Title: | Clustering and blockmodeling temporal networks - two indirect approaches |
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Authors: | ID Batagelj, Vladimir (Author) |
Files: | PDF - Presentation file, download (461,70 KB) MD5: 85248B36A6E2EF24013176A4A420BBE3
URL - Source URL, visit https://link.springer.com/chapter/10.1007/978-3-031-09034-9_8
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Language: | English |
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Typology: | 1.08 - Published Scientific Conference Contribution |
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Organization: | IMFM - Institute of Mathematics, Physics, and Mechanics
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Abstract: | Two approaches to clustering and blockmodeling of temporal networks are presented: the first is based on an adaptation of the clustering of symbolic data described by modal values and the second is based on clustering with relational constraints. Different options for describing a temporal block model are discussed. |
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Keywords: | social networks, network analysis, blockmodeling, symbolic data analysis, clustering with relational constraints |
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Publication status: | Published |
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Publication version: | Version of Record |
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Year of publishing: | 2023 |
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Number of pages: | Str. 63-71 |
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PID: | 20.500.12556/DiRROS-18628 |
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UDC: | 303 |
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DOI: | 10.1007/978-3-031-09034-9_8 |
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COBISS.SI-ID: | 191666179 |
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Publication date in DiRROS: | 08.04.2024 |
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Views: | 475 |
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Downloads: | 245 |
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