{"id":"https://openalex.org/W2806951769","doi":"https://doi.org/10.1007/s41109-019-0175-7","title":"Active semi-supervised overlapping community finding with pairwise constraints","display_name":"Active semi-supervised overlapping community finding with pairwise constraints","publication_year":2019,"publication_date":"2019-08-23","ids":{"openalex":"https://openalex.org/W2806951769","doi":"https://doi.org/10.1007/s41109-019-0175-7","mag":"2806951769"},"language":"en","primary_location":{"id":"doi:10.1007/s41109-019-0175-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-019-0175-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41109-019-0175-7.pdf","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s41109-019-0175-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060404072","display_name":"Elham Alghamdi","orcid":"https://orcid.org/0000-0001-9487-1752"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Elham Alghamdi","raw_affiliation_strings":["University College Dublin, Dublin, Ireland"],"raw_orcid":"https://orcid.org/0000-0001-9487-1752","affiliations":[{"raw_affiliation_string":"University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053619267","display_name":"Derek Greene","orcid":"https://orcid.org/0000-0001-8065-5418"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Derek Greene","raw_affiliation_strings":["University College Dublin, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5053619267"],"corresponding_institution_ids":["https://openalex.org/I100930933"],"apc_list":{"value":1390,"currency":"USD","value_usd":1390},"apc_paid":{"value":1390,"currency":"USD","value_usd":1390},"fwci":0.3694,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52890912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":"1","first_page":null,"last_page":null},"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/T10799","display_name":"Data Visualization and Analytics","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.9199512004852295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.747855544090271},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6514586210250854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5580111145973206},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5293800234794617},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5138059258460999},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.507928192615509},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.46511486172676086},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3493996262550354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10056307911872864}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.9199512004852295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.747855544090271},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6514586210250854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5580111145973206},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5293800234794617},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5138059258460999},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.507928192615509},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.46511486172676086},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3493996262550354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10056307911872864},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s41109-019-0175-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-019-0175-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41109-019-0175-7.pdf","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},{"id":"pmh:oai:researchrepository.ucd.ie:10197/11048","is_oa":true,"landing_page_url":"http://hdl.handle.net/10197/11048","pdf_url":"http://hdl.handle.net/10197/11048","source":{"id":"https://openalex.org/S4306402280","display_name":"Research Repository UCD (University College Dublin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I100930933","host_organization_name":"University College Dublin","host_organization_lineage":["https://openalex.org/I100930933"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:224995d7d91e42a082a1851a9810ab35","is_oa":false,"landing_page_url":"https://doaj.org/article/224995d7d91e42a082a1851a9810ab35","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Network Science, Vol 4, Iss 1, Pp 1-27 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41109-019-0175-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-019-0175-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41109-019-0175-7.pdf","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1383882326","display_name":null,"funder_award_id":"SFI/12/RC/","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G2881606312","display_name":null,"funder_award_id":"SFI/12/RC/2289","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G5098725405","display_name":null,"funder_award_id":"12/RC/","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G6654329577","display_name":null,"funder_award_id":"Grant Number SFI/12/RC/2289","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G7362007176","display_name":"INSIGHT - Irelands Big Data and Analytics Research Centre","funder_award_id":"12/RC/2289","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"}],"funders":[{"id":"https://openalex.org/F4320320847","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2806951769.pdf","grobid_xml":"https://content.openalex.org/works/W2806951769.