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pro vyhledávání: '"Vendeville, Antoine"'
Autor:
Di Bona, Gabriele, Fraxanet, Emma, Komander, Björn, Sasso, Andrea Lo, Morini, Virginia, Vendeville, Antoine, Falkenberg, Max, Galeazzi, Alessandro
Following recent policy changes by X (Twitter) and other social media platforms, user interaction data has become increasingly difficult to access. These restrictions are impeding robust research pertaining to social and political phenomena online, w
Externí odkaz:
http://arxiv.org/abs/2406.19867
Echo chamber effects in social networks are generally attributed to the prevalence of interactions among like-minded peers. However, recent evidence has emphasized the role of hostile interactions between opposite-minded groups. Here, we model inform
Externí odkaz:
http://arxiv.org/abs/2406.17435
Online social platforms have become central in the political debate. In this context, the existence of echo chambers is a problem of primary relevance. These clusters of like-minded individuals tend to reinforce prior beliefs, elicit animosity toward
Externí odkaz:
http://arxiv.org/abs/2206.03859
Publikováno v:
Phys. Rev. E, 109(2), 024312 (2024)
Online social networks have become primary means of communication. As they often exhibit undesirable effects such as hostility, polarisation or echo chambers, it is crucial to develop analytical tools that help us better understand them. In this pape
Externí odkaz:
http://arxiv.org/abs/2203.02002
Publikováno v:
IEEE/ACM Transactions on Networking 2021
We introduce an original mathematical model to analyse the diffusion of posts within a generic online social platform. The main novelty is that each user is not simply considered as a node on the social graph, but is further equipped with his/her own
Externí odkaz:
http://arxiv.org/abs/2107.01914
Publikováno v:
Applied Network Science 6, 1 (2021)
In this paper we propose a novel method to forecast the result of elections using only official results of previous ones. It is based on the voter model with stubborn nodes and uses theoretical results developed in a previous work of ours. We look at
Externí odkaz:
http://arxiv.org/abs/2009.10627
Publikováno v:
Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021
We explore a method to influence or even control the diversity of opinions within a polarised social group. We leverage the voter model in which users hold binary opinions and repeatedly update their beliefs based on others they connect with. Stubbor
Externí odkaz:
http://arxiv.org/abs/2006.07265
Publikováno v:
INFOCOM 2019, Paris, France
We introduce an original mathematical model to analyze the diffusion of posts within a generic online social platform. Each user of such a platform has his own Wall and Newsfeed, as well as his own self-posting and re-posting activity. As a main resu
Externí odkaz:
http://arxiv.org/abs/1902.07187
Akademický článek
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Publikováno v:
Conference on Complex Systems 2022
Conference on Complex Systems 2022, Oct 2022, Palma de Mallorca, Spain
Conference on Complex Systems 2022, Oct 2022, Palma de Mallorca, Spain
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::39e8cfbc21549c0e18879a6795065e27
https://hal.science/hal-04010520/file/abs-ccs2022.pdf
https://hal.science/hal-04010520/file/abs-ccs2022.pdf