Difference between revisions of "What Makes a Link Successful on Wikipedia"

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== Overview ==
 
== Overview ==
 
While a plethora of hypertext links exist on the Web, only a small amount of them are regularly clicked. Starting from this observation, authors set out to study large-scale click data from [[Wikipedia]] in order to understand what makes a link successful. Authors systematically analyze effects of link properties on the popularity of links. By utilizing mixed-effects hurdle models supplemented with descriptive insights, authors find evidence of user preference towards links leading to the periphery of the network, towards links leading to semantically similar articles, and towards links in the top and left-side of the screen. Authors integrate these findings as Bayesian priors into a navigational Markov chain model and by doing so successfully improve the model fits. Authors further adapt and improve the well-known classic PageRank algorithm that assumes random navigation by accounting for observed navigational preferences of users in a weighted variation. This work facilitates understanding navigational click behavior and thus can contribute to improving link structures and algorithms utilizing these structures.
 
While a plethora of hypertext links exist on the Web, only a small amount of them are regularly clicked. Starting from this observation, authors set out to study large-scale click data from [[Wikipedia]] in order to understand what makes a link successful. Authors systematically analyze effects of link properties on the popularity of links. By utilizing mixed-effects hurdle models supplemented with descriptive insights, authors find evidence of user preference towards links leading to the periphery of the network, towards links leading to semantically similar articles, and towards links in the top and left-side of the screen. Authors integrate these findings as Bayesian priors into a navigational Markov chain model and by doing so successfully improve the model fits. Authors further adapt and improve the well-known classic PageRank algorithm that assumes random navigation by accounting for observed navigational preferences of users in a weighted variation. This work facilitates understanding navigational click behavior and thus can contribute to improving link structures and algorithms utilizing these structures.
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== Embed ==
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=== Wikipedia Quality ===
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Dimitrov, Dimitar; Singer, Philipp; Lemmerich, Florian; Strohmaier, Markus. (2017). "[[What Makes a Link Successful on Wikipedia]]". International World Wide Web Conferences Steering Committee. DOI: 10.1145/3038912.3052613.
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=== English Wikipedia ===
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{{cite journal |last1=Dimitrov |first1=Dimitar |last2=Singer |first2=Philipp |last3=Lemmerich |first3=Florian |last4=Strohmaier |first4=Markus |title=What Makes a Link Successful on Wikipedia |date=2017 |doi=10.1145/3038912.3052613 |url=https://wikipediaquality.com/wiki/What_Makes_a_Link_Successful_on_Wikipedia |journal=International World Wide Web Conferences Steering Committee}}
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Dimitrov, Dimitar; Singer, Philipp; Lemmerich, Florian; Strohmaier, Markus. (2017). &amp;quot;<a href="https://wikipediaquality.com/wiki/What_Makes_a_Link_Successful_on_Wikipedia">What Makes a Link Successful on Wikipedia</a>&amp;quot;. International World Wide Web Conferences Steering Committee. DOI: 10.1145/3038912.3052613.
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Latest revision as of 10:02, 12 August 2019


What Makes a Link Successful on Wikipedia
Authors
Dimitar Dimitrov
Philipp Singer
Florian Lemmerich
Markus Strohmaier
Publication date
2017
DOI
10.1145/3038912.3052613
Links
Original Preprint

What Makes a Link Successful on Wikipedia - scientific work related to Wikipedia quality published in 2017, written by Dimitar Dimitrov, Philipp Singer, Florian Lemmerich and Markus Strohmaier.

Overview

While a plethora of hypertext links exist on the Web, only a small amount of them are regularly clicked. Starting from this observation, authors set out to study large-scale click data from Wikipedia in order to understand what makes a link successful. Authors systematically analyze effects of link properties on the popularity of links. By utilizing mixed-effects hurdle models supplemented with descriptive insights, authors find evidence of user preference towards links leading to the periphery of the network, towards links leading to semantically similar articles, and towards links in the top and left-side of the screen. Authors integrate these findings as Bayesian priors into a navigational Markov chain model and by doing so successfully improve the model fits. Authors further adapt and improve the well-known classic PageRank algorithm that assumes random navigation by accounting for observed navigational preferences of users in a weighted variation. This work facilitates understanding navigational click behavior and thus can contribute to improving link structures and algorithms utilizing these structures.

Embed

Wikipedia Quality

Dimitrov, Dimitar; Singer, Philipp; Lemmerich, Florian; Strohmaier, Markus. (2017). "[[What Makes a Link Successful on Wikipedia]]". International World Wide Web Conferences Steering Committee. DOI: 10.1145/3038912.3052613.

English Wikipedia

{{cite journal |last1=Dimitrov |first1=Dimitar |last2=Singer |first2=Philipp |last3=Lemmerich |first3=Florian |last4=Strohmaier |first4=Markus |title=What Makes a Link Successful on Wikipedia |date=2017 |doi=10.1145/3038912.3052613 |url=https://wikipediaquality.com/wiki/What_Makes_a_Link_Successful_on_Wikipedia |journal=International World Wide Web Conferences Steering Committee}}

HTML

Dimitrov, Dimitar; Singer, Philipp; Lemmerich, Florian; Strohmaier, Markus. (2017). &quot;<a href="https://wikipediaquality.com/wiki/What_Makes_a_Link_Successful_on_Wikipedia">What Makes a Link Successful on Wikipedia</a>&quot;. International World Wide Web Conferences Steering Committee. DOI: 10.1145/3038912.3052613.