{"id":"https://openalex.org/W2758274886","doi":"https://doi.org/10.1109/dexa.2017.36","title":"Global and Local Feature Learning for Ego-Network Analysis","display_name":"Global and Local Feature Learning for Ego-Network Analysis","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2758274886","doi":"https://doi.org/10.1109/dexa.2017.36","mag":"2758274886"},"language":"en","primary_location":{"id":"doi:10.1109/dexa.2017.36","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dexa.2017.36","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 28th International Workshop on Database and Expert Systems Applications (DEXA)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2002.06685","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"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":false,"raw_author_name":"Fatemeh Salehi Rizi","raw_affiliation_strings":["Department of Computer Science and Mathematics, University of Passau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, University of Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Michael Granitzer","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":false,"raw_author_name":"Michael Granitzer","raw_affiliation_strings":["Department of Computer Science and Mathematics, University of Passau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, University of Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]},{"author_position":"last","author":{"id":null,"display_name":"Konstantin Ziegler","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":false,"raw_author_name":"Konstantin Ziegler","raw_affiliation_strings":["Department of Computer Science and Mathematics, University of Passau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, University of Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I186354981"],"apc_list":null,"apc_paid":null,"fwci":0.9417,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74133537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"14","issue":null,"first_page":"98","last_page":"102"},"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9987999796867371,"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":0.9984999895095825,"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/feature-learning","display_name":"Feature learning","score":0.5957000255584717},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5493000149726868},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5375000238418579},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49639999866485596},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.48159998655319214},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39329999685287476},{"id":"https://openalex.org/keywords/social-learning","display_name":"Social learning","score":0.37380000948905945},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.3601999878883362}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7318000197410583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7116000056266785},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5957000255584717},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5493000149726868},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5375000238418579},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5311999917030334},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49639999866485596},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.48159998655319214},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39329999685287476},{"id":"https://openalex.org/C79416737","wikidata":"https://www.wikidata.org/wiki/Q2305519","display_name":"Social learning","level":2,"score":0.37380000948905945},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3601999878883362},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3555000126361847},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.3440999984741211},{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.28380000591278076},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.2721000015735626},{"id":"https://openalex.org/C2988224531","wikidata":"https://www.wikidata.org/wiki/Q20830730","display_name":"Network structure","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25780001282691956}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dexa.2017.36","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dexa.2017.36","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 28th International Workshop on Database and Expert Systems Applications (DEXA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2002.06685","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.06685","pdf_url":"https://arxiv.org/pdf/2002.06685","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,"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2002.06685","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.06685","pdf_url":"https://arxiv.org/pdf/2002.06685","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,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1994631800","https://openalex.org/W1997491508","https://openalex.org/W2022646176","https://openalex.org/W2028501442","https://openalex.org/W2065039862","https://openalex.org/W2121394390","https://openalex.org/W2131744502","https://openalex.org/W2158908968","https://openalex.org/W2342489173","https://openalex.org/W2366141641","https://openalex.org/W2405129579","https://openalex.org/W2505532336","https://openalex.org/W6606906144","https://openalex.org/W6668136371"],"related_works":[],"abstract_inverted_index":{"In":[0,80],"an":[1,3],"ego-network,":[2],"individual":[4],"(ego)":[5],"organizes":[6],"its":[7,29],"friends":[8],"(alters)":[9],"in":[10,31,57,105],"different":[11],"groups":[12],"(social":[13],"circles).":[14],"This":[15],"social":[16,50,118],"network":[17,69,100],"can":[18,73],"be":[19],"efficiently":[20],"analyzed":[21],"after":[22],"learning":[23,62,68],"representations":[24,38,98],"of":[25,78,93,109,117,125],"the":[26,75,90,106,115],"ego":[27],"and":[28,53,127],"alters":[30],"a":[32,123],"low-dimensional,":[33],"real":[34],"vector":[35],"space.":[36],"These":[37,71],"are":[39,103],"then":[40],"easily":[41],"exploited":[42],"via":[43,60],"statistical":[44],"models":[45],"for":[46,67],"tasks":[47],"such":[48],"as":[49],"circle":[51,119],"detection":[52],"prediction.":[54],"Recent":[55],"advances":[56],"language":[58],"modeling":[59],"deep":[61],"have":[63],"inspired":[64],"new":[65],"methods":[66,72],"representations.":[70],"capture":[74,99],"global":[76,107,126],"structure":[77,92],"networks.":[79,111],"this":[81],"paper,":[82],"we":[83],"evolve":[84],"these":[85],"techniques":[86],"to":[87],"also":[88],"encode":[89],"local":[91,97,128],"neighborhoods.":[94],"Therefore,":[95],"our":[96,132],"features":[101,129],"that":[102,114],"hidden":[104],"representation":[108],"large":[110],"We":[112],"show":[113],"task":[116],"prediction":[120],"benefits":[121],"from":[122],"combination":[124],"generated":[130],"by":[131],"technique.":[133]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2017-10-06T00:00:00"}
