DNR215
发表于 2025-3-23 10:03:45
https://doi.org/10.1007/978-1-4419-6287-4Mapping; Simulation; algorithms; calculus; data mining; information science; learning; machine learning; mod
aggressor
发表于 2025-3-23 17:14:16
978-1-4419-6286-7Springer Science+Business Media, LLC 2010
宽大
发表于 2025-3-23 20:58:07
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theta-waves
发表于 2025-3-24 01:16:04
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胶状
发表于 2025-3-24 04:40:03
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Enliven
发表于 2025-3-24 09:39:05
Christliche Sagen (Exempel und Legenden),s are labeled with the polarity of the attitudes among them (positive, negative, and neutral). Our algorithm accepts as its input two social networks extracted via unsupervised algorithms: (1) a small signed network labeled with attitude polarities (see Tanev, ., Borovets, Bulgaria. pp. 33–40, 2007)
FAR
发表于 2025-3-24 13:24:51
https://doi.org/10.1007/978-3-476-99405-9entification from large volumes of text, this research mined the social networks among the cabinets of Presidents Reagan, G.H.W. Bush, Clinton, and G.W. Bush based on the members’ co-occurrence in news stories. Each administration’s data was sliced into time intervals corresponding to the Gallup pre
北极熊
发表于 2025-3-24 15:05:54
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相同
发表于 2025-3-24 22:58:23
Soil Environment in Sago Palm Forestynamics and complexity. This study focuses on the US air transportation network, which is one of the most diverse and dynamic transportation networks in the world. All of the data are drawn from the US Bureau of Transportation Statistics (BTS). The topology features show that the network is a scale-
反感
发表于 2025-3-24 23:40:22
Life and Livelihood in Sago-Growing Areasworks are likely to attract more links and influence the use of knowledge by nodes connected directly or indirectly to them. In this study, we model knowledge flow within an innovative organization and contend that it exhibits unique characteristics not incorporated in most social network measures d