4.4.8. Postmodernism in Russia
In: Comparative History of Literatures in European Languages; International Postmodernism, S. 451-451
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In: Comparative History of Literatures in European Languages; International Postmodernism, S. 451-451
In: Index on censorship, Band 21, Heft 5, S. 26-27
ISSN: 1746-6067
In: The journal of Slavic military studies, Band 18, Heft 2, S. 207-226
ISSN: 1351-8046
In: Japan and Russia, S. 91-111
In: Sibirica: journal of Siberian studies ; the journal of Russia in Asia and the North Pacific, Band 5, Heft 1
ISSN: 1476-6787
In: The journal of Slavic military studies, Band 18, Heft 2, S. 207-226
ISSN: 1556-3006
In: Lecture Notes in Social Networks Ser
Intro -- Foreword -- Preface -- Introduction -- Contents -- Contributors -- Knowledge Communities and Socio-Cognitive Taxonomies -- 1 Introduction -- 2 Communities in Interaction Networks -- 2.1 Explicit vs. Procedural Methods -- 2.2 Structural Properties of Groups -- 3 Reuniting Structure and Content -- 3.1 Affiliation Networks, Social Circles, and FCA -- 3.2 Formal Concepts as Epistemic Communities -- 4 Applications -- 4.1 Datasets -- 4.2 Socio-Cognitive Taxonomies -- 5 Concluding Remarks -- References -- Individuality in Social Networks -- 1 Introduction -- 2 Related Work -- 3 Social Networks as Formal Contexts -- 4 Individuality of Social Networks -- 5 Experimental Results -- 5.1 Data and Modeling -- 5.1.1 Club Membership Network (CM) konect:2016:brunsonclub-membership -- 5.1.2 Facebook-Like Forum Network (FB) opsahl2009clustering -- 5.1.3 Lange Nacht der Musik (LNM) Schaller2014a -- 5.1.4 Norwegian Board Members (NB) norwegianBoarddataset -- 5.1.5 Southern Women (SW) wasserman1994 -- 5.2 Small World Network Properties -- 5.2.1 Average Shortest Path -- 5.2.2 Average Local Clustering Coefficient -- 5.2.3 Summary -- 5.3 Group Individuality -- 5.4 Individuality Distribution -- 5.5 Average Millieu Size -- 5.6 Discussion and Interpretation -- 6 Conclusions and Outlook -- References -- Descriptive Community Detection -- 1 Introduction -- 2 Subgroup Discovery -- 2.1 Patterns and Subgroups -- 2.2 Interestingness of a Pattern -- 2.3 Community Detection -- 2.3.1 Basics of Community Detection -- 2.3.2 Detecting Overlapping Communities -- 2.4 Exceptional Model Mining -- 3 Community Detection and Description -- 4 Community Detection Using Exceptional Model Mining -- 4.1 COMODO: Description-Oriented Community Detection -- 4.1.1 Algorithmic Overview -- 4.1.2 Illustrative Evaluation Results
In: Lecture Notes in Social Networks
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.
In: The journal of Slavic military studies, Band 32, Heft 1, S. 93-115
ISSN: 1556-3006