Zobrazeno 1 - 10
of 616
pro vyhledávání: '"Mucha‡, Peter"'
Influence propagation in social networks is a central problem in modern social network analysis, with important societal applications in politics and advertising. A large body of work has focused on cascading models, viral marketing, and finite-horiz
Externí odkaz:
http://arxiv.org/abs/2407.00213
Real-world network datasets are typically obtained in ways that fail to capture all edges. The patterns of missing data are often non-uniform as they reflect biases and other shortcomings of different data collection methods. Nevertheless, uniform mi
Externí odkaz:
http://arxiv.org/abs/2401.15140
Many empirical networks originate from correlational data, arising in domains as diverse as psychology, neuroscience, genomics, microbiology, finance, and climate science. Specialized algorithms and theory have been developed in different application
Externí odkaz:
http://arxiv.org/abs/2311.09536
We provide a rearrangement based algorithm for fast detection of subgraphs of $k$ vertices with long escape times for directed or undirected networks. Complementing other notions of densest subgraphs and graph cuts, our method is based on the mean hi
Externí odkaz:
http://arxiv.org/abs/2212.12839
Despite the numerous ways now available to quantify which parts or subsystems of a network are most important, there remains a lack of centrality measures that are related to the complexity of information flows and are derived directly from entropy m
Externí odkaz:
http://arxiv.org/abs/2210.15148
Publikováno v:
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
Network classification aims to group networks (or graphs) into distinct categories based on their structure. We study the connection between classification of a network and of its constituent nodes, and whether nodes from networks in different groups
Externí odkaz:
http://arxiv.org/abs/2208.02162
Populations of oscillators are present throughout nature. Very often synchronization is observed in such populations if they are allowed to interact. A paradigmatic model for the study of such phenomena has been the Kuramoto model. However, consideri
Externí odkaz:
http://arxiv.org/abs/2206.02851
In composite materials composed of soft polymer matrix and stiff, high-aspect-ratio particles, the composite undergoes a transition in mechanical strength when the inclusion phase surpasses a critical density. This phenomenon (rheological or mechanic
Externí odkaz:
http://arxiv.org/abs/2103.12612
To design control strategies that predictably manipulate a system's behavior, it is first necessary to understand how the system's structure relates to its response. Many complex systems can be represented as multilayer networks whose response and co
Externí odkaz:
http://arxiv.org/abs/2103.08757
Autor:
Stanford, William1 (AUTHOR), Mucha, Peter J.2 (AUTHOR), Dayan, Eran3 (AUTHOR) eran_dayan@med.unc.edu
Publikováno v:
Communications Biology. 6/7/2024, Vol. 7 Issue 1, p1-13. 13p.
