Results for "Micro Musolesi"

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Understanding The Impact of Partner Choice on Cooperation and Social Norms by means of Multi-agent Reinforcement LearningFeb 08 2019The human ability to coordinate and cooperate has been vital to the development of societies for thousands of years. While it is not fully clear how this behavior arises, social norms are thought to be a key factor in this development. In contrast to ... More
Tracing Networks of Knowledge in the Digital AgeMar 04 2017Aug 07 2019The emergence of new digital technologies has allowed the study of human behaviour at a scale and at level of granularity that were unthinkable just a decade ago. In particular, by analysing the digital traces left by people interacting in the online ... More
Sensing and Modeling Human Behavior Using Social Media and Mobile DataFeb 03 2017Feb 08 2017In the past years we have witnessed the emergence of the new discipline of computational social science, which promotes a new data-driven and computation-based approach to social sciences. In this article we discuss how the availability of new technologies ... More
Interpretable Machine Learning for Privacy-Preserving Pervasive SystemsOct 23 2017Jun 13 2018The presence of pervasive systems in our everyday lives and the interaction of users with connected devices such as smartphones or home appliances generate increasing amounts of traces that reflect users' behavior. A plethora of machine learning techniques ... More
Intelligent Notification Systems: A Survey of the State of the Art and Research ChallengesNov 28 2017Jan 02 2018Notifications provide a unique mechanism for increasing the effectiveness of real-time information delivery systems. However, notifications that demand users' attention at inopportune moments are more likely to have adverse effects and might become a ... More
Investigating Causality in Human Behavior from Smartphone Sensor Data: A Quasi-Experimental ApproachMay 11 2015Smartphones have become an indispensable part of our daily life. Their improved sensing and computing capabilities bring new opportunities for human behavior monitoring and analysis. Most work so far has been focused on detecting correlation rather than ... More
Anticipatory Mobile Computing: A Survey of the State of the Art and Research ChallengesJun 10 2013Jan 02 2015Today's mobile phones are far from mere communication devices they were ten years ago. Equipped with sophisticated sensors and advanced computing hardware, phones can be used to infer users' location, activity, social setting and more. As devices become ... More
Learning through Probing: a decentralized reinforcement learning architecture for social dilemmasSep 26 2018Dec 22 2018Multi-agent reinforcement learning has received significant interest in recent years notably due to the advancements made in deep reinforcement learning which have allowed for the developments of new architectures and learning algorithms. Using social ... More
Interpretable Machine Learning for Privacy-Preserving Pervasive SystemsOct 23 2017Jun 04 2019Our everyday interactions with pervasive systems generate traces that capture various aspects of human behavior and enable machine learning algorithms to extract latent information about users. In this paper, we propose a machine learning interpretability ... More
Spatio-temporal networks: reachability, centrality and robustnessJun 01 2015Jul 04 2016Recent advances in spatial and temporal networks have enabled researchers to more-accurately describe many real-world systems such as urban transport networks. In this paper, we study the response of real-world spatio-temporal networks to random error ... More
A Comparison of Spatial-based Targeted Disease Containment Strategies using Mobile Phone DataJun 02 2017Jul 03 2018Epidemic outbreaks are an important healthcare challenge, especially in developing countries where they represent one of the major causes of mortality. Approaches that can rapidly target subpopulations for surveillance and control are critical for enhancing ... More
Model-free Causality Detection: An Application to Social Media and Financial DataJan 14 2016Nov 21 2016According to behavioral finance, stock market returns are influenced by emotional, social and psychological factors. Several recent works support this theory by providing evidence of correlation between stock market prices and collective sentiment indexes ... More
Spatio-Temporal Techniques for User Identification by means of GPS Mobility DataJan 27 2015Jul 17 2015One of the greatest concerns related to the popularity of GPS-enabled devices and applications is the increasing availability of the personal location information generated by them and shared with application and service providers. Moreover, people tend ... More
Coding Together at Scale: GitHub as a Collaborative Social NetworkJul 09 2014GitHub 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 December 2013. It has a publicly accessible API and, since March 2012, ... More
Anticipatory Mobile Digital Health: Towards Personalised Proactive Therapies and Prevention StrategiesAug 15 2015The last two centuries saw groundbreaking advances in the field of healthcare: from the invention of the vaccine to organ transplant, and eradication of numerous deadly diseases. Yet, these breakthroughs have only illuminated the role that individual ... More
