activity
20072023
most citedSmall-world behavior in time-varying graphs

307 citations · 1.8k across the 57 of their papers we have counts for

collaborators
Showing cs.SIShow all

10 papers · 1 filter

cs.SI2018★ 29 cited

Predicting the temporal activity patterns of new venues

Krittika D'Silva, Anastasios Noulas, Mirco Musolesi +2

Estimating revenue and business demand of a newly opened venue is paramount as these early stages often involve critical decisions such as first rounds of staffing and resource all…

cs.SI2017

Linking Twitter Events With Stock Market Jitters

Fani Tsapeli, Nikolaos Bezirgiannidis, Peter Tino +1

Predicting investors reactions to financial and political news is important for the early detection of stock market jitters. Evidence from several recent studies suggests that onli…

cs.SI2017★ 3 cited

A Comparison of Spatial-based Targeted Disease Containment Strategies using Mobile Phone Data

Stefania Rubrichi, Zbigniew Smoreda, Mirco Musolesi

Epidemic outbreaks are an important healthcare challenge, especially in developing countries where they represent one of the major causes of mortality. Approaches that can rapidly…

cs.SI2016

Who Benefits from the "Sharing" Economy of Airbnb?

Giovanni Quattrone, Davide Proserpio, Daniele Quercia +2

Sharing economy platforms have become extremely popular in the last few years, and they have changed the way in which we commute, travel, and borrow among many other activities. De…

cs.SI2015

A Multilayer Approach to Multiplexity and Link Prediction in Online Geo-Social Networks

Desislava Hristova, Anastasios Noulas, Chloë Brown +2

Online social systems are multiplex in nature as multiple links may exist between the same two users across different social networks. In this work, we introduce a framework for st…

cs.SI2015★ 5 cited

Progmosis: Evaluating Risky Individual Behavior During Epidemics Using Mobile Network Data

Antonio Lima, Veljko Pejovic, Luca Rossi +2

The possibility to analyze, quantify and forecast epidemic outbreaks is fundamental when devising effective disease containment strategies. Policy makers are faced with the intrica…

cs.SI2014

Coding Together at Scale: GitHub as a Collaborative Social Network

Antonio Lima, Luca Rossi, Mirco Musolesi

GitHub is the most popular repository for open source code. It has more than 3.5 million users, as the company declared in April 2013, and more than 10 million repositories, as of…

cs.SI2014

You are What you Eat (and Drink): Identifying Cultural Boundaries by Analyzing Food & Drink Habits in Foursquare

Thiago H Silva, Pedro O S Vaz de Melo, Jussara Almeida +2

Food and drink are two of the most basic needs of human beings. However, as society evolved, food and drink became also a strong cultural aspect, being able to describe strong diff…

cs.SI2014★ 24 cited

Keep Your Friends Close and Your Facebook Friends Closer: A Multiplex Network Approach to the Analysis of Offline and Online Social Ties

Desislava Hristova, Mirco Musolesi, Cecilia Mascolo

Social media allow for an unprecedented amount of interaction between people online. A fundamental aspect of human social behavior, however, is the tendency of people to associate…

cs.SI2013★ 29 cited

Exploiting Cellular Data for Disease Containment and Information Campaigns Strategies in Country-Wide Epidemics

Antonio Lima, Manlio De Domenico, Veljko Pejovic +1

Human mobility is one of the key factors at the basis of the spreading of diseases in a population. Containment strategies are usually devised on movement scenarios based on coarse…