Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Chowdhary, Sandeep"'
Teams are the fundamental units propelling innovation and advancing modern science. A rich literature links the fundamental features of teams, such as their size and diversity, to academic success. However, such analyses fail to capture temporal patt
Externí odkaz:
http://arxiv.org/abs/2407.09326
Publikováno v:
R. Soc. Open Sci. 11: 240809 (2024)
Advancements in technology have recently allowed us to collect and analyse large-scale fine-grained data about human performance, drastically changing the way we approach sports. Here, we provide the first comprehensive analysis of individual and tea
Externí odkaz:
http://arxiv.org/abs/2401.15161
From sports to science, the recent availability of large-scale data has allowed to gain insights on the drivers of human innovation and success in a variety of domains. Here we quantify human performance in the popular game of chess by leveraging a v
Externí odkaz:
http://arxiv.org/abs/2207.07780
Autor:
Chowdhary, Sandeep, Andres, Elsa, Manna, Adriana, Blagojević, Luka, Di Gaetano, Leonardo, Iñiguez, Gerardo
Publikováno v:
EPJ Data Science 12, 7 (2023)
Human communication, the essence of collective social phenomena ranging from small-scale organizations to worldwide online platforms, features intense reciprocal interactions between members in order to achieve stability, cohesion, and cooperation in
Externí odkaz:
http://arxiv.org/abs/2207.03910
Publikováno v:
Phys. Rev. E 104, 054308 (2021)
Sender-receiver games are simple models of information transmission that provide a formalism to study the evolution of honest signaling and deception between a sender and a receiver. In many practical scenarios, lies often affect groups of receivers,
Externí odkaz:
http://arxiv.org/abs/2111.12804
From sport and science production to everyday life, higher-level pursuits demand collaboration. Despite an increase in the number of data-driven studies on human behavior, the social dynamics of collaborative problem solving are still largely unexplo
Externí odkaz:
http://arxiv.org/abs/2109.15146
Autor:
Chowdhary, Sandeep, Kumar, Aanjaneya, Cencetti, Giulia, Iacopini, Iacopo, Battiston, Federico
Publikováno v:
J. Phys. Complex. 2 035019 (2021)
Complex networks represent the natural backbone to study epidemic processes in populations of interacting individuals. Such a modeling framework, however, is naturally limited to pairwise interactions, making it less suitable to properly describe soc
Externí odkaz:
http://arxiv.org/abs/2105.04455
Autor:
Chowdhary, Sandeep1 (AUTHOR), Iacopini, Iacopo1 (AUTHOR), Battiston, Federico1 (AUTHOR) battistonf@ceu.edu
Publikováno v:
Scientific Reports. 3/23/2023, Vol. 13 Issue 1, p1-8. 8p.
Autor:
Tiwari, Ajoy, Kumar, Dinesh, Ansari, Mohammad S., Chaubey, Santosh Kumar, Gupta, Nitin R., Agarwal, Vivek, Chandra, Kumar Prafull, Pande, Arunkumar r, Awasthi, Rajiv, Gupta, Mukulesh, Chowdhary, Sandeep
Publikováno v:
In Clinical Epidemiology and Global Health April-June 2021 10
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