{"id":"https://openalex.org/W4281773103","doi":"https://doi.org/10.1007/s13278-022-00963-z","title":"Fast generation of simple directed social network graphs with reciprocal edges and high clustering","display_name":"Fast generation of simple directed social network graphs with reciprocal edges and high clustering","publication_year":2022,"publication_date":"2022-06-15","ids":{"openalex":"https://openalex.org/W4281773103","doi":"https://doi.org/10.1007/s13278-022-00963-z"},"language":"en","primary_location":{"id":"doi:10.1007/s13278-022-00963-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13278-022-00963-z","pdf_url":null,"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":null,"license_id":null,"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","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.researchsquare.com/article/rs-1737415/latest.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077884784","display_name":"Christoph Schweimer","orcid":"https://orcid.org/0000-0002-6422-7437"},"institutions":[{"id":"https://openalex.org/I4210088621","display_name":"Know Center Research GmbH (Austria)","ror":"https://ror.org/004zhad81","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210088621"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Christoph Schweimer","raw_affiliation_strings":["Know-Center GmbH, Inffeldgasse 13, Graz, 8010, Austria"],"raw_orcid":"https://orcid.org/0000-0002-6422-7437","affiliations":[{"raw_affiliation_string":"Know-Center GmbH, Inffeldgasse 13, Graz, 8010, Austria","institution_ids":["https://openalex.org/I4210088621"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5077884784"],"corresponding_institution_ids":["https://openalex.org/I4210088621"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06856377,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","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":0.6316999793052673,"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":0.6316999793052673,"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":0.1225999966263771,"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/T10799","display_name":"Data Visualization and Analytics","score":0.030700000002980232,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7192127704620361},{"id":"https://openalex.org/keywords/reciprocal","display_name":"Reciprocal","score":0.6747689247131348},{"id":"https://openalex.org/keywords/crawling","display_name":"Crawling","score":0.6709233522415161},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6680788397789001},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6594848036766052},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48174476623535156},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4619375467300415},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4373684227466583},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.42282554507255554},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41760221123695374},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.3996235728263855},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2994498014450073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2967320680618286},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09463387727737427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7192127704620361},{"id":"https://openalex.org/C2777742833","wikidata":"https://www.wikidata.org/wiki/Q1964083","display_name":"Reciprocal","level":2,"score":0.6747689247131348},{"id":"https://openalex.org/C100368936","wikidata":"https://www.wikidata.org/wiki/Q1411725","display_name":"Crawling","level":2,"score":0.6709233522415161},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6680788397789001},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6594848036766052},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48174476623535156},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4619375467300415},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4373684227466583},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42282554507255554},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41760221123695374},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.3996235728263855},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2994498014450073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2967320680618286},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09463387727737427},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s13278-022-00963-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13278-022-00963-z","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Social Network Analysis and