{"id":"https://openalex.org/W2091173929","doi":"https://doi.org/10.1109/isda.2011.6121635","title":"Towards the analysis of co-authorship networks by iterative spectral partitioning","display_name":"Towards the analysis of co-authorship networks by iterative spectral partitioning","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2091173929","doi":"https://doi.org/10.1109/isda.2011.6121635","mag":"2091173929"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2011.6121635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2011.6121635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 11th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011543714","display_name":"V\u00e1clav Sn\u00e5\u0161el","orcid":"https://orcid.org/0000-0002-9600-8319"},"institutions":[{"id":"https://openalex.org/I142208455","display_name":"VSB - Technical University of Ostrava","ror":"https://ror.org/05x8mcb75","country_code":"CZ","type":"education","lineage":["https://openalex.org/I142208455"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Vaclav Snasel","raw_affiliation_strings":["Department of Computer Science, FEECS, VSB Technical University of Ostrava, Ostrava, Czech Republic","Department of Computer Science, FEECS VSB-Technical University of Ostrava, Ostrava, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, FEECS, VSB Technical University of Ostrava, Ostrava, Czech Republic","institution_ids":["https://openalex.org/I142208455"]},{"raw_affiliation_string":"Department of Computer Science, FEECS VSB-Technical University of Ostrava, Ostrava, Czech Republic","institution_ids":["https://openalex.org/I142208455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088934266","display_name":"Pavel Kr\u00f6mer","orcid":"https://orcid.org/0000-0001-8428-3332"},"institutions":[{"id":"https://openalex.org/I142208455","display_name":"VSB - Technical University of Ostrava","ror":"https://ror.org/05x8mcb75","country_code":"CZ","type":"education","lineage":["https://openalex.org/I142208455"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Pavel Kromer","raw_affiliation_strings":["Department of Computer Science, FEECS, VSB Technical University of Ostrava, Ostrava, Czech Republic","Department of Computer Science, FEECS VSB-Technical University of Ostrava, Ostrava, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, FEECS, VSB Technical University of Ostrava, Ostrava, Czech Republic","institution_ids":["https://openalex.org/I142208455"]},{"raw_affiliation_string":"Department of Computer Science, FEECS VSB-Technical University of Ostrava, Ostrava, Czech Republic","institution_ids":["https://openalex.org/I142208455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038161265","display_name":"Jan Plato\u0161","orcid":"https://orcid.org/0000-0002-8481-0136"},"institutions":[{"id":"https://openalex.org/I142208455","display_name":"VSB - Technical University of Ostrava","ror":"https://ror.org/05x8mcb75","country_code":"CZ","type":"education","lineage":["https://openalex.org/I142208455"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Jan Platos","raw_affiliation_strings":["Department of Computer Science, FEECS, VSB Technical University of Ostrava, Ostrava, Czech Republic","Department of Computer Science, FEECS VSB-Technical University of Ostrava, Ostrava, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, FEECS, VSB Technical University of Ostrava, Ostrava, Czech Republic","institution_ids":["https://openalex.org/I142208455"]},{"raw_affiliation_string":"Department of Computer Science, FEECS VSB-Technical University of Ostrava, Ostrava, Czech Republic","institution_ids":["https://openalex.org/I142208455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011543714"],"corresponding_institution_ids":["https://openalex.org/I142208455"],"apc_list":null,"apc_paid":null,"fwci":0.2394,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58027246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"22","issue":null,"first_page":"82","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.7295284271240234},{"id":"https://openalex.org/keywords/graph-partition","display_name":"Graph partition","score":0.6951614022254944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6821238994598389},{"id":"https://openalex.org/keywords/spectral-analysis","display_name":"Spectral analysis","score":0.5385772585868835},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5140055418014526},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4913090765476227},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4753115773200989},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.469833105802536},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4614085257053375},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.4401954710483551},{"id":"https://openalex.org/keywords/spectral-method","display_name":"Spectral method","score":0.44019076228141785},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4386158883571625},{"id":"https://openalex.org/keywords/network-analysis","display_name":"Network