{"id":"https://openalex.org/W2758602106","doi":"https://doi.org/10.3390/a10040109","title":"Properties of Vector Embeddings in Social Networks","display_name":"Properties of Vector Embeddings in Social Networks","publication_year":2017,"publication_date":"2017-09-27","ids":{"openalex":"https://openalex.org/W2758602106","doi":"https://doi.org/10.3390/a10040109","mag":"2758602106"},"language":"en","primary_location":{"id":"doi:10.3390/a10040109","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a10040109","pdf_url":"https://www.mdpi.com/1999-4893/10/4/109/pdf?version=1508836754","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/10/4/109/pdf?version=1508836754","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079198705","display_name":"Fatemeh Salehi Rizi","orcid":null},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Fatemeh Salehi Rizi","raw_affiliation_strings":["Department of Computer Science and Mathematics, University of Passau, 94032 Passau, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, University of Passau, 94032 Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006866152","display_name":"Michael Granitzer","orcid":"https://orcid.org/0000-0003-3566-5507"},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Granitzer","raw_affiliation_strings":["Department of Computer Science and Mathematics, University of Passau, 94032 Passau, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, University of Passau, 94032 Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079198705"],"corresponding_institution_ids":["https://openalex.org/I186354981"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":2.103,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.87512435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"10","issue":"4","first_page":"109","last_page":"109"},"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":0.9872000217437744,"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":0.986299991607666,"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/betweenness-centrality","display_name":"Betweenness centrality","score":0.8453972935676575},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.7012531161308289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6809780597686768},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6192039251327515},{"id":"https://openalex.org/keywords/closeness","display_name":"Closeness","score":0.6045539379119873},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5395050048828125},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.531936526298523},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5241132974624634},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.5221967101097107},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5186885595321655},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.49621492624282837},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4933880865573883},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.48378726840019226},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4617958068847656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4489518702030182},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.36443841457366943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1929977834224701}],"concepts":[{"id":"https://openalex.org/C117045392","wikidata":"https://www.wikidata.org/wiki/Q4899215","display_name":"Betweenness centrality","level":3,"score":0.8453972935676575},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.7012531161308289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6809780597686768},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6192039251327515},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.6045539379119873},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5395050048828125},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.531936526298523},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5241132974624634},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.5221967101097107},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5186885595321655},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.49621492624282837},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4933880865573883},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.48378726840019226},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4617958068847656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4489518702030182},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.36443841457366943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1929977834224701},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a10040109","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a10040109","pdf_url":"https://www.mdpi.com/1999-4893/10/4/109/pdf?version=1508836754","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b2275545da6440c58e6cc871ce21c3df","is_oa":true,"landing_page_url":"https://doaj.org/article/b2275545da6440c58e6cc871ce21c3df","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 10, Iss 4, p 109 (2017)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/10/4/109/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a10040109","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Algorithms; Volume 10; Issue 4; Pages: 109","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a10040109","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a10040109","pdf_url":"https://www.mdpi.com/1999-4893/10/4/109/pdf?version=1508836754","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2758602106.pdf","grobid_xml":"https://content.openalex.org/works/W2758602106.