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Exploring the differences and similarities between hierarchical decentralized search and human navigation in information networks

Published: 05 September 2012 Publication History

Abstract

Decentralized search in networks is an activity that is often performed in online tasks. It refers to situations where a user has no global knowledge of a network's topology, but only local knowledge. On Wikipedia for instance, humans typically have local knowledge of the links emanating from a given Wikipedia article, but no global knowledge of the entire Wikipedia graph. This makes the task of navigation to a target Wikipedia article from a given starting article an interesting problem for both humans and algorithms. As we know from previous studies, people can have very efficient decentralized search procedures that find shortest paths in many cases, using intuitions about a given network. These intuitions can be modeled as hierarchical background knowledge that people access to approximate a networks' topology. In this paper, we explore the differences and similarities between decentralized search that utilizes hierarchical background knowledge and actual human navigation in information networks. For that purpose we perform a large scale study on the Wikipedia information network with over 500,000 users and 1,500,000 click trails. As our results reveal, a decentralized search procedure based on hierarchies created directly from the link structure of the information network simulates human navigational behavior better than simulations based on hierarchies that are created from external knowledge.

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      cover image ACM Other conferences
      i-KNOW '12: Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies
      September 2012
      244 pages
      ISBN:9781450312424
      DOI:10.1145/2362456
      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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      Publication History

      Published: 05 September 2012

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      Author Tags

      1. Wikipedia
      2. decentralized search
      3. navigation
      4. simulations

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      View all
      • (2021)Towards Re-Decentralized Future of the Web: Privacy, Security and Technology DevelopmentActa Informatica Pragensia10.18267/j.aip.16910:3(349-369)Online publication date: 31-Dec-2021
      • (2020)Quantifying Engagement with Citations on WikipediaProceedings of The Web Conference 202010.1145/3366423.3380300(2365-2376)Online publication date: 20-Apr-2020
      • (2020)Navigation leads for exploratory search and navigation in digital librariesKnowledge and Information Systems10.1007/s10115-019-01434-2Online publication date: 31-Jan-2020
      • (2019)On the right track! Analysing and Predicting Navigation Success in WikipediaProceedings of the 30th ACM Conference on Hypertext and Social Media10.1145/3342220.3343650(143-152)Online publication date: 12-Sep-2019
      • (2019)Behavior Analysis for Electronic Commerce Trading Systems: A SurveyIEEE Access10.1109/ACCESS.2019.29332477(108703-108728)Online publication date: 2019
      • (2017)A method for evaluating discoverability and navigability of recommendation algorithmsComputational Social Networks10.1186/s40649-017-0045-34:1Online publication date: 11-Oct-2017
      • (2016)Evaluating and Improving Navigability of WikipediaProceedings of the 12th International Symposium on Open Collaboration10.1145/2957792.2957813(1-10)Online publication date: 17-Aug-2016
      • (2016)Improving Website Hyperlink Structure Using Server LogsProceedings of the Ninth ACM International Conference on Web Search and Data Mining10.1145/2835776.2835832(615-624)Online publication date: 8-Feb-2016
      • (2016)A Method for Evaluating the Navigability of Recommendation AlgorithmsComplex Networks & Their Applications V10.1007/978-3-319-50901-3_20(247-259)Online publication date: 30-Nov-2016
      • (2015)Using ontologies to model human navigation behavior in information networks: A study based on WikipediaSemantic Web10.3233/SW-1401436:4(403-422)Online publication date: 7-Aug-2015
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