disparage
发表于 2025-3-25 04:59:43
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commensurate
发表于 2025-3-25 08:52:53
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Femine
发表于 2025-3-25 15:35:06
ndancy in ego networks, while the latter is used to calculate the important degree of all the nodes. For the whole network, if a node is on many geodesic paths, it plays an important intermediate role, usually measured by betweenness. Measured with centrality, one node enjoys the maximum proximity c
Excise
发表于 2025-3-25 19:00:09
Peter A. Wuffliogies from reductionism, and thus can not tackle with the highly non-linear systematic problems, such as the evolutionary mechanism and path of global economic system. With the properties of structural complexity, dynamic evolution and multiple linkages, complex networks can better reflect the inter
declamation
发表于 2025-3-25 21:07:09
Peter A. Wufflindancy in ego networks, while the latter is used to calculate the important degree of all the nodes. For the whole network, if a node is on many geodesic paths, it plays an important intermediate role, usually measured by betweenness. Measured with centrality, one node enjoys the maximum proximity c
闪光东本
发表于 2025-3-26 00:52:12
Peter A. Wuffli In a lot of studies, Structural Holes Theory spans the fields of sociology, economics, and computer science. Burt introduced this concept in an attempt to explain the origin of differences in social capital, and found that positional advantage or disadvantage of individuals results from how they ar
使尴尬
发表于 2025-3-26 08:17:41
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Charade
发表于 2025-3-26 10:53:36
Peter A. Wuffli In a lot of studies, Structural Holes Theory spans the fields of sociology, economics, and computer science. Burt introduced this concept in an attempt to explain the origin of differences in social capital, and found that positional advantage or disadvantage of individuals results from how they ar
等待
发表于 2025-3-26 12:51:49
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不合
发表于 2025-3-26 18:37:03
music genres provide interesting descriptors, since they have been used for years to organize music collections and can summarize common patterns in music pieces. In this paper we extend a previous work by considering digraphs and a second-order Markov chain to model rhythmic patterns. Second-order