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      How the structure of Wikipedia articles influences user navigation

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          Abstract

          In this work we study how people navigate the information network of Wikipedia and investigate (i) free-form navigation by studying all clicks within the English Wikipedia over an entire month and (ii) goal-directed Wikipedia navigation by analyzing wikigames, where users are challenged to retrieve articles by following links. To study how the organization of Wikipedia articles in terms of layout and links affects navigation behavior, we first investigate the characteristics of the structural organization and of hyperlinks in Wikipedia and then evaluate link selection models based on article structure and other potential influences in navigation, such as the generality of an article's topic. In free-form Wikipedia navigation, covering all Wikipedia usage scenarios, we find that click choices can be best modeled by a bias towards article structure, such as a tendency to click links located in the lead section. For the goal-directed navigation of wikigames, our findings confirm the zoom-out and the homing-in phases identified by previous work, where users are guided by generality at first and textual similarity to the target later. However, our interpretation of the link selection models accentuates that article structure is the best explanation for the navigation paths in all except these initial and final stages. Overall, we find evidence that users more frequently click on links that are located close to the top of an article. The structure of Wikipedia articles, which places links to more general concepts near the top, supports navigation by allowing users to quickly find the better-connected articles that facilitate navigation. Our results highlight the importance of article structure and link position in Wikipedia navigation and suggest that better organization of information can help make information networks more navigable.

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          Experimental study of inequality and unpredictability in an artificial cultural market.

          Hit songs, books, and movies are many times more successful than average, suggesting that "the best" alternatives are qualitatively different from "the rest"; yet experts routinely fail to predict which products will succeed. We investigated this paradox experimentally, by creating an artificial "music market" in which 14,341 participants downloaded previously unknown songs either with or without knowledge of previous participants' choices. Increasing the strength of social influence increased both inequality and unpredictability of success. Success was also only partly determined by quality: The best songs rarely did poorly, and the worst rarely did well, but any other result was possible.
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            Information foraging.

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              Navigation in a small world

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                Author and article information

                Journal
                New Rev Hypermedia Multimed
                New Rev Hypermedia Multimed
                THAM
                tham20
                The New Review of Hypermedia and Multimedia
                Taylor & Francis
                1361-4568
                1740-7842
                2 January 2017
                12 May 2016
                : 23
                : 1
                : 29-50
                Affiliations
                [ a ]Knowledge Technologies Institute, Graz University of Technology , Graz, Austria
                [ b ]Information Sciences Institute, University of Southern California , Los Angeles, CA, USA
                [ c ]Department of Computer Science, University of Koblenz-Landau , Mainz, Germany
                [ d ]GESIS – Leibniz Institute for the Social Sciences , Cologne, Germany
                Author notes
                [CONTACT ] Daniel Lamprecht daniel.lamprecht@ 123456tugraz.at
                Author information
                http://orcid.org/0000-0001-7146-6340
                Article
                1179798
                10.1080/13614568.2016.1179798
                5468769
                eb88eb4e-7d32-4d3a-8fcf-c4ef096ed0be
                © 2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 13 October 2015
                : 14 April 2016
                Page count
                Figures: 5, Tables: 1, Equations: 18, References: 50, Pages: 22
                Funding
                Funded by: Austrian Science Fund (FWF)
                Award ID: P24866
                This research was supported in part by a grant from the Austrian Science Fund (FWF) [P24866].
                Categories
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                Articles

                wikipedia,navigation,article structure,generality
                wikipedia, navigation, article structure, generality

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