collective intelligence in the online social network of yahoo!answers and its implications

Published: 29 October 2012 Publication History

Abstract

Question and Answer (Q&A) websites such as Yahoo!Answers provide a platform where users can post questions and receive answers. These systems take advantage of the collective intelligence of users to find information. In this paper, we analyze the online social network (OSN) in Yahoo!Answers. Based on a large amount of our collected data, we studied the OSN's structural properties, which reveals strikingly distinct properties such as low link symmetry and weak correlation between indegree and outdegree. After studying the knowledge base and behaviors of the users, we find that a small number of top contributors answer most of the questions in the system. Also, each top contributor focuses on only a few knowledge categories. In addition, the knowledge categories of the users are highly clustered. We also study the knowledge base in a user's social network, which reveals that the members in a user's social network share only a few knowledge categories. Based on the findings, we provide guidance in the design of spammer detection algorithms and distributed Q&A systems. We also propose a friendship-knowledge oriented Q&A framework that synergically combines current OSN-based Q&A and web Q&A. We believe that the results presented in this paper are crucial in understanding the collective intelligence in the web Q&A OSNs and lay a cornerstone for the evolution of next-generation Q&A systems.

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      cover image ACM Conferences
      CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge management
      October 2012
      2840 pages
      ISBN:9781450311564
      DOI:10.1145/2396761
      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 October 2012

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      Author Tags

      1. collective intelligence
      2. knowledge networks
      3. on-line social networks

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      • (2019)The Innovation Ecology: Collaborative Information, Community Support, and Policy in a Creative Technology CommunityInformation in Contemporary Society10.1007/978-3-030-15742-5_58(614-624)Online publication date: 13-Mar-2019
      • (2018)Analysis of Knowledge Sharing Activities on a Social Network Incorporated Discussion Forum: A Case Study of DISboardsIEEE Transactions on Big Data10.1109/TBDATA.2017.27493074:4(432-446)Online publication date: 1-Dec-2018
      • (2018)SmartQ: A Question and Answer System for Supplying High-Quality and Trustworthy AnswersIEEE Transactions on Big Data10.1109/TBDATA.2017.27354424:4(600-613)Online publication date: 1-Dec-2018
      • (2017)Can Dynamic Knowledge-Sharing Activities Be Mirrored From the Static Online Social Network in Yahoo! Answers and How to Improve Its Quality of Service?IEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2016.258060647:12(3363-3376)Online publication date: Dec-2017
      • (2017)iASKIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2016.261886428:5(1346-1360)Online publication date: 1-May-2017
      • (2017)SocialQ&A: An Online Social Network Based Question and Answer SystemIEEE Transactions on Big Data10.1109/TBDATA.2016.26294873:1(91-106)Online publication date: 1-Mar-2017
      • (2016)A Comprehensive Survey and Classification of Approaches for Community Question AnsweringACM Transactions on the Web10.1145/293468710:3(1-63)Online publication date: 16-Aug-2016
      • (2015)iASK: a distributed Q&A system incorporating social community and global collective intelligence2015 IEEE International Conference on Peer-to-Peer Computing (P2P)10.1109/P2P.2015.7328516(1-10)Online publication date: Sep-2015
      • (2015)Deadline guaranteed service for multi-tenant cloud storage2015 IEEE International Conference on Peer-to-Peer Computing (P2P)10.1109/P2P.2015.7328515(1-10)Online publication date: Sep-2015
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