{"id":"https://openalex.org/W2525856509","doi":"https://doi.org/10.1007/s13278-016-0397-y","title":"A supervised approach for intra-/inter-community interaction prediction in dynamic social networks","display_name":"A supervised approach for intra-/inter-community interaction prediction in dynamic social networks","publication_year":2016,"publication_date":"2016-09-27","ids":{"openalex":"https://openalex.org/W2525856509","doi":"https://doi.org/10.1007/s13278-016-0397-y","mag":"2525856509"},"language":"en","primary_location":{"id":"doi:10.1007/s13278-016-0397-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13278-016-0397-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13278-016-0397-y.pdf","source":{"id":"https://openalex.org/S2764891196","display_name":"Social Network Analysis and Mining","issn_l":"1869-5450","issn":["1869-5450","1869-5469"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Social Network Analysis and Mining","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s13278-016-0397-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002595735","display_name":"Giulio Rossetti","orcid":"https://orcid.org/0000-0003-3373-1240"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giulio Rossetti","raw_affiliation_strings":["KDDLab, ISTI -CNR, Via G. Moruzzi,1, 56124, Pisa, Italy"],"raw_orcid":"https://orcid.org/0000-0003-3373-1240","affiliations":[{"raw_affiliation_string":"KDDLab, ISTI -CNR, Via G. Moruzzi,1, 56124, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091251187","display_name":"Riccardo Guidotti","orcid":"https://orcid.org/0000-0002-2827-7613"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Riccardo Guidotti","raw_affiliation_strings":["KDDLab, University of Pisa, Largo B. Pontecorvo, 3, 56127, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KDDLab, University of Pisa, Largo B. Pontecorvo, 3, 56127, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060236527","display_name":"Ioanna Miliou","orcid":"https://orcid.org/0000-0002-1357-1967"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ioanna Miliou","raw_affiliation_strings":["KDDLab, University of Pisa, Largo B. Pontecorvo, 3, 56127, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KDDLab, University of Pisa, Largo B. Pontecorvo, 3, 56127, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044898565","display_name":"Dino Pedreschi","orcid":"https://orcid.org/0000-0003-4801-3225"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Dino Pedreschi","raw_affiliation_strings":["KDDLab, University of Pisa, Largo B. Pontecorvo, 3, 56127, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KDDLab, University of Pisa, Largo B. Pontecorvo, 3, 56127, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024505700","display_name":"Fosca Giannotti","orcid":"https://orcid.org/0000-0003-3099-3835"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fosca Giannotti","raw_affiliation_strings":["KDDLab, ISTI -CNR, Via G. Moruzzi,1, 56124, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KDDLab, ISTI -CNR, Via G. Moruzzi,1, 56124, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002595735"],"corresponding_institution_ids":["https://openalex.org/I122991210"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.5037,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.83691796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","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":1.0,"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":1.0,"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":0.9970999956130981,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8397002220153809},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.758142352104187},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7113831043243408},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5303685665130615},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5185073614120483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4575689136981964},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.454934686422348},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4423955976963043},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41556113958358765},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3522285521030426},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.31948184967041016},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2557554841041565},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09928473830223083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8397002220153809},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.758142352104187},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7113831043243408},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5303685665130615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5185073614120483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4575689136981964},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.454934686422348},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4423955976963043},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41556113958358765},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3522285521030426},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.31948184967041016},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2557554841041565},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09928473830223083},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s13278-016-0397-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13278-016-0397-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13278-016-0397-y.pdf","source":{"id":"https://openalex.org/S2764891196","display_name":"Social Network Analysis and Mining","issn_l":"1869-5450","issn":["1869-5450","1869-5469"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Social Network Analysis and