426 citations · 1.9k across the 61 of their papers we have counts for
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Opinion formation in Wikipedia Ising networks
Leonardo Ermann, Klaus M. Frahm, Dima L. Shepelyansky
We study properties of opinion formation on Wikipedia Ising Networks. Each Wikipedia article is represented as a node and links are formed by citations of one article to another ge…
Confrontation of capitalism and socialism in Wikipedia networks
Leonardo Ermann, Dima L. Shepelyansky
We introduce the Ising Network Opinion Formation (INOF) model and apply it for the analysis of networks of 6 Wikipedia language editions. In the model, Ising spins are placed at ne…
Post-Brexit power of European Union from the world trade network analysis
Justin Loye, Katia Jaffrès-Runser, Dima Shepelyansky
We develop the Google matrix analysis of the multiproduct world trade network obtained from the UN COMTRADE database in recent years. The comparison is done between this new approa…
World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network
Justin Loye, Leonardo Ermann, Dima L. Shepelyansky
We use the United Nations COMTRADE database for analysis of the multiproduct world trade network. With this data, considered for years 2012-2018, we determined the world trade impa…
Linear response theory for Google matrix
Klaus M. Frahm, Dima L. Shepelyansky
We develop the linear response theory for the Google matrix PageRank algorithm with respect to a general weak perturbation and a numerical efficient and accurate algorithm, called…
World influence and interactions of universities from Wikipedia networks
Célestin Coquidé, José Lages, Dima L. Shepelyansky
We present Wikipedia Ranking of World Universities (WRWU) based on analysis of networks of 24 Wikipedia editions collected in May 2017. With PageRank and CheiRank algorithms we det…