analysis","score":0.4306624233722687},{"id":"https://openalex.org/keywords/algebraic-number","display_name":"Algebraic number","score":0.41308265924453735},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.4112766683101654},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36833471059799194},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24495697021484375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21579021215438843},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08050099015235901},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.07609596848487854},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0753890872001648}],"concepts":[{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.7295284271240234},{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.6951614022254944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6821238994598389},{"id":"https://openalex.org/C2983668108","wikidata":"https://www.wikidata.org/wiki/Q280453","display_name":"Spectral analysis","level":3,"score":0.5385772585868835},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5140055418014526},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4913090765476227},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4753115773200989},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.469833105802536},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4614085257053375},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.4401954710483551},{"id":"https://openalex.org/C23463724","wikidata":"https://www.wikidata.org/wiki/Q2308831","display_name":"Spectral method","level":2,"score":0.44019076228141785},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4386158883571625},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.4306624233722687},{"id":"https://openalex.org/C9376300","wikidata":"https://www.wikidata.org/wiki/Q168817","display_name":"Algebraic number","level":2,"score":0.41308265924453735},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.4112766683101654},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36833471059799194},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24495697021484375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21579021215438843},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08050099015235901},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.07609596848487854},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0753890872001648},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isda.2011.6121635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2011.6121635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 11th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324050","display_name":"Ostravsk\u00e1 Univerzita v Ostrav\u011b","ror":"https://ror.org/00pyqav47"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1484231630","https://openalex.org/W1664520935","https://openalex.org/W2067976091","https://openalex.org/W2080683306","https://openalex.org/W2081997665","https://openalex.org/W2086749097","https://openalex.org/W2103954382","https://openalex.org/W2107940287","https://openalex.org/W2116673134","https://openalex.org/W2117766076","https://openalex.org/W2121947440","https://openalex.org/W2131717044","https://openalex.org/W2134737843","https://openalex.org/W2136935487","https://openalex.org/W2141465109","https://openalex.org/W2169499007","https://openalex.org/W3104640662","https://openalex.org/W4246047487","https://openalex.org/W6667557251","https://openalex.org/W6670958606","https://openalex.org/W6680735885"],"related_works":["https://openalex.org/W2584995636","https://openalex.org/W3168808485","https://openalex.org/W3017750840","https://openalex.org/W4321153334","https://openalex.org/W4372272096","https://openalex.org/W2546283402","https://openalex.org/W2963622251","https://openalex.org/W4301204198","https://openalex.org/W4352976663","https://openalex.org/W2547199139"],"abstract_inverted_index":{"Spectral":[0],"partitioning":[1,20,71],"is":[2,72],"a":[3,41,47,52,82],"well":[4],"known":[5],"method":[6],"in":[7,81],"the":[8,75],"area":[9],"of":[10,69,77],"graph":[11],"and":[12,21,29,59,62,79],"matrix":[13],"analysis.":[14],"Several":[15],"approaches":[16],"based":[17,55],"on":[18,56],"spectral":[19,22,43,70],"clustering":[23],"were":[24],"used":[25],"to":[26,45],"detect":[27],"structures":[28],"mine":[30],"data":[31],"from":[32],"real":[33],"world":[34],"networks.":[35,84],"In":[36],"this":[37,66],"paper,":[38],"we":[39],"use":[40,51],"simple":[42,67],"decomposition":[44],"analyze":[46],"co-authorship":[48,83],"network.":[49],"We":[50],"straightforward":[53],"approach":[54],"algebraic":[57],"connectivity":[58],"characteristic":[60],"valuation":[61],"show":[63],"that":[64],"even":[65],"form":[68],"useful":[73],"for":[74],"analysis":[76],"relations":[78],"communities":[80]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
