95 citations · 503 across the 26 of their papers we have counts for
27 papers
Ranking football teams via the higher-order decomposition of performance networks
A. Chacoma, J. I. Perotti, O. V. Billoni
We propose a unified methodological framework to quantify team performance in elite football by combining event-level performance metrics, higher-order network representations, and…
Extended Yard Sale model of wealth distribution on Erdős-Rényi random networks
Nicolás Vazquez Von Bibow, Juan I. Perotti
Excessive wealth concentration can undermine economic and social development. Random Asset Exchange (RAE) models provide valuable tools to investigate this phenomenon. Assuming tha…
Analysis of the inference of ratings and rankings in complex networks using discrete exterior calculus on higher--order networks
Juan Ignacio Perotti
The inference of rankings plays a central role in the theory of social choice, which seeks to establish preferences from collectively generated data, such as pairwise comparisons.…
Explosive dismantling of two-dimensional random lattices under betweenness centrality attacks
Nahuel Almeira, Juan Ignacio Perotti, Andres Chacoma +1
In the present paper, we study the robustness of two-dimensional random lattices (Delaunay triangulations) under attacks based on betweenness centrality. Together with the standard…
Stochastic model for football's collective dynamics
A. Chacoma, N. Almeira, J. I. Perotti +1
In this paper, we study collective interaction dynamics emerging in the game of football-soccer. To do so, we surveyed a database containing body-sensors traces measured during thr…
Modeling ball possession dynamics in the game of football
A. Chacoma, N. Almeira, J. I. Perotti +1
In this paper, we study interaction dynamics in the game of football-soccer in the context of ball possession intervals. To do so, we analyze a database comprising one season of th…
Towards a generalization of information theory for hierarchical partitions
Juan I. Perotti, Nahuel Almeira, Fabio Saracco
Complex systems often exhibit multiple levels of organization covering a wide range of physical scales, so the study of the hierarchical decomposition of their structure and functi…
A model for phonetic changes driven by social interactions
A. Chacoma, N. Almeira, J. I. Perotti +1
We propose a stochastic model to study phonetic changes as an evolutionary process driven by social interactions between two groups of individuals with different phonological syste…
Scaling of percolation transitions on Erdös-Rényi networks under centrality-based attacks
Nahuel Almeira, Orlando Vito Billoni, Juan Ignacio Perotti
The study of network robustness focuses on the way the overall functionality of a network is affected as some of its constituent parts fail. Failures can occur at random or be part…
Universal and non-universal neural dynamics on small world connectomes: a finite size scaling analysis
Mahdi Zarepour, Juan I. Perotti, Orlando V. Billoni +2
Evidence of critical dynamics has been recently found in both experiments and models of large scale brain dynamics. The understanding of the nature and features of such critical re…
On the emergence of Zipf's law in music
Juan Ignacio Perotti, Orlando Vito Billoni
Zipf's law is found when the vocabulary of long written texts is ranked according to the frequency of word occurrences, establishing a power-law decay for the frequency vs rank rel…
Thermodynamics of the Minimum Description Length on Community Detection
Juan Ignacio Perotti, Claudio Juan Tessone, Aaron Clauset +1
Modern statistical modeling is an important complement to the more traditional approach of physics where Complex Systems are studied by means of extremely simple idealized models.…
A short-ranged memory model with preferential growth
Ana L. Schaigorodsky, Juan I. Perotti, Nahuel Almeira +1
In this work we introduce a variant of the Yule-Simon model for preferential growth by incorporating a finite kernel to model the effects of bounded memory. We characterize the pro…
Hierarchical benchmark graphs for testing community detection algorithms
Zhao Yang, Juan I. Perotti, Claudio J. Tessone
Hierarchical organization is an important, prevalent characteristic of complex systems; in order to understand their organization, the study of the underlying (generally complex) n…
Structure constrained by metadata in networks of chess players
Nahuel Almeira, Ana Laura Schaigorodsky, Juan Ignacio Perotti +1
Chess is an emblematic sport that stands out because of its age, popularity and complexity. It has served to study human behavior from the perspective of a wide number of disciplin…
Distress propagation in complex networks: the case of non-linear DebtRank
Marco Bardoscia, Fabio Caccioli, Juan Ignacio Perotti +2
We consider a dynamical model of distress propagation on complex networks, which we apply to the study of financial contagion in networks of banks connected to each other by direct…
Hierarchical mutual information for the comparison of hierarchical community structures in complex networks
Juan Ignacio Perotti, Claudio Juan Tessone, Guido Caldarelli
The quest for a quantitative characterization of community and modular structure of complex networks produced a variety of methods and algorithms to classify different networks. Ho…
Correlated bursts and the role of memory range
Hang-Hyun Jo, Juan I. Perotti, Kimmo Kaski +1
Inhomogeneous temporal processes in natural and social phenomena have been described by bursts that are rapidly occurring events within short time periods alternating with long per…
A study of memory effects in a chess database
Ana L. Schaigorodsky, Juan I. Perotti, Orlando V. Billoni
A series of recent works studying a database of chronologically sorted chess games --containing 1.4 million games played by humans between 1998 and 2007-- have shown that the popul…
Temporal network sparsity and the slowing down of spreading
Juan Ignacio Perotti, Hang-Hyun Jo, Petter Holme +1
Interactions in time-varying complex systems are often very heterogeneous at the topological level (who interacts with whom) and at the temporal level (when interactions occur and…
Analytically Solvable Model of Spreading Dynamics with Non-Poissonian Processes
Hang-Hyun Jo, Juan I. Perotti, Kimmo Kaski +1
Non-Poissonian bursty processes are ubiquitous in natural and social phenomena, yet little is known about their effects on the large-scale spreading dynamics. In order to character…
Innovation and Nested Preferential Growth in Chess Playing Behavior
Juan I. Perotti, Hang-Hyun Jo, Ana L. Schaigorodsky +1
Complexity develops via the incorporation of innovative properties. Chess is one of the most complex strategy games, where expert contenders exercise decision making by imitating o…
Memory and long-range correlations in chess games
Ana L. Schaigorodsky, Juan I. Perotti, Orlando V. Billoni
In this paper we report the existence of long-range memory in the opening moves of a chronologically ordered set of chess games using an extensive chess database. We used two mappi…
Contextual analysis framework for bursty dynamics
Hang-Hyun Jo, Raj Kumar Pan, Juan I. Perotti +1
To understand the origin of bursty dynamics in natural and social processes we provide a general analysis framework, in which the temporal process is decomposed into sub-processes…