Mining","raw_type":"journal-article"},{"id":"doi:10.21203/rs.3.rs-1737415/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-1737415/v1","pdf_url":"https://www.researchsquare.com/article/rs-1737415/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},{"id":"doi:10.48550/arxiv.2206.00502","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2206.00502","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.21203/rs.3.rs-1737415/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-1737415/v1","pdf_url":"https://www.researchsquare.com/article/rs-1737415/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1643390616","display_name":"HPC and Big Data Technologies for Global Systems","funder_award_id":"824115","funder_id":"https://openalex.org/F4320338338","funder_display_name":"H2020 Research Infrastructures"},{"id":"https://openalex.org/G2314237127","display_name":null,"funder_award_id":"824115","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320318434","display_name":"Bundesministerium f\u00fcr Klimaschutz, Umwelt, Energie, Mobilit\u00e4t, Innovation und Technologie","ror":null},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320323031","display_name":"\u00d6sterreichische Forschungsf\u00f6rderungsgesellschaft","ror":"https://ror.org/028jc0449"},{"id":"https://openalex.org/F4320327593","display_name":"Bundesministerium f\u00fcr Digitalisierung und Wirtschaftsstandort","ror":null},{"id":"https://openalex.org/F4320338338","display_name":"H2020 Research Infrastructures","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281773103.pdf","grobid_xml":"https://content.openalex.org/works/W4281773103.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1997698259","https://openalex.org/W2000687288","https://openalex.org/W2008620264","https://openalex.org/W2051333815","https://openalex.org/W2083750870","https://openalex.org/W2091476183","https://openalex.org/W2101196063","https://openalex.org/W2112090702","https://openalex.org/W2112976607","https://openalex.org/W2115022330","https://openalex.org/W2121761994","https://openalex.org/W2144140472","https://openalex.org/W2161728228","https://openalex.org/W2250844151","https://openalex.org/W2962696370","https://openalex.org/W2995057966","https://openalex.org/W2998755720","https://openalex.org/W4224312868","https://openalex.org/W4252394414","https://openalex.org/W4252973173","https://openalex.org/W4312512934"],"related_works":["https://openalex.org/W1832191","https://openalex.org/W11684367","https://openalex.org/W6984603","https://openalex.org/W11165844","https://openalex.org/W8124646","https://openalex.org/W9442253","https://openalex.org/W5539457","https://openalex.org/W2237909","https://openalex.org/W3476873","https://openalex.org/W9245123"],"abstract_inverted_index":{"Abstract":[0],"Online":[1],"social":[2,93],"networks":[3,25],"have":[4,39],"emerged":[5],"as":[6,169],"useful":[7],"tools":[8],"to":[9,31,70,75],"communicate":[10],"or":[11],"share":[12],"information":[13],"and":[14,44,63,66,99,117,142],"news":[15],"on":[16,107,114],"a":[17,61,108,119],"daily":[18],"basis.":[19],"One":[20],"of":[21,58,90,145,162],"the":[22,56,67,87,126,132,143,159],"most":[23],"popular":[24],"is":[26,60,105,153],"Twitter,":[27],"where":[28],"users":[29],"connect":[30],"each":[32],"other":[33],"via":[34],"directed":[35,92,134],"follower":[36,42],"relationships.":[37],"Researchers":[38],"studied":[40],"Twitter":[41,52,135],"graphs":[43,95,136,164],"described":[45],"them":[46],"with":[47,96],"various":[48],"topological":[49,140],"features.":[50],"Collecting":[51],"data,":[53],"especially":[54],"crawling":[55],"followers":[57],"users,":[59],"tedious":[62],"time-consuming":[64],"process":[65],"data":[68],"needs":[69],"be":[71],"treated":[72],"carefully":[73],"due":[74],"its":[76],"sensitive":[77],"nature,":[78],"containing":[79],"personal":[80],"user":[81],"information.":[82],"We":[83],"therefore":[84],"aim":[85],"at":[86],"fast":[88,160],"generation":[89],"synthetic":[91],"network":[94],"reciprocal":[97],"edges":[98],"high":[100],"clustering.":[101],"Our":[102],"proposed":[103],"method":[104,127],"based":[106],"previously":[109],"developed":[110],"model,":[111],"but":[112,150],"relies":[113],"less":[115],"hyper-parameters":[116],"has":[118],"significantly":[120],"lower":[121],"runtime.":[122],"Results":[123],"show":[124],"that":[125,151,165],"does":[128],"not":[129],"only":[130],"replicate":[131],"crawled":[133],"well":[137],"w.r.t.":[138],"several":[139],"features":[141],"application":[144],"an":[146],"epidemics":[147],"spreading":[148],"process,":[149],"it":[152],"also":[154],"highly":[155],"scalable":[156],"which":[157],"allows":[158],"creation":[161],"bigger":[163],"exhibit":[166],"similar":[167],"properties":[168],"real-world":[170],"networks.":[171]},"counts_by_year":[],"updated_date":"2026-05-17T08:19:37.847499","created_date":"2022-06-13T00:00:00"}
