Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Garetto, Michele"'
We consider a generalization of classic bootstrap percolation in which two competing processes concurrently evolve on the same graph $G(n,p)$. Nodes can be in one of three states, conveniently represented by different colors: red, black and white. In
Externí odkaz:
http://arxiv.org/abs/2405.00363
The increasing popularity of online social networks (OSNs) attracted growing interest in modeling social interactions. On online social platforms, a few individuals, commonly referred to as influencers, produce the majority of content consumed by use
Externí odkaz:
http://arxiv.org/abs/2301.01478
Restrictions on social and economic activities, as well as vaccinations, have been a key intervention in containing the COVID-19 epidemic. Our work focuses on better understanding the options available to policymakers under the conditions and uncerta
Externí odkaz:
http://arxiv.org/abs/2207.03280
Publikováno v:
ACM Transactions on Information Systems Volume 41 Issue 1 January 2023 Article No 25
We propose a simple model of an idealized online cultural market in which $N$ items, endowed with a hidden quality metric, are recommended to users by a ranking algorithm possibly biased by the current items' popularity. Our goal is to better underst
Externí odkaz:
http://arxiv.org/abs/2204.13536
We analyze the bootstrap percolation process on the stochastic block model (SBM), a natural extension of the Erd\H{o}s--R\'{e}nyi random graph that incorporates the community structure observed in many real systems. In the SBM, nodes are partitioned
Externí odkaz:
http://arxiv.org/abs/2201.13263
Similarity caching systems have recently attracted the attention of the scientific community, as they can be profitably used in many application contexts, like multimedia retrieval, advertising, object recognition, recommender systems and online cont
Externí odkaz:
http://arxiv.org/abs/2102.04974
We analyze a class of stochastic processes, referred to as asynchronous and semi-anonymous dynamics (ASD), over directed labeled random networks. These processes are a natural tool to describe general best-response and noisy best-response dynamics in
Externí odkaz:
http://arxiv.org/abs/2102.03840
Publikováno v:
Annual Reviews in Control, 2021
Motivated by the recent outbreak of coronavirus (COVID-19), we propose a stochastic model of epidemic temporal growth and mitigation based on a time-modulated Hawkes process. The model is sufficiently rich to incorporate specific characteristics of t
Externí odkaz:
http://arxiv.org/abs/2101.00405
This paper focuses on similarity caching systems, in which a user request for an {object~$o$} that is not in the cache can be (partially) satisfied by a similar stored {object~$o'$}, at the cost of a loss of user utility. Similarity caching systems c
Externí odkaz:
http://arxiv.org/abs/1912.03888
We analyze the bootstrap percolation process on the stochastic block model (SBM), a natural extension of the Erd\"{o}s--R\'{e}nyi random graph that allows representing the "community structure" observed in many real systems. In the SBM, nodes are par
Externí odkaz:
http://arxiv.org/abs/1812.09107