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W67425217","https://openalex.org/W125376580","https://openalex.org/W136278976","https://openalex.org/W1481689911","https://openalex.org/W1505854179","https://openalex.org/W1516407653","https://openalex.org/W1549658602","https://openalex.org/W1565608089","https://openalex.org/W1592690888","https://openalex.org/W1712512833","https://openalex.org/W1902027874","https://openalex.org/W1970301364","https://openalex.org/W1971421925","https://openalex.org/W1971691362","https://openalex.org/W1973178976","https://openalex.org/W1977713568","https://openalex.org/W1983897352","https://openalex.org/W1994285421","https://openalex.org/W2022704179","https://openalex.org/W2023655578","https://openalex.org/W2037096232","https://openalex.org/W2047940964","https://openalex.org/W2079068189","https://openalex.org/W2084283398","https://openalex.org/W2091202730","https://openalex.org/W2110620844","https://openalex.org/W2115632271","https://openalex.org/W2118608338","https://openalex.org/W2127048411","https://openalex.org/W2131681506","https://openalex.org/W2134512579","https://openalex.org/W2136576902","https://openalex.org/W2139694940","https://openalex.org/W2139956879","https://openalex.org/W2141490615","https://openalex.org/W2151936673","https://openalex.org/W2157533417","https://openalex.org/W2159984870","https://openalex.org/W2164928285","https://openalex.org/W2165466912","https://openalex.org/W2165533101","https://openalex.org/W2182273006","https://openalex.org/W2193215203","https://openalex.org/W2233410467","https://openalex.org/W2288457463","https://openalex.org/W2293761771","https://openalex.org/W2402657041","https://openalex.org/W2417890516","https://openalex.org/W2487470078","https://openalex.org/W2596101136","https://openalex.org/W2755088640","https://openalex.org/W2894242801","https://openalex.org/W2903158431","https://openalex.org/W2953321728","https://openalex.org/W2964273740","https://openalex.org/W3099768174","https://openalex.org/W3100506471","https://openalex.org/W3102641634","https://openalex.org/W3103973800","https://openalex.org/W3213166255","https://openalex.org/W4239682265","https://openalex.org/W4292081303"],"related_works":["https://openalex.org/W6296663","https://openalex.org/W133296","https://openalex.org/W7724241","https://openalex.org/W10166270","https://openalex.org/W10015831","https://openalex.org/W2124813","https://openalex.org/W13211703","https://openalex.org/W6072047","https://openalex.org/W12392599","https://openalex.org/W13478224"],"abstract_inverted_index":{"Algorithms":[0],"for":[1,81,95,111,139],"finding":[2,82,96],"communities":[3,32,84,97],"in":[4,33,56,85],"complex":[5],"networks":[6],"are":[7,39],"generally":[8],"unsupervised,":[9],"relying":[10],"solely":[11],"on":[12,92,128],"the":[13,16,30,34,57,64,73,120,134],"structure":[14],"of":[15,59,75,122,136,150],"network.":[17],"However,":[18],"these":[19,46],"methods":[20],"can":[21],"often":[22],"fail":[23],"to":[24,44,62,78,118],"uncover":[25],"meaningful":[26,142],"groupings":[27],"that":[28],"reflect":[29],"underlying":[31],"data,":[35],"particularly":[36],"when":[37],"they":[38],"highly":[40],"overlapping.":[41],"One":[42],"way":[43],"improve":[45,79],"algorithms":[47,80],"is":[48,116],"by":[49,108],"incorporating":[50],"human":[51,123],"expertise":[52],"or":[53],"background":[54],"knowledge":[55],"form":[58],"pairwise":[60,99],"constraints":[61],"direct":[63],"community":[65,144],"detection":[66],"process.":[67],"In":[68],"this":[69,137],"work,":[70],"we":[71,102],"explore":[72],"potential":[74,135],"semi-supervised":[76],"strategies":[77],"overlapping":[83,143],"networks.":[86],"We":[87],"propose":[88],"a":[89,104,147],"method,":[90],"based":[91],"label":[93],"propagation,":[94],"using":[98,146],"constraints.":[100],"Furthermore,":[101],"introduce":[103],"new":[105],"strategy,":[106],"inspired":[107],"active":[109],"learning,":[110],"intelligent":[112],"constraint":[113],"selection,":[114],"which":[115],"designed":[117],"minimize":[119],"level":[121],"annotation":[124],"required.":[125],"Extensive":[126],"evaluations":[127],"synthetic":[129],"and":[130],"real-world":[131],"datasets":[132],"demonstrate":[133],"strategy":[138],"effectively":[140],"uncovering":[141],"structures,":[145],"limited":[148],"amount":[149],"supervision.":[151]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}