We study a group-formation game on an undirected complete graph G with all edge-weights in a set W ⊆ R ∪ {−∞}. This work is motivated by a recent information-sharing model for social networks (Kleinberg and Ligett, GEB, 2013). Specifically, we consider partitions of the vertex-set of G into groups. The individual utility of any vertex v is the...
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2022 (v1)Journal articleUploaded on: December 3, 2022
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June 14, 2016 (v1)Conference paper
Online news domains increasingly rely on social media to drive traffic to their websites. Yet we know surprisingly little about how a social media conversation mentioning an online article actually generates clicks. Sharing behaviors, in contrast, have been fully or partially available and scrutinized over the years. While this has led to...
Uploaded on: March 25, 2023 -
June 15, 2015 (v1)Publication
Big Data promises important societal progress but exacerbates the need for due process and accountability. Companies and institutions can now discriminate between users at an individual level using collected data or past behavior. Worse, today they can do so in near perfect opacity. The nascent field of web transparency aims to develop the...
Uploaded on: March 25, 2023 -
June 2, 2015 (v1)Conference paper
De plus en plus les géants du Web (Amazon, Google et Twitter en tête) recourent a la manne des « Big data » : ils collectent une myriade de données qu'ils exploitent pour leurs algorithmes de recommandation personnalisée et leurs campagnes publicitaires. Pareilles méthodes peuvent considérablement améliorer les services rendus a leurs...
Uploaded on: March 25, 2023 -
2019 (v1)Journal article
We consider a community formation problem in social networks, where the users are either friends or enemies. The users are partitioned into conflict-free groups (i.e., independent sets in the conflict graph $G^- =(V,E)$ that represents the enmities between users). The dynamics goes on as long as there exists any set of at most k users, k being...
Uploaded on: February 22, 2023 -
2018 (v1)Conference paper
We consider a community formation problem in social networks, where the users are either friends or enemies. The users are partitioned into conflict-free groups (i.e., independent sets in the conflict graph $G^- =(V,E)$ that represents the enmities between users). The dynamics goes on as long as there exists any set of at most k users, k...
Uploaded on: December 4, 2022 -
October 1, 2021 (v1)Publication
Evaluating population-scale exposure to the radio frequencies~(RF) used in wireless telecommunication technologies is important for conducting sound epidemiological studies on the health impacts of these RF.Numerous studies have reported population exposure, but have used very small population samples. In this context, the real exposure of the...
Uploaded on: December 4, 2022 -
March 24, 2022 (v1)Journal article
Evaluating exposure to radio frequencies (RF) at population-scale is important for conducting sound epidemiological studies about possible health impact of RF radiations. Numerous studies reported population exposure to RF radiations used in wireless telecommunication technologies, but used very small population samples. In this context, the...
Uploaded on: December 3, 2022 -
August 20, 2014 (v1)Conference paper
Today's Web services - such as Google, Amazon, and Facebook - leverage user data for varied purposes, including personalizing recommendations, targeting advertisements, and adjusting prices. At present, users have little insight into how their data is being used. Hence, they cannot make informed choices about the services they choose. To...
Uploaded on: March 25, 2023