Mining","raw_type":"journal-article"},{"id":"pmh:oai:arpi.unipi.it:11568/833976","is_oa":true,"landing_page_url":"https://link.springer.com/article/10.1007/s13278-016-0397-y","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"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":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:dnet:people______::efe254218d50b6bf38bffa4bb1f62b75","is_oa":true,"landing_page_url":"https://openportal.isti.cnr.it/doc?id=people______::efe254218d50b6bf38bffa4bb1f62b75","pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Social Network Analysis and Mining 6 (2016). doi:10.1007/s13278-016-0397-y","raw_type":"http://purl.org/coar/resource_type/c_6501"},{"id":"pmh:oai:zenodo.org:32144","is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/32144","pdf_url":null,"source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"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":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s13278-016-0397-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13278-016-0397-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13278-016-0397-y.pdf","source":{"id":"https://openalex.org/S2764891196","display_name":"Social Network Analysis and Mining","issn_l":"1869-5450","issn":["1869-5450","1869-5469"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Social Network Analysis and Mining","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4365905886","display_name":null,"funder_award_id":"-2014-2015","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G5848184290","display_name":null,"funder_award_id":"654024","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G922643253","display_name":null,"funder_award_id":"641191","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2525856509.pdf","grobid_xml":"https://content.openalex.org/works/W2525856509.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1556758605","https://openalex.org/W1743429370","https://openalex.org/W1854214752","https://openalex.org/W1855065139","https://openalex.org/W1907893455","https://openalex.org/W1942351947","https://openalex.org/W1956559956","https://openalex.org/W1971421925","https://openalex.org/W1979104937","https://openalex.org/W1992331468","https://openalex.org/W2003707464","https://openalex.org/W2008620264","https://openalex.org/W2021579368","https://openalex.org/W2031063730","https://openalex.org/W2032553509","https://openalex.org/W2037933327","https://openalex.org/W2044325247","https://openalex.org/W2064503471","https://openalex.org/W2083922799","https://openalex.org/W2101108259","https://openalex.org/W2109469951","https://openalex.org/W2112090702","https://openalex.org/W2112513452","https://openalex.org/W2114860547","https://openalex.org/W2115145152","https://openalex.org/W2122515732","https://openalex.org/W2124142520","https://openalex.org/W2131681506","https://openalex.org/W2132482339","https://openalex.org/W2141113219","https://openalex.org/W2154454189","https://openalex.org/W2158929600","https://openalex.org/W2166293769","https://openalex.org/W2167467982","https://openalex.org/W2168281373","https://openalex.org/W2170755015","https://openalex.org/W2952465358","https://openalex.org/W2962814162","https://openalex.org/W3099768174","https://openalex.org/W3106236755","https://openalex.org/W4232932184","https://openalex.org/W6604838657","https://openalex.org/W6605320920","https://openalex.org/W6828082092"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2476079015","https://openalex.org/W2556086418","https://openalex.org/W2747027460"],"abstract_inverted_index":{"Due":[0],"to":[1,21,39,106,169],"the":[2,9,12,71,76,143,176,183],"growing":[3],"availability":[4],"of":[5,42,51,70,78,83,122,178,185],"Internet":[6],"services":[7],"in":[8,87,92,147],"last":[10],"decade,":[11],"interactions":[13,80],"between":[14,81,126],"people":[15],"became":[16],"more":[17,19],"and":[18,153,190],"easy":[20],"establish.":[22],"For":[23],"example,":[24],"we":[25,33,98,109,141,174],"can":[26,34],"have":[27],"an":[28],"intercontinental":[29],"job":[30],"interview,":[31],"or":[32],"send":[35],"real-time":[36],"multimedia":[37],"content":[38],"any":[40],"friend":[41],"us":[43],"just":[44],"owning":[45],"a":[46,59,111],"smartphone.":[47],"All":[48],"this":[49,96,107],"kind":[50],"human":[52],"activities":[53],"generates":[54],"digital":[55],"footprints,":[56],"that":[57],"describe":[58],"complex,":[60],"rapidly":[61],"evolving,":[62],"network":[63],"structures.":[64],"In":[65,95],"such":[66,100],"dynamic":[67],"scenario,":[68],"one":[69],"most":[72],"challenging":[73],"tasks":[74],"involves":[75],"prediction":[77,145],"future":[79],"couples":[82],"actors":[84],"(i.e.,":[85],"users":[86],"online":[88],"social":[89,132],"networks,":[90],"researchers":[91],"collaboration":[93],"networks).":[94],"paper,":[97],"approach":[99,114,166],"problem":[101,146],"by":[102,119,137],"leveraging":[103],"networks":[104,133,162],"dynamics:":[105],"extent,":[108],"propose":[110],"supervised":[112],"learning":[113],"which":[115],"exploits":[116],"features":[117],"computed":[118],"time-aware":[120],"forecasts":[121],"topological":[123],"measures":[124],"calculated":[125],"node":[127],"pairs.":[128],"Moreover,":[129],"since":[130],"real":[131,160],"are":[134],"generally":[135],"composed":[136],"weakly":[138],"connected":[139],"modules,":[140],"instantiate":[142],"interaction":[144],"two":[148],"disjoint":[149],"applicative":[150],"scenarios:":[151],"intra-community":[152],"inter-community":[154],"link":[155],"prediction.":[156],"Experimental":[157],"results":[158],"on":[159],"time-stamped":[161],"show":[163],"how":[164],"our":[165,179],"is":[167],"able":[168],"reach":[170],"high":[171],"accuracy.":[172],"Furthermore,":[173],"analyze":[175],"performances":[177],"methodology":[180],"when":[181],"varying":[182],"typologies":[184],"features,":[186],"community":[187],"discovery":[188],"algorithms":[189],"forecast":[191],"methods.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
