Formal concept analysis of social networks
- 其他作者：
- 其他題名：
- Lecture notes in social networks.
- 出版： Cham : Springer International Publishing :Imprint: Springer
- 叢書名： Lecture notes in social networks,
- 主題： Online social networks. , Formal methods (Computer science) , Computer Science. , Data Mining and Knowledge Discovery. , Artificial Intelligence (incl. Robotics) , Database Management. , Applications of Graph Theory and Complex Networks. , Methodology of the Social Sciences.
- ISBN： 9783319641676 (electronic bk.) 、 9783319641669 (paper)
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FIND@SFXID:
CGU
- 資料類型: 電子書
- 內容註: Knowledge Communities and Socio-Cognitive Taxonomies -- Individuality in Social Networks -- Descriptive Community Detection -- Multimodal Clustering for Community Detection -- Acquisition of Terminological Knowledge from Social Networks in the Description Logic MH -- Formal Concept Analysis of Attributed Networks -- A Formal Concept Analysis look at the Analysis of Affiliation Networks.
- 摘要註: The book studies the existing and potential connections between Social Network Analysis (SNA) and Formal Concept Analysis (FCA) by showing how standard SNA techniques, usually based on graph theory, can be supplemented by FCA methods, which rely on lattice theory. The book presents contributions to the following areas: acquisition of terminological knowledge from social networks, knowledge communities, individuality computation, other types of FCA-based analysis of bipartite graphs (two-mode networks), multimodal clustering, community detection and description in one-mode and multi-mode networks, adaptation of the dual-projection approach to weighted bipartite graphs, extensions to the Kleinberg's HITS algorithm as well as attributed graph analysis.
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讀者標籤：
- 系統號： 005411953 | 機讀編目格式
館藏資訊
The book studies the existing and potential connections between Social Network Analysis (SNA) and Formal Concept Analysis (FCA) by showing how standard SNA techniques, usually based on graph theory, can be supplemented by FCA methods, which rely on lattice theory. The book presents contributions to the following areas: acquisition of terminological knowledge from social networks, knowledge communities, individuality computation, other types of FCA-based analysis of bipartite graphs (two-mode networks), multimodal clustering, community detection and description in one-mode and multi-mode networks, adaptation of the dual-projection approach to weighted bipartite graphs, extensions to the Kleinberg's HITS algorithm as well as attributed graph analysis.