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Federico Battiston
Queen Mary University of London
Machine learningPhysicsMultiplexMathematicsComplex network
26Publications
10H-index
495Citations
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Publications 32
Newest
#1Giulia Cencetti (fondazione bruno kessler)
#1Giulia CencettiH-Index: 2
Last. Duccio Fanelli (UniFI: University of Florence)H-Index: 19
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Abstract A class of systems is considered, where immobile species associated to distinct patches, the nodes of a network, interact both locally and at a long-range, as specified by an (interaction) adjacency matrix. Non local interactions are treated in a mean-field setting which enables the system to reach a homogeneous consensus state, either constant or time dependent. We provide analytical evidence that such homogeneous solution can turn unstable under externally imposed disturbances, follow...
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#1Gerardo Iñiguez (CEU: Central European University)H-Index: 9
#2Federico BattistonH-Index: 10
Last. Márton KarsaiH-Index: 19
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Network science has become a powerful tool to describe the structure and dynamics of real-world complex physical, biological, social, and technological systems. Largely built on empirical observations to tackle heterogeneous, temporal, and adaptive patterns of interactions, its intuitive and flexible nature has contributed to the popularity of the field. With pioneering work on the evolution of random graphs, graph theory is often cited as the mathematical foundation of network science. Despite ...
The emergence of synchronization in systems of coupled agents is a pivotal phenomenon in physics, biology, computer science, and neuroscience. Traditionally, interaction systems have been described as networks, where links encode information only on the pairwise influences among the nodes. Yet, in many systems, interactions among the units often take places in larger groups. Recent work has shown that the presence of higher-order interactions between oscillators can significantly affect the emer...
#1Andrea Bamberg Migliano (UCL: University College London)H-Index: 19
#2Federico Battiston (CEU: Central European University)H-Index: 10
Last. Lucio Vinicius (UCL: University College London)H-Index: 13
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#1Milan Janosov (CEU: Central European University)H-Index: 1
#2Federico Musciotto (CEU: Central European University)H-Index: 3
Last. Gerardo Iñiguez (UNAM: National Autonomous University of Mexico)H-Index: 9
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While the emergence of success in creative professions, such as music, has been studied extensively, the link between individual success and collaboration is not yet fully uncovered. Here we aim to fill this gap by analyzing longitudinal data on the co-releasing and mentoring patterns of popular electronic music artists appearing in the annual Top 100 ranking of DJ Magazine. We find that while this ranking list of popularity publishes 100 names, only the top 20 is stable over time, showcasing a ...
1 CitationsSource
#1Timoteo CarlettiH-Index: 15
#2Federico BattistonH-Index: 10
Last. Duccio FanelliH-Index: 19
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In the last twenty years network science has proven its strength in modelling many real-world interacting systems as generic agents, the nodes, connected by pairwise edges. Yet, in many relevant cases, interactions are not pairwise but involve larger sets of nodes, at a time. These systems are thus better described in the framework of hypergraphs, hyperedges being able to effectively account for multi-body interactions. We hereby propose a new class of random walks defined on such higher-order s...
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We live and cooperate in networks. However, links in networks only allow for pairwise interactions, thus making the framework suitable for dyadic games, but not for games that are played in groups of more than two players. To remedy this, we introduce higher-order interactions, where a link can connect more than two individuals, and study their evolutionary dynamics. We first consider a public goods game on a uniform hypergraph, showing that it corresponds to the replicator dynamics in the well-...
1 Citations
#1Milan JanosovH-Index: 1
#2Federico BattistonH-Index: 10
Last. Roberta Sinatra (ITU: IT University of Copenhagen)
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Luck is considered to be a crucial ingredient to achieve impact in all creative domains, despite their diversity. For instance, in science, the movie industry, music, and art, the occurrence of the highest impact work and of a hot streak within a creative career are very difficult to predict. Are there domains that are more prone to luck than others? Here, we provide new insights on the role of randomness in impact in creative careers in two ways: (i) we systematically untangle luck and individu...
#1Milan JanosovH-Index: 1
#2Federico MusciottoH-Index: 3
Last. Gerardo Iñiguez (CEU: Central European University)H-Index: 9
view all 4 authors...
Music has been one of the strongest forms of cultural expression and identity for thousands of years and has evolved into a strongly collaborative artistic domain. While the emergence of success in music has been studied at large, the link between individual success and collaboration has not yet been fully uncovered. Here we aim to fill this gap by analyzing longitudinal data on the co-releasing and mentoring patterns of tens of thousands of electronic music artists, the most popular of them app...
1 Citations
#1Luis NateraH-Index: 1
#2Federico BattistonH-Index: 10
Last. Michael Szell (ITU: IT University of Copenhagen)H-Index: 1
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Urban transportation networks, from sidewalks and bicycle paths to streets and rail lines, provide the backbone for movement and socioeconomic life in cities. These networks can be understood as layers of a larger multiplex transport network. Because most cities are car-centric, the most developed layer is typically the street layer, while other layers can be highly disconnected. To make urban transport sustainable, cities are increasingly investing to develop their bicycle networks. However, gi...
1 Citations
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