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Hits 1 – 11 of 11

1
Social Network Analysis At Scale: Graph-based Analysis of Twitter Trends and Communities
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2
Provider-Network-Statistical-Measures (2019-01-05) ...
Parsons, Inc. - : IMPACT, 2019
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3
Multimode and Multilevel: Vertical Dimension in Historical and Literary Networks
In: Digital Humanities 2017 ; https://halshs.archives-ouvertes.fr/halshs-01525539 ; Digital Humanities 2017, Aug 2017, Montreal, Canada (2017)
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4
A social network analysis of Twitter: Mapping the digital humanities community
In: ISSN: 2331-1983 ; Cogent Arts & Humanities ; https://hal.archives-ouvertes.fr/hal-01517493 ; Cogent Arts & Humanities, Taylor & Francis, 2016, pp.1171458. ⟨10.1080/23311983.2016.1171458⟩ ; http://www.tandfonline.com/doi/full/10.1080/23311983.2016.1171458 (2016)
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5
Characterisation of the idiotypic immune network through persistent entropy
In: Springer Proceedings in Complexity ; European Conference on Complex Systems (ECCS14) ; https://hal.archives-ouvertes.fr/hal-01260143 ; European Conference on Complex Systems (ECCS14), Sep 2014, Lucca, Italy. pp.117-128, ⟨10.1007/978-3-319-29228-1_11⟩ (2014)
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6
Visualization of Decision Processes Using a Cognitive Architecture
In: DTIC (2013)
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7
On conditional random fields: applications, feature selection, parameter estimation and hierarchical modelling
Tran, The Truyen. - : Curtin University, 2008
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8
A graph model for words and their meanings ... : Ein Graphenmodell für Wörter und deren Bedeutungen ...
Dorow, Beate. - : Universität Stuttgart, 2006
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9
A graph model for words and their meanings ; Ein Graphenmodell für Wörter und deren Bedeutungen
Dorow, Beate. - 2006
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10
Discovering Important Nodes through Graph Entropy: The Case of Enron Email Database
In: http://data.isi.edu/conferences/linkkdd-05/Download/Papers/linkkdd05-11.pdf (2005)
Abstract: A major problem in social network analysis and link discovery is the discovery of hidden organizational structure and selection of interesting influential members based on low-level, incomplete and noisy evidence data. To address such a challenge, we exploit an information theoretic model that combines information theory with statistical techniques from area of text mining and natural language processing. The Entropy model identifies the most interesting and important nodes in a graph. We show how entropy models on graphs are relevant to study of information flow in an organization. We review the results of two different experiments which are based on entropy models. The first version of this model has been successfully tested and evaluated on the Enron email dataset.
Keyword: Categories and Subject Descriptors H.4 [Link Discovery; D.2.8 [Graph Theory; Data Mining; Link Discovery; Miscellaneous; Social Network Analysis; Social Networks General Terms Graph theory Keywords Entropy
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.92.2782
http://data.isi.edu/conferences/linkkdd-05/Download/Papers/linkkdd05-11.pdf
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11
6th German Workshop on Artificial Intelligence : Bad Honnef, Sept. 27 - Oct.1, 1982
Novak, Hans-Joachim (Mitarb.); Schwind, Camilla B. (Mitarb.); Vollmann, F. (Mitarb.). - Berlin [u.a.] : Springer, 1982
BLLDB
UB Frankfurt Linguistik
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