{"id":"https://openalex.org/W1569923641","doi":"https://doi.org/10.48550/arxiv.1502.00354","title":"A Web-based Interactive Visual Graph Analytics Platform","display_name":"A Web-based Interactive Visual Graph Analytics Platform","publication_year":2015,"publication_date":"2015-02-02","ids":{"openalex":"https://openalex.org/W1569923641","doi":"https://doi.org/10.48550/arxiv.1502.00354","mag":"1569923641"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1502.00354","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1502.00354","pdf_url":"https://arxiv.org/pdf/1502.00354","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1502.00354","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059294839","display_name":"Nesreen K. Ahmed","orcid":"https://orcid.org/0000-0002-7913-4962","observed_orcids":["https://orcid.org/0000-0002-7913-4962"]},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed, Nesreen K.","raw_affiliation_strings":["Dept. of Computer Science Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009957887","display_name":"Ryan A. Rossi","orcid":"https://orcid.org/0000-0001-9758-0635","observed_orcids":["https://orcid.org/0000-0001-9758-0635"]},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rossi, Ryan A.","raw_affiliation_strings":["Dept. of Computer Science Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science Purdue University","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9574999809265137,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9574999809265137,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.031700000166893005,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.007699999958276749,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/graph-analysis","display_name":"graph analysis","score":0.5180000066757202},{"id":"https://openalex.org/keywords/interactive-network-visualization","display_name":"interactive network visualization","score":0.875},{"id":"https://openalex.org/keywords/community-detection","display_name":"community detection","score":0.8709999918937683},{"id":"https://openalex.org/keywords/role-recognition","display_name":"role identification","score":0.9539999961853027},{"id":"https://openalex.org/keywords/block-model","display_name":"block model","score":0.9300000071525574},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"dynamic network analysis","score":0.6809999942779541},{"id":"https://openalex.org/keywords/graph-partitioning","display_name":"graph partitioning","score":0.5270000100135803},{"id":"https://openalex.org/keywords/graph-generation","display_name":"graph generation","score":0.3619999885559082}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8278576135635376},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.7232363224029541},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6949358582496643},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.634192705154419},{"id":"https://openalex.org/C112953755","wikidata":"https://www.wikidata.org/wiki/Q739462","display_name":"Graph drawing","level":3,"score":0.607647716999054},{"id":"https://openalex.org/C64073096","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Interactive visualization","level":3,"score":0.5826534032821655},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5283470749855042},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.5134859681129456},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4825843870639801},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4579834043979645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4273453950881958},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.41451460123062134},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4059157371520996},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:1502.00354","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1502.00354","pdf_url":"https://arxiv.org/pdf/1502.00354","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1502.00354","doi":"https://doi.org/10.48550/arxiv.1502.00354","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1502.00354","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1502.00354","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1502.00354","pdf_url":"https://arxiv.org/pdf/1502.00354","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1569923641.pdf","grobid_xml":"https://content.openalex.org/works/W1569923641.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W271218483","https://openalex.org/W2021969955","https://openalex.org/W2067247412","https://openalex.org/W2142887429","https://openalex.org/W2147846431","https://openalex.org/W2950550864","https://openalex.org/W3143219376"],"related_works":["https://openalex.org/W2125415839","https://openalex.org/W1524166130","https://openalex.org/W2884146159","https://openalex.org/W2125910575","https://openalex.org/W1553472606","https://openalex.org/W2136834339","https://openalex.org/W2293692408","https://openalex.org/W4404371242","https://openalex.org/W4392846046","https://openalex.org/W4233716913"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,55,86,137,153,200,240],"web-based":[4],"visual":[5,128,183],"graph":[6,11,56,98,110,184,237],"analytics":[7,92],"platform":[8],"for":[9,37,96,139,167,206,230],"interactive":[10,26,88,182,191,236],"mining,":[12],"visualization,":[13,235],"and":[14,23,35,41,48,65,73,91,100,112,122,126,144,158,165,171,234,239,247],"real-time":[15,97,175],"exploration":[16,101],"of":[17,67,83,105,118,136,155,181,202,242],"networks.":[18],"GraphVis":[19,84],"is":[20],"fast,":[21],"intuitive,":[22],"flexible,":[24],"combining":[25],"visualizations":[27],"with":[28,124,209],"analytic":[29,111,185],"techniques":[30,114,157,186],"to":[31],"reveal":[32],"important":[33],"patterns":[34,66],"insights":[36],"sense":[38],"making,":[39],"reasoning,":[40],"decision":[42],"making.":[43],"Networks":[44],"can":[45,74],"be":[46,75],"visualized":[47],"explored":[49,77],"within":[50],"seconds":[51],"by":[52],"simply":[53],"drag-and-dropping":[54],"file":[57],"into":[58],"the":[59,68,81,109,177],"web":[60],"browser.":[61],"The":[62],"structure,":[63],"properties,":[64],"network":[69,89,232,244],"are":[70,120,146,187],"computed":[71],"automatically":[72],"instantly":[76],"in":[78,174],"real-time.":[79],"At":[80],"heart":[82],"lies":[85],"multi-level":[87,243],"visualization":[90,113],"engine":[93],"that":[94,160],"allows":[95],"mining":[99],"across":[102],"multiple":[103],"levels":[104],"granularity":[106],"simultaneously.":[107],"Both":[108],"(at":[115],"each":[116],"level":[117],"granularity)":[119],"dynamic":[121,231],"interactive,":[123],"immediate":[125],"continuous":[127],"feedback":[129],"upon":[130],"every":[131],"user":[132],"interaction":[133],"(e.g.,":[134],"change":[135],"slider":[138],"filtering).":[140],"Furthermore,":[141],"nodes,":[142],"edges,":[143],"subgraphs":[145],"easily":[147],"inserted,":[148],"deleted":[149],"or":[150],"exported":[151],"via":[152],"number":[154,180,201],"novel":[156,203],"tools":[159,229],"make":[161],"it":[162],"extremely":[163],"easy":[164],"flexible":[166],"exploring,":[168],"testing":[169],"hypothesis,":[170],"understanding":[172],"networks":[173],"over":[176],"web.":[178],"A":[179],"also":[188,214],"proposed":[189],"including":[190,219],"role":[192],"discovery":[193],"methods,":[194],"community":[195,210],"detection,":[196],"as":[197,199,226,228],"well":[198,227],"block":[204],"models":[205],"generating":[207],"graphs":[208],"structure.":[211],"Finally,":[212],"we":[213],"highlight":[215],"other":[216],"key":[217],"aspects":[218],"filtering,":[220],"querying,":[221],"ranking,":[222],"manipulating,":[223],"exporting,":[224],"partitioning,":[225],"analysis":[233],"generators,":[238],"variety":[241],"analysis,":[245],"summarization,":[246],"statistical":[248],"techniques.":[249]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
