Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Laniado, David"'
We present an interactive Web platform that, given a directed graph, allows identifying the most relevant nodes related to a given query node. Besides well-established algorithms such as PageRank and Personalized PageRank, the demo includes Cyclerank
Externí odkaz:
http://arxiv.org/abs/2405.02261
Autor:
Borra, Erik, Kaltenbrunner, Andreas, Mauri, Michele, Weltevrede, Esther, Laniado, David, Rogers, Richard, Ciuccarelli, Paolo, Magni, Giovanni, Venturini, Tommaso
Publikováno v:
the 33rd Annual ACM Conference, Apr 2015, Seoul, France. pp.193-196
Collaborative content creation inevitably reaches situations where different points of view lead to conflict. We focus on Wikipedia, the free encyclopedia anyone may edit, where disputes about content in controversial articles often reflect larger so
Externí odkaz:
http://arxiv.org/abs/1904.08721
Wikipedia articles contain multiple links connecting a subject to other pages of the encyclopedia. In Wikipedia parlance, these links are called internal links or wikilinks. We present a complete dataset of the network of internal Wikipedia links for
Externí odkaz:
http://arxiv.org/abs/1902.04298
Autor:
Miquel-Ribé, Marc, Laniado, David
In this paper we present the Wikipedia Cultural Diversity dataset. For each existing Wikipedia language edition, the dataset contains a classification of the articles that represent its associated cultural context, i.e. all concepts and entities rela
Externí odkaz:
http://arxiv.org/abs/1901.07999
Publikováno v:
Proceedings: Mathematical, Physical and Engineering Sciences, 2020 Sep 01. 476(2241), 1-25.
Externí odkaz:
https://www.jstor.org/stable/27097271
Barcelona en Com\'u, an emerging grassroots movement-party, won the 2015 Barcelona City Council election. This candidacy was devised by activists involved in the 15M movement in order to turn citizen outrage into political change. On the one hand, th
Externí odkaz:
http://arxiv.org/abs/1507.08599
Autor:
Eom, Young-Ho, Aragón, Pablo, Laniado, David, Kaltenbrunner, Andreas, Vigna, Sebastiano, Shepelyansky, Dima L.
Publikováno v:
PLoS ONE 10(3): e0114825 (2015)
Wikipedia is a huge global repository of human knowledge, that can be leveraged to investigate interwinements between cultures. With this aim, we apply methods of Markov chains and Google matrix, for the analysis of the hyperlink networks of 24 Wikip
Externí odkaz:
http://arxiv.org/abs/1405.7183
This work analyses the practice of sister city pairing. We investigate structural properties of the resulting city and country networks and present rankings of the most central nodes in these networks. We identify different country clusters and find
Externí odkaz:
http://arxiv.org/abs/1301.6900
We introduce a model for predicting page-view dynamics of promoted content. The regularity of the content promotion process on Wikipedia provides excellent experimental conditions which favour detailed modelling. We show that the popularity of an art
Externí odkaz:
http://arxiv.org/abs/1212.5943
Publikováno v:
In Online Social Networks and Media September 2019 13