Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Muchnik, Lev"'
Social animals, including humans, have a broad range of personality traits, which can be used to predict individual behavioral responses and decisions. Current methods to quantify individual personality traits in humans rely on self-report questionna
Externí odkaz:
http://arxiv.org/abs/2106.13672
Empirical studies show that epidemiological models based on an epidemic's initial spread rate often fail to predict the true scale of that epidemic. Most epidemics with a rapid early rise die out before affecting a significant fraction of the populat
Externí odkaz:
http://arxiv.org/abs/2008.00445
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena November 2022 164
Information spreading in online social communities has attracted tremendous attention due to its utmost practical values in applications. Despite that several individual-level diffusion data have been investigated, we still lack the detailed understa
Externí odkaz:
http://arxiv.org/abs/1504.00495
Publikováno v:
Scientific Reports, 4, 5547 (2014)
A number of predictors have been suggested to detect the most influential spreaders of information in online social media across various domains such as Twitter or Facebook. In particular, degree, PageRank, k-core and other centralities have been ado
Externí odkaz:
http://arxiv.org/abs/1405.1790
Autor:
Muchnik, Lev, Pei, Sen, Parra, Lucas C., Reis, Saulo D. S., Andrade, Jr., Jose S., Havlin, Shlomo, Makse, Hernan A.
Publikováno v:
Scientific Reports, 3, 1783 (2013)
The probability distribution of number of ties of an individual in a social network follows a scale-free power-law. However, how this distribution arises has not been conclusively demonstrated in direct analyses of people's actions in social networks
Externí odkaz:
http://arxiv.org/abs/1304.4523
The line graphs are clustered and assortative. They share these topological features with some social networks. We argue that this similarity reveals the cliquey character of the social networks. In the model proposed here, a social network is the li
Externí odkaz:
http://arxiv.org/abs/1010.2460
Autor:
Kitsak, Maksim, Gallos, Lazaros K., Havlin, Shlomo, Liljeros, Fredrik, Muchnik, Lev, Stanley, H. Eugene, Makse, Hernan A.
Publikováno v:
Nature Physics, 6, 888 (2010)
Networks portray a multitude of interactions through which people meet, ideas are spread, and infectious diseases propagate within a society. Identifying the most efficient "spreaders" in a network is an important step to optimize the use of availabl
Externí odkaz:
http://arxiv.org/abs/1001.5285
Simulations of artificial stock markets were considered as early as 1964 and multi-agent ones were introduced as early as 1989. Starting the early 90's, collaborations of economists and physicists produced increasingly realistic simulation platforms.
Externí odkaz:
http://arxiv.org/abs/cs/0509017
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2005 Jun . 102(26), 9424-9428.
Externí odkaz:
https://www.jstor.org/stable/3375911