Zobrazeno 1 - 10
of 35
pro vyhledávání: '"M E J Newman"'
Autor:
M E J Newman, Carrie R Ferrario
Publikováno v:
PLoS ONE, Vol 8, Iss 8, p e71321 (2013)
The spread of certain diseases can be promoted, in some cases substantially, by prior infection with another disease. One example is that of HIV, whose immunosuppressant effects significantly increase the chances of infection with other pathogens. Su
Externí odkaz:
https://doaj.org/article/06a6df4911ff42fb9636e3ebe96a36d7
Autor:
Alec Kirkley, M. E. J. Newman
Publikováno v:
Communications Physics, Vol 5, Iss 1, Pp 1-10 (2022)
Community detection is a common task in the analysis of network data but most current community detection algorithms provide either only a single partition or a very large number of plausible ones, neither of which gives an interpretable summary of t
Externí odkaz:
https://doaj.org/article/0a4b67aab85342598907a056a5c441eb
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Networks describe the intricate patterns of interaction occurring within ecological systems, but they are unfortunately difficult to construct from data. Here, the authors show how Bayesian statistical techniques can separate structure from noise in
Externí odkaz:
https://doaj.org/article/f883208d0b7c4dfb9610aa73e3919b3e
Autor:
Elizabeth E. Bruch, M. E. J. Newman
Publikováno v:
Sociological Science, Vol 6, Iss 9, Pp 219-234 (2019)
We study the structure of heterosexual dating markets in the United States through an analysis of the interactions of several million users of a large online dating website, applying recently developed network analysis methods to the pattern of messa
Externí odkaz:
https://doaj.org/article/7271cc2e30cb41f39ace900f022400fd
Autor:
M. E. J. Newman, Aaron Clauset
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-11 (2016)
Analysis of network structure is usually based on knowledge of connections alone, ignoring additional information such as gender or age of individuals in social networks. Here the authors devise an approach that incorporates such metadata and uses it
Externí odkaz:
https://doaj.org/article/e28850858bfa4806b210f04da8a9a904
Autor:
M. E. J. Newman
Publikováno v:
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 479
Networks and network computations have become a primary mathematical tool for analyzing the structure of many kinds of complex systems, ranging from the Internet and transportation networks to biochemical interactions and social networks. A common ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a212e9f36b9d097be31619bb90ca9913
https://doi.org/10.1098/rspa.2022.0774
https://doi.org/10.1098/rspa.2022.0774
Autor:
M. E. J. Newman, R. G. Palmer
Developed after a meeting at the Santa Fe Institute on extinction modeling, this book comments critically on the various modeling approaches. In the last decade or so, scientists have started to examine a new approach to the patterns of evolution and
Autor:
M. E. J. Newman, G. T. Barkema
This book provides an introduction to Monte Carlo simulations in classical statistical physics and is aimed both at students beginning work in the field and at more experienced researchers who wish to learn more about Monte Carlo methods. The materia
Statistical methods for reconstructing networks from repeated measurements typically assume that all measurements are generated from the same underlying network structure. This need not be the case, however. People's social networks might be differen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a45a2b9e3dac0a074d13fb841736e3d
http://arxiv.org/abs/2107.07489
http://arxiv.org/abs/2107.07489
Autor:
Alec Kirkley, M. E. J. Newman
Methods for detecting community structure in networks typically aim to identify a single best partition of network nodes into communities, often by optimizing some objective function, but in real-world applications there may be many competitive parti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::655b18bf47a51b28507e390dcd70f3af
http://arxiv.org/abs/2105.04612
http://arxiv.org/abs/2105.04612