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1536060130","https://openalex.org/W1622676895","https://openalex.org/W1665214252","https://openalex.org/W1774848501","https://openalex.org/W1844634983","https://openalex.org/W1888005072","https://openalex.org/W1965555277","https://openalex.org/W1994377455","https://openalex.org/W2005783762","https://openalex.org/W2015186536","https://openalex.org/W2016210396","https://openalex.org/W2037933327","https://openalex.org/W2049607688","https://openalex.org/W2069353545","https://openalex.org/W2070099460","https://openalex.org/W2072566913","https://openalex.org/W2084077894","https://openalex.org/W2084809122","https://openalex.org/W2087347434","https://openalex.org/W2100364402","https://openalex.org/W2104125400","https://openalex.org/W2124499489","https://openalex.org/W2124637492","https://openalex.org/W2127387319","https://openalex.org/W2130968871","https://openalex.org/W2131571251","https://openalex.org/W2131744502","https://openalex.org/W2134737843","https://openalex.org/W2138243089","https://openalex.org/W2154851992","https://openalex.org/W2154897810","https://openalex.org/W2158908968","https://openalex.org/W2166531833","https://openalex.org/W2187089797","https://openalex.org/W2190008860","https://openalex.org/W2387462954","https://openalex.org/W2393319904","https://openalex.org/W2604849926","https://openalex.org/W2612872092","https://openalex.org/W2623187518","https://openalex.org/W2743187225","https://openalex.org/W2758274886","https://openalex.org/W2949547296","https://openalex.org/W2950265899","https://openalex.org/W2951781666","https://openalex.org/W2962756421","https://openalex.org/W2962805116","https://openalex.org/W2988119488","https://openalex.org/W3103254545","https://openalex.org/W3104097132","https://openalex.org/W3125952634","https://openalex.org/W4232932184","https://openalex.org/W6679593686"],"related_works":["https://openalex.org/W3032839845","https://openalex.org/W4200245967","https://openalex.org/W3094035935","https://openalex.org/W4229880284","https://openalex.org/W204833815","https://openalex.org/W2979579085","https://openalex.org/W2185295010","https://openalex.org/W2611574733","https://openalex.org/W2379664873","https://openalex.org/W1987004712"],"abstract_inverted_index":{"Embedding":[0],"social":[1,128,165],"network":[2,26,72,86,115,138],"data":[3],"into":[4],"a":[5,56,102,154],"low-dimensional":[6],"vector":[7,34,66],"space":[8],"has":[9],"shown":[10],"promising":[11],"performance":[12],"for":[13,43],"many":[14],"real-world":[15,125],"applications,":[16],"such":[17],"as":[18],"node":[19,21],"classification,":[20],"clustering,":[22],"link":[23],"prediction":[24],"and":[25,38,59,84,126],"visualization.":[27],"However,":[28],"the":[29,160],"information":[30],"contained":[31],"in":[32,68,109,148,164],"these":[33],"embeddings":[35,45,67,113,147],"remains":[36],"abstract":[37],"hard":[39],"to":[40,107,111,114,158],"interpret.":[41],"Methods":[42],"inspecting":[44],"usually":[46],"rely":[47],"on":[48,55,124],"visualization":[49],"methods,":[50],"which":[51],"do":[52,60],"not":[53,61],"work":[54],"larger":[57],"scale":[58],"give":[62],"concrete":[63],"interpretations":[64],"of":[65,70],"terms":[69],"preserved":[71,88],"properties":[73,87],"(e.g.,":[74],"centrality":[75],"or":[76,98],"betweenness":[77],"measures).":[78],"In":[79,140],"this":[80],"paper,":[81],"we":[82,142],"study":[83],"investigate":[85],"by":[89],"recent":[90],"random":[91],"walk-based":[92],"embedding":[93,134],"procedures":[94],"like":[95],"node2vec,":[96],"DeepWalk":[97],"LINE.":[99],"We":[100,117],"propose":[101],"method":[103,135],"that":[104,132,144],"applies":[105],"learning":[106],"rank":[108],"order":[110],"relate":[112],"centralities.":[116],"evaluate":[118],"our":[119,145],"approach":[120],"with":[121,150],"extensive":[122],"experiments":[123],"artificial":[127],"networks.":[129,166],"Experiments":[130],"show":[131,143],"each":[133],"learns":[136],"different":[137],"properties.":[139],"addition,":[141],"graph":[146],"combination":[149],"neural":[151],"networks":[152],"provide":[153],"computationally":[155],"efficient":[156],"way":[157],"approximate":[159],"Closeness":[161],"Centrality":[162],"measure":[163]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}