Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Maciej Kurant"'
Autor:
Ömer Nebil Yavero?lu, Sean M. Fitzhugh, Maciej Kurant, Athina Markopoulou, Carter T. Butts, Nataa Prulj
Publikováno v:
Journal of Statistical Software, Vol 65, Iss 1, Pp 1-29 (2015)
Exponential-family random graph models are probabilistic network models that are parametrized by sufficient statistics based on structural (i.e., graph-theoretic) properties. The ergm package for the R statistical computing environment is a collectio
Externí odkaz:
https://doaj.org/article/573f0af0015a4391b904e8008dcd46cc
Autor:
Xavier Gigandet, Patric Hagmann, Maciej Kurant, Leila Cammoun, Reto Meuli, Jean-Philippe Thiran
Publikováno v:
PLoS ONE, Vol 3, Iss 12, p e4006 (2008)
BackgroundSince the emergence of diffusion tensor imaging, a lot of work has been done to better understand the properties of diffusion MRI tractography. However, the validation of the reconstructed fiber connections remains problematic in many respe
Externí odkaz:
https://doaj.org/article/e0da5d571386407dac0ba1c2a760f30d
Autor:
Patric Hagmann, Maciej Kurant, Xavier Gigandet, Patrick Thiran, Van J Wedeen, Reto Meuli, Jean-Philippe Thiran
Publikováno v:
PLoS ONE, Vol 2, Iss 7, p e597 (2007)
Understanding the large-scale structural network formed by neurons is a major challenge in system neuroscience. A detailed connectivity map covering the entire brain would therefore be of great value. Based on diffusion MRI, we propose an efficient m
Externí odkaz:
https://doaj.org/article/209b3ca6988b4314a603b51c78b32915
Autor:
Jerzy Konorski, Maciej Kurant
Publikováno v:
Journal of Telecommunications and Information Technology, Iss 2 (2004)
Contention-based MAC protocols for wireless ad hoc LANs rely on random deferment of packet transmissions to avoid collisions. By selfishly modifying the probabilities of deferments greedy stations can grab more bandwidth than regular stations that ap
Externí odkaz:
https://doaj.org/article/71d82a50444e4b36ac30ba3600b84693
Autor:
Sadiq Muhammad, Armin Tavakoli, Maciej Kurant, Marcin Pawłowski, Marek Żukowski, Mohamed Bourennane
Publikováno v:
Physical Review X, Vol 4, Iss 2, p 021047 (2014)
Quantum methods allow us to reduce communication complexity of some computational tasks, with several separated partners, beyond classical constraints. Nevertheless, experimental demonstrations of this have thus far been limited to some abstract prob
Externí odkaz:
https://doaj.org/article/2a6deb917260479b9232e2e1b1d14821
Publikováno v:
IEEE Transactions on Mobile Computing. 15:895-908
Due to copyright restrictions, the access to the full text of this article is only available via subscription. Online social networks (OSNs) serve today as a platform for information dissemination. At the same time, mobile devices provide ubiquitous
Publikováno v:
Ad Hoc Networks. 25:346-358
Opportunistic networking enables many appealing applications including local social-networking, communication in emergency situations, and circumventing censorship. The increasing penetration of smartphones should, in theory, foster opportunistic net
Publikováno v:
Computer Communications. 41:31-42
In case of a network outage or strict censorship, opportunistic networking is an appealing solution to uphold communications. News such as tweets or videos can be disseminated widely in an epidemic and delay-tolerant fashion between mobile phones. Ye
Autor:
Maciej Kurant, Ömer Nebil Yaveroğlu, Athina Markopoulou, Nataša Pržulj, Sean M. Fitzhugh, Carter T. Butts
Publikováno v:
Yaveroğlu, ÖN; Fitzhugh, SM; Kurant, M; Markopoulou, A; Butts, CT; & Pržulj, N. (2015). Ergm.graphlets: A Package for ERG Modeling Based on Graphlet Statistics. Journal of Statistical Software, 65(12), 1-29. doi: 10.18637/jss.v065.i12. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/4036f43h
Journal of Statistical Software, Vol 65, Iss 1, Pp 1-29 (2015)
Journal of Statistical Software, vol 65, iss 12
Journal of Statistical Software; Vol 65 (2015); 1-29
Scopus-Elsevier
Journal of Statistical Software, Vol 65, Iss 1, Pp 1-29 (2015)
Journal of Statistical Software, vol 65, iss 12
Journal of Statistical Software; Vol 65 (2015); 1-29
Scopus-Elsevier
Exponential-family random graph models (ERGMs) are probabilistic network models that are parametrized by sufficient statistics based on structural (i.e., graph-theoretic) properties. The ergm package for the R statistical computing system is a collec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4e2db3aa8b7dfe75c0d0b472b9dc47b
http://arxiv.org/abs/1405.7348
http://arxiv.org/abs/1405.7348
Publikováno v:
INFOCOM
Understanding network structure and having access to realistic graphs plays a central role in computer and social networks research. In this paper, we propose a complete, and practical methodology for generating graphs that resemble a real graph of i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::077c602dd3635195a6d3b5d6252cf699
http://arxiv.org/abs/1208.3667
http://arxiv.org/abs/1208.3667