Keep Your Friends Close and Your Facebook Friends Closer: A Multiplex Network Approach to the Analysis of Offline and Online Social TiesMar 31 2014Social 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 themselves with like-minded individuals, forming homogeneous social circles ... More
Model-free Causality Detection: An Application to Social Media and Financial DataJan 14 2016According to behavioral finance, stock market returns are influenced by emotional, social and psychological factors. Several recent works support this theory by providing evidence of correlation between stock market prices and collective sentiment indexes ... More
Probabilistic Matching: Causal Inference under Measurement ErrorsMar 13 2017The abundance of data produced daily from large variety of sources has boosted the need of novel approaches on causal inference analysis from observational data. Observational data often contain noisy or missing entries. Moreover, causal inference studies ... More
Interdependence and Predictability of Human Mobility and Social InteractionsOct 08 2012Jul 16 2013Previous studies have shown that human movement is predictable to a certain extent at different geographic scales. Existing prediction techniques exploit only the past history of the person taken into consideration as input of the predictors. In this ... More
Non-Parametric Causality Detection: An Application to Social Media and Financial DataJan 14 2016Jun 11 2017According to behavioral finance, stock market returns are influenced by emotional, social and psychological factors. Several recent works support this theory by providing evidence of correlation between stock market prices and collective sentiment indexes ... More
Understanding The Impact of Partner Choice on Cooperation and Social Norms by means of Multi-agent Reinforcement LearningFeb 08 2019Feb 13 2019The human ability to coordinate and cooperate has been vital to the development of societies for thousands of years. While it is not fully clear how this behavior arises, social norms are thought to be a key factor in this development. In contrast to ... More
You are your Metadata: Identification and Obfuscation of Social Media Users using Metadata InformationMar 27 2018May 14 2018Metadata are associated to most of the information we produce in our daily interactions and communication in the digital world. Yet, surprisingly, metadata are often still catergorized as non-sensitive. Indeed, in the past, researchers and practitioners ... More
On the k-Anonymization of Time-varying and Multi-layer Social GraphsMar 22 2015The popularity of online social media platforms provides an unprecedented opportunity to study real-world complex networks of interactions. However, releasing this data to researchers and the public comes at the cost of potentially exposing private and ... More
A Multilayer Approach to Multiplexity and Link Prediction in Online Geo-Social NetworksAug 31 2015Online 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 studying links and interactions between users beyond the individual social ... More
Quantifying Networked Resilience via Multi-Scale Feedback Loops in Water Distribution NetworksApr 05 2019Water distribution networks (WDNs) are one of the most important man-made infrastructures. Resilience, the ability to respond to disturbances and recover to a desirable state, is of vital importance to our society. There is increasing evidence that the ... More
Epcast: Controlled Dissemination in Human-based Wireless Networks by means of Epidemic Spreading ModelsNov 18 2007Epidemics-inspired techniques have received huge attention in recent years from the distributed systems and networking communities. These algorithms and protocols rely on probabilistic message replication and redundancy to ensure reliable communication. ... More
Quantifying Networked Resilience via Multi-Scale Feedback Loops in Water Distribution NetworksApr 05 2019May 16 2019Water distribution networks (WDNs) are one of the most important man-made infrastructures. Resilience, the ability to respond to disturbances and recover to a desirable state, is of vital importance to our society. There is increasing evidence that the ... More
Progmosis: Evaluating Risky Individual Behavior During Epidemics Using Mobile Network DataApr 06 2015The possibility to analyze, quantify and forecast epidemic outbreaks is fundamental when devising effective disease containment strategies. Policy makers are faced with the intricate task of drafting realistically implementable policies that strike a ... More
Tracing Networks of Knowledge in the Digital AgeMar 04 2017The emergence of new digital technologies has allowed the study of human behaviour at a scale and at level of granularity that were unthinkable just a decade ago. In particular, by analysing the digital traces left by people interacting in the online ... More
The Anatomy of a Scientific RumorJan 14 2013Jul 16 2013The announcement of the discovery of a Higgs boson-like particle at CERN will be remembered as one of the milestones of the scientific endeavor of the 21st century. In this paper we present a study of information spreading processes on Twitter before, ... More
Exploiting Cellular Data for Disease Containment and Information Campaigns Strategies in Country-Wide EpidemicsJun 19 2013Human 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-grained assumptions. Mobility phone data provide a unique opportunity ... More
