Results 11 to 20 of about 173,598 (208)

Risk assessment of communicable respiratory diseases transmission based on social contact networks: a primary school contact data survey conducted with portable high-precision devices [PDF]

BMC Public Health
Background During the 2020 COVID-19 pandemic, class suspension and school closures, as non-pharmacological interventions, effectively curbed on-campus communicable diseases transmission by minimizing contact.
Qiuying Lv, Rijing Luo, Xiaoheng Li, Simu Deng, Kang Liu, Lei Liu, Kemin Zhu, Ying Wen, Xingyu Ma, Rendeji Ci, Ling Yin, Zhen Zhang, Xuan Zou   +12 more
doaj   +2 more sources

Using network centrality measures to manage landscape connectivity [PDF]

, 2008
We use a graph-theoretical landscape modeling approach to investigate how to identify central patches in the landscape as well as how these central patches influence (1) organism movement within the local neighborhood, and (2) the dispersal of organisms ...
Bodin, Orjan, Estrada, Ernesto, Ramon y Cajal program Spain (Funder), Department for Reserch Cooperation, Swedish International Development Cooperation Agency (Funder), Swedish Reserach Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS) (Funder), Swedish Research Council (Funder)   +5 more
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Resistance distance, information centrality, node vulnerability and vibrations in complex networks [PDF]

, 2010
We discuss three seemingly unrelated quantities that have been introduced in different fields of science for complex networks. The three quantities are the resistance distance, the information centrality and the node displacement.
Estrada, Ernesto, Hatano, Naomichi, Ernesto Estrada, Naomichi Hatano   +3 more
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Street centrality and land use intensity in Baton Rouge, Louisiana [PDF]

, 2011
This paper examines the relationship between street centrality and land use intensity in Baton Rouge, Louisiana. Street centrality is calibrated in terms of a node's closeness, betweenness and straightness on the road network.
Antipova, Anzhelika, Porta, Sergio, Wang, Fahui   +2 more
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Dynamic network centrality summarizes learning in human brain [PDF]

, 2013
We study functional activity in the human brain using functional Magnetic Resonance Imaging and recently developed tools from network science. The data arise from the performance of a simple behavioural motor learning task.
Bassett, Danielle S., Mantzaris, A V, Grafton, Scott T., Higham, Desmond, Scott T. Grafton, Porter, M A, Porter, Mason A., Alexander V. Mantzaris, Peter J. Mucha, Wymbs, N F, Mucha, P J, Mason A. Porter, Mucha, Peter J., Grafton, S T, Estrada, E, Mantzaris, Alexander Vassilios, Wymbs, Nicholas F., Estrada, Ernesto, Danielle S. Bassett, Nicholas F. Wymbs, Bassett, D S, Desmond J. Higham, Ernesto Estrada   +22 more
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Efficient computation of the Shapley value for game-theoretic network centrality [PDF]

, 2013
The Shapley value—probably the most important normative payoff division scheme in coalitional games—has recently been advocated as a useful measure of centrality in net-works.
Michalak, T, Piotr L. Szczepański, Aaditha, K. V., Szczepanski, P. L., Balaraman Ravindran, Tomasz P. Michalak, Jennings, N. R., Aaditha, KV, Nicholas R. Jennings, Michalak, Tomasz, Karthik V. Aadithya, Ravindran, B, Jennings, NR, Szczepanski, PL   +13 more
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Node centrality based on its edges importance: The Position centrality [PDF]

, 2023
We propose a novel family of node centralities in social networks, named family of position centralities, which explicitly takes into account the importance of the links to assess the centrality of the nodes that support them through the Position value ...
Saboyá, Martha, Molina Ferragut, Elisenda, Tejada Cazorla, Juan Antonio, Lopez, Susana   +3 more
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Efficient Computation of the Shapley Value for Centrality in Networks

, 2010
The Shapley Value is arguably the most important normative solution concept in coalitional games. One of its applications is in the domain of networks, where the Shapley Value is used to measure the relative importance of individual nodes.
Michalak, Tomasz P, Michalak, Tomasz P., Ravindran, Balaraman, Aadithya, Karthik V., Nicholas R. Jennings, Jennings, Nicholas R., Jennings, Nicholas R, Aadithya, Karthik V, Karthik V. Aadithya, Balaraman Ravindran, Tomasz P. Michalak   +10 more
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Botnet detection using graph-based feature clustering

Journal of Big Data, 2017
Detecting botnets in a network is crucial because bots impact numerous areas such as cyber security, finance, health care, law enforcement, and more. Botnets are becoming more sophisticated and dangerous day-by-day, and most of the existing rule based ...
Sudipta Chowdhury, Mojtaba Khanzadeh, Ravi Akula, Fangyan Zhang, Song Zhang, Hugh Medal, Mohammad Marufuzzaman, Linkan Bian   +7 more
doaj   +1 more source

Efficient computation of Harmonic Centrality on large networks: theory and practice [PDF]

, 2022
Progettazione ed implementazione di algoritmi efficienti per il calcolo esatto ed approssimato della Harmonic Centrality su grandi ...
Angriman, Eugenio
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