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19992026
most citedSparsistency and rates of convergence in large covariance matrix estimation

421 citations

Showing physics.soc-phShow all

17 papers · 1 filter

physics.soc-ph2023★ 1 cited

Understanding the householder solar panel consumer: A Markovian model and its societal implications

Marta Leocata, Giulia Livieri, Silvia Morlacchi +3

Household adoption of rooftop photovoltaic (PV) systems is central to the green energy transition, yet diffusion depends on social influence and behavioral biases, as well as payba…

physics.soc-ph2022

Structural properties in the diffusion of the solar photovoltaic in Italy: individual people/householder vs firms

Franco Flandoli, Fausto Corvino, Marta Leocata +3

This paper develops two mathematical models to understand subjects' behavior in response to the urgency of a change and inputs from governments e.g., (subsides) in the context of t…

physics.soc-ph2022★ 5 cited

Scaling Laws for Function Diversity and Specialization Across Socioeconomic and Biological Complex Systems

Vicky Chuqiao Yang, James Holehouse, Hyejin Youn +4

Function diversity, the range of tasks individuals perform, and specialization, the distribution of function abundances, are fundamental to complex adaptive systems. In the absence…

physics.soc-ph2021★ 283 cited

The Physics of Financial Networks

Marco Bardoscia, Paolo Barucca, Stefano Battiston +6

The field of Financial Networks is a paramount example of the novel applications of Statistical Physics that have made possible by the present data revolution. As the total value o…

physics.soc-ph2020★ 51 cited

Detecting anomalous citation groups in journal networks

Sadamori Kojaku, Giacomo Livan, Naoki Masuda

The ever-increasing competitiveness in the academic publishing market incentivizes journal editors to pursue higher impact factors. This translates into journals becoming more sele…

physics.soc-ph2020★ 8 cited

Upstreamness and downstreamness in input-output analysis from local and aggregate information

Silvia Bartolucci, Fabio Caccioli, Francesco Caravelli +1

Ranking sectors and countries within global value chains is of paramount importance to estimate risks and forecast growth in large economies. However, this task is often non-trivia…

physics.soc-ph2020★ 31 cited

Ranking influential nodes in networks from partial information

Silvia Bartolucci, Fabio Caccioli, Francesco Caravelli +1

Many complex systems exhibit a natural hierarchy in which elements can be ranked according to a notion of "influence". While the complete and accurate knowledge of the interactions…

physics.soc-ph2020★ 5 cited

A Two-Phase Dynamic Contagion Model for COVID-19

Zezhun Chen, Angelos Dassios, Valerie Kuan +4

In this paper, we propose a continuous-time stochastic intensity model, namely, two-phase dynamic contagion process(2P-DCP), for modelling the epidemic contagion of COVID-19 and in…

physics.soc-ph2020★ 36 cited

A network perspective on intermedia agenda-setting

Samuel Stern, Giacomo Livan, Robert E. Smith

In Communication Theory, intermedia agenda-setting refers to the influence that different news sources may have on each other, and how this subsequently affects the breadth of info…

physics.soc-ph2019★ 15 cited

Don't follow the leader: How ranking performance reduces meritocracy

Giacomo Livan

In the name of meritocracy, modern economies devote increasing amounts of resources to quantifying and ranking the performance of individuals and organisations. Rankings send out p…

physics.soc-ph2019★ 258 cited

Achieving competitive advantage in academia through early career coauthorship with top scientists

Weihua Li, Tomaso Aste, Fabio Caccioli +1

We quantify the long term impact that the coauthorship with established top-cited scientists has on the career of junior researchers in four different scientific disciplines. Throu…

physics.soc-ph2018★ 3 cited

Infectivity Enhances Prediction of Viral Cascades in Twitter

Weihua Li, Skyler J. Cranmer, Zhiming Zheng +1

Models of contagion dynamics, originally developed for infectious diseases, have proven relevant to the study of information, news, and political opinions in online social systems.…

physics.soc-ph2018★ 60 cited

A parametric approach to information filtering in complex networks: The Pólya filter

Riccardo Marcaccioli, Giacomo Livan

The ever increasing availability of data demands for techniques to extract relevant information from complex interacting systems, which can often be represented as weighted network…

physics.soc-ph2017★ 22 cited

Spatio-Temporal Patterns of the International Merger and Acquisition Network

Marco Dueñas, Rossana Mastrandrea, Matteo Barigozzi +1

This paper analyses the world web of mergers and acquisitions (M&As) using a complex network approach. We use data of M&As to build a temporal sequence of binary and weighted-direc…

physics.soc-ph2016★ 17 cited

Excess reciprocity distorts reputation in online social networks

Giacomo Livan, Fabio Caccioli, Tomaso Aste

The peer-to-peer (P2P) economy relies on establishing trust in distributed networked systems, where the reliability of a user is assessed through digital peer-review processes that…

physics.soc-ph2011★ 6 cited

Virtual communities? the middle east revolutions at the Guardian forum: Comment Is Free

Bernard Kujawski, Peter Abell

We investigate the possibility of virtual community formation in an online social network under a rapid increase of activity of members and newcomers. The evolution is studied of t…

physics.soc-ph2010★ 213 cited

Identifying the Community Structure of the International-Trade Multi Network

Matteo Barigozzi, Giorgio Fagiolo, Giuseppe Mangioni

We study the community structure of the multi-network of commodity-specific trade relations among world countries over the 1992-2003 period. We compare structures across commoditie…