Exploiting Temporal Complex Network Metrics in Mobile Malware ContainmentDec 03 2010May 10 2011Malicious mobile phone worms spread between devices via short-range Bluetooth contacts, similar to the propagation of human and other biological viruses. Recent work has employed models from epidemiology and complex networks to analyse the spread of malware ... More
Explaining the Power-law Distribution of Human Mobility Through Transportation Modality DecompositionAug 21 2014Feb 02 2015Human mobility has been empirically observed to exhibit Levy flight characteristics and behaviour with power-law distributed jump size. The fundamental mechanisms behind this behaviour has not yet been fully explained. In this paper, we analyze urban ... More
Towards Deep Learning Models for Psychological State Prediction using Smartphone Data: Challenges and OpportunitiesNov 16 2017There is an increasing interest in exploiting mobile sensing technologies and machine learning techniques for mental health monitoring and intervention. Researchers have effectively used contextual information, such as mobility, communication and mobile ... More
Linking Twitter Events With Stock Market JittersJun 19 2017Predicting investors reactions to financial and political news is important for the early detection of stock market jitters. Evidence from several recent studies suggests that online social media could improve prediction of stock market movements. However, ... More
Small-world behavior in time-varying graphsSep 09 2009May 18 2010Connections in complex networks are inherently fluctuating over time and exhibit more dimensionality than analysis based on standard static graph measures can capture. Here, we introduce the concepts of temporal paths and distance in time-varying graphs. ... More
Who Benefits from the "Sharing" Economy of Airbnb?Feb 06 2016Sharing 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. Despite their popularity among consumers, such companies are poorly regulated. ... More
Privacy and the City: User Identification and Location Semantics in Location-Based Social NetworksMar 22 2015With the advent of GPS enabled smartphones, an increasing number of users is actively sharing their location through a variety of applications and services. Along with the continuing growth of Location-Based Social Networks (LBSNs), security experts have ... More
Mobile-Based Experience Sampling for Behaviour ResearchAug 15 2015The Experience Sampling Method (ESM) introduces in-situ sampling of human behaviour, and provides researchers and behavioural therapists with ecologically valid and timely assessments of a person's psychological state. This, in turn, opens up new opportunities ... More
Anonymous or not? Understanding the Factors Affecting Personal Mobile Data DisclosureJan 28 2017The wide adoption of mobile devices and social media platforms have dramatically increased the collection and sharing of personal information. More and more frequently, users are called to take decisions concerning the disclosure of their personal information. ... More
Predicting the temporal activity patterns of new venuesJun 05 2018Estimating 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 allocation. Traditionally, this estimation has been performed through coarse-grained ... More
You are What you Eat (and Drink): Identifying Cultural Boundaries by Analyzing Food & Drink Habits in FoursquareApr 03 2014Food 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 differences among people. Traditional methods used to analyze cross-cultural ... More
Graph Metrics for Temporal NetworksJun 03 2013Temporal networks, i.e., networks in which the interactions among a set of elementary units change over time, can be modelled in terms of time-varying graphs, which are time-ordered sequences of graphs over a set of nodes. In such graphs, the concepts ... More
Applications of Temporal Graph Metrics to Real-World NetworksMay 29 2013Real world networks exhibit rich temporal information: friends are added and removed over time in online social networks; the seasons dictate the predator-prey relationship in food webs; and the propagation of a virus depends on the network of human contacts ... More
Components in time-varying graphsJun 10 2011Apr 16 2012Real complex systems are inherently time-varying. Thanks to new communication systems and novel technologies, it is today possible to produce and analyze social and biological networks with detailed information on the time of occurrence and duration of ... More
Kissing Cuisines: Exploring Worldwide Culinary Habits on the WebOct 26 2016As food becomes an important part of modern life, recipes shared on the web are a great indicator of civilizations and culinary attitudes in different countries. Similarly, ingredients, flavors, and nutrition information are strong signals of the taste ... More
Kissing Cuisines: Exploring Worldwide Culinary Habits on the WebOct 26 2016Apr 25 2017Food and nutrition occupy an increasingly prevalent space on the web, and dishes and recipes shared online provide an invaluable mirror into culinary cultures and attitudes around the world. More specifically, ingredients, flavors, and nutrition information ... More
A sub-Saturn Mass Planet, MOA-2009-BLG-319LbOct 09 2010Dec 10 2010We report the gravitational microlensing discovery of a sub-Saturn mass planet, MOA-2009-BLG-319Lb, orbiting a K or M-dwarf star in the inner Galactic disk or Galactic bulge. The high cadence observations of the MOA-II survey discovered this microlensing ... More