{"id":"https://openalex.org/W2272823194","doi":"https://doi.org/10.1109/comsnets.2016.7439976","title":"Evolving models for meso-scale structures","display_name":"Evolving models for meso-scale structures","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2272823194","doi":"https://doi.org/10.1109/comsnets.2016.7439976","mag":"2272823194"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets.2016.7439976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets.2016.7439976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1511.08971","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055236010","display_name":"Akrati Saxena","orcid":"https://orcid.org/0000-0002-7151-6309"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Akrati Saxena","raw_affiliation_strings":["Computer Science and Engineering, Indian Institute of Technology, Ropar, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Technology, Ropar, India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080507324","display_name":"S. R. S. Iyengar","orcid":"https://orcid.org/0000-0003-4451-5949"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. R. S. Iyengar","raw_affiliation_strings":["Computer Science and Engineering, Indian Institute of Technology, Ropar, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Technology, Ropar, India","institution_ids":["https://openalex.org/I119241673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055236010"],"corresponding_institution_ids":["https://openalex.org/I119241673"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01190165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9991999864578247,"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/T13283","display_name":"Mental Health Research Topics","score":0.9556999802589417,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.7072461843490601},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.6867021322250366},{"id":"https://openalex.org/keywords/degree-distribution","display_name":"Degree distribution","score":0.655224621295929},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.6219937205314636},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5898308157920837},{"id":"https://openalex.org/keywords/scale-free-network","display_name":"Scale-free network","score":0.5827417373657227},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.553532600402832},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.5000834465026855},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.495900958776474},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.493491530418396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4779336750507355},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.45928215980529785},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.42359447479248047},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.41810745000839233},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4016454219818115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2982048988342285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2553586959838867},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22474727034568787},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14258190989494324},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12572291493415833},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09100627899169922},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08131596446037292},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07273012399673462}],"concepts":[{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.7072461843490601},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.6867021322250366},{"id":"https://openalex.org/C87414783","wikidata":"https://www.wikidata.org/wiki/Q1002603","display_name":"Degree distribution","level":3,"score":0.655224621295929},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.6219937205314636},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5898308157920837},{"id":"https://openalex.org/C25580894","wikidata":"https://www.wikidata.org/wiki/Q1071058","display_name":"Scale-free network","level":3,"score":0.5827417373657227},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.553532600402832},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.5000834465026855},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.495900958776474},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.493491530418396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4779336750507355},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.45928215980529785},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.42359447479248047},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.41810745000839233},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4016454219818115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2982048988342285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2553586959838867},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22474727034568787},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14258190989494324},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12572291493415833},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09100627899169922},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08131596446037292},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07273012399673462},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/comsnets.2016.7439976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets.2016.7439976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1511.08971","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1511.08971","pdf_url":"https://arxiv.org/pdf/1511.08971","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2272823194","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1511.08971.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1511.08971","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1511.08971","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1511.08971","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1511.08971","pdf_url":"https://arxiv.org/pdf/1511.08971","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2272823194.pdf","grobid_xml":"https://content.openalex.org/works/W2272823194.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W155995321","https://openalex.org/W746360462","https://openalex.org/W1556758605","https://openalex.org/W1557814434","https://openalex.org/W1573579329","https://openalex.org/W1953975752","https://openalex.org/W1964795149","https://openalex.org/W1973143653","https://openalex.org/W1983345514","https://openalex.org/W1987856655","https://openalex.org/W1990271487","https://openalex.org/W2003510653","https://openalex.org/W2003893010","https://openalex.org/W2008413086","https://openalex.org/W2008620264","https://openalex.org/W2022799198","https://openalex.org/W2032516423","https://openalex.org/W2035710963","https://openalex.org/W2043260340","https://openalex.org/W2046536764","https://openalex.org/W2046662198","https://openalex.org/W2054084527","https://openalex.org/W2060464767","https://openalex.org/W2063570818","https://openalex.org/W2065366397","https://openalex.org/W2072688741","https://openalex.org/W2077698448","https://openalex.org/W2078688861","https://openalex.org/W2080434622","https://openalex.org/W2087897009","https://openalex.org/W2096334090","https://openalex.org/W2104977387","https://openalex.org/W2105585871","https://openalex.org/W2109469951","https://openalex.org/W2109691503","https://openalex.org/W2111708605","https://openalex.org/W2112090702","https://openalex.org/W2116173498","https://openalex.org/W2141418558","https://openalex.org/W2144780381","https://openalex.org/W2148606196","https://openalex.org/W2148606255","https://openalex.org/W2153204928","https://openalex.org/W2155461593","https://openalex.org/W2165190056","https://openalex.org/W2326649039","https://openalex.org/W2950398285","https://openalex.org/W3100507627","https://openalex.org/W3102058415","https://openalex.org/W3103262075","https://openalex.org/W3105201228","https://openalex.org/W3147251214","https://openalex.org/W4312512934","https://openalex.org/W6606406289","https://openalex.org/W6633376167","https://openalex.org/W6634264458","https://openalex.org/W6647768207","https://openalex.org/W6683180375"],"related_works":["https://openalex.org/W2964035224","https://openalex.org/W2098796859","https://openalex.org/W2136066312","https://openalex.org/W2065366397","https://openalex.org/W2389923179","https://openalex.org/W1982906031","https://openalex.org/W2372400400","https://openalex.org/W2034337968","https://openalex.org/W2075404415","https://openalex.org/W2047090517","https://openalex.org/W1607212859","https://openalex.org/W1963530978","https://openalex.org/W2081244961","https://openalex.org/W1556776055","https://openalex.org/W3099625620","https://openalex.org/W2964161656","https://openalex.org/W3125918117","https://openalex.org/W2087885763","https://openalex.org/W1970262267","https://openalex.org/W2148367818"],"abstract_inverted_index":{"Real":[0],"world":[1,26],"complex":[2,113],"networks":[3,40,83,98],"are":[4],"scale":[5,38],"free":[6,39],"and":[7,13,36,43,58,72,92,102,122],"possess":[8],"meso-scale":[9],"properties":[10,111],"like":[11],"core-periphery":[12,45],"community":[14,49],"structure.":[15,50],"We":[16,107],"study":[17,109],"evolution":[18],"of":[19,66,112],"the":[20,64,80],"core":[21],"over":[22],"time":[23],"in":[24],"real":[25],"networks.":[27],"This":[28],"paper":[29],"proposes":[30],"evolving":[31],"models":[32],"for":[33],"both":[34],"unweighted":[35,82],"weighted":[37,97],"having":[41],"local":[42],"global":[44],"as":[46,48,116],"well":[47],"Network":[51],"evolves":[52],"using":[53],"topological":[54],"growth,":[55,57],"self":[56],"weight":[59],"distribution":[60,88],"function.":[61],"To":[62],"validate":[63],"correctness":[65],"proposed":[67],"models,":[68],"we":[69],"use":[70],"K-shell":[71],"S-shell":[73],"decomposition":[74],"methods.":[75],"Simulation":[76],"results":[77],"show":[78],"that":[79],"generated":[81,96],"follow":[84,99],"power":[85,104],"law":[86,105],"degree":[87,124],"with":[89],"droop":[90],"head":[91],"heavy":[93],"tail.":[94],"Similarly,":[95],"degree,":[100,121],"strength,":[101],"edge-weight":[103],"distributions.":[106],"further":[108],"other":[110],"networks,":[114],"such":[115],"clustering":[117],"coefficient,":[118],"nearest":[119],"neighbor":[120],"strength":[123],"correlation.":[125]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
