Using hybrid methods and 'core documents' for the representation of clusters and topics: The astronomy dataset

Proceedings of ISSI 2015 Istanbul: 15th International Society of Scientometrics and Informetrics Conference

Volumn , Issue , 2015, Pages 1085-1090

  Glänzel, Wolfgang ^a,b   Thijs, Bart ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b INSTITUTE OF EXPERIMENTAL MEDICINE   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

ASTROPHYSICS; INFORMATION SCIENCE;

BIBLIOGRAPHIC COUPLINGS; COMPARATIVE ANALYSIS OF ALGORITHMS; COMPLETE NETWORKS; HIERARCHICAL STRUCTURES; HYBRID CLUSTERING; INTERNAL STRUCTURE; INTERNATIONAL PROJECTS; TEXTUAL SIMILARITIES;

CLUSTER ANALYSIS;

EID: 84991051899     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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2. Blondel, V. D., Guillaume, J. L., Lambiotte, R. & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, P10008.
3. Boyack, K. W. & Klavans, R. (2010). Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately? Journal of the American Society for Information Science and Technology, 61(12), 2389-2404.
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5. Glänzel, W. & Thijs, B. (2011), Using core documents' for the representation of clusters and topics. Scientometrics, 88(1), 297-309.
6. Glänzel, W. & Thijs, B. (2012), Using 'core documents' for detecting and labelling new emerging topics. Scientometrics, 91(2), 399-416.
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8. Thijs, B., Schiebel, E. & Glänzel, W. (2013), Do second-order similarities provide added-value in a hybrid approach? Scientometrics, 96(3), 667-677.