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Titlebook: Challenges in Social Network Research; Methods and Applicat Giancarlo Ragozini,Maria Prosperina Vitale Book 2020 Springer Nature Switzerlan

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樓主: 板條箱
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發(fā)表于 2025-3-23 12:54:31 | 只看該作者
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發(fā)表于 2025-3-23 17:11:37 | 只看該作者
Multilayer Network Analysis of Innovation Intermediaries’ Activities intermediaries. However, limited empirical research exists regarding the activities and performance of intermediaries, with most contributions taking a qualitative approach and focusing on the role of intermediaries as brokers. In this paper, we analyse the extent to which innovation intermediaries
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發(fā)表于 2025-3-23 19:11:23 | 只看該作者
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發(fā)表于 2025-3-24 00:56:28 | 只看該作者
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發(fā)表于 2025-3-24 03:13:18 | 只看該作者
https://doi.org/10.1007/978-3-030-31463-7Social Network Analysis; Statistical Methods; Multilevel Networks; multilevel network analysis; informat
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發(fā)表于 2025-3-24 06:47:17 | 只看該作者
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發(fā)表于 2025-3-24 12:46:08 | 只看該作者
Solving the Unsolved and the Insolvable, they are not very useful for data analytic task to identify important elements (nodes or links) of a given network. The reason for this is that they attain their largest values on maximal subgraphs of relatively small size that are more probable to appear in a network than that of larger size. We s
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發(fā)表于 2025-3-24 17:30:12 | 只看該作者
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發(fā)表于 2025-3-24 20:43:33 | 只看該作者
Perovskite Oxide Anodes for SOFCs, we propose a novel methodology to derive networks and communities from socio-cultural data. Our methodology is based on socio-cultural cognitive mapping (SCM) and k-NN network modularity maximization (SCM + k-NN) that produces both a latent network and community assignments of entities based upon t
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發(fā)表于 2025-3-25 01:16:44 | 只看該作者
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