{"id":"https://openalex.org/W2961623092","doi":"https://doi.org/10.1109/access.2019.2928438","title":"SWNF: Sign Prediction of Weak Ties Based on the Network Features","display_name":"SWNF: Sign Prediction of Weak Ties Based on the Network Features","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2961623092","doi":"https://doi.org/10.1109/access.2019.2928438","mag":"2961623092"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2928438","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2928438","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08760226.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08760226.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003852858","display_name":"Donghai Guan","orcid":"https://orcid.org/0000-0002-8448-9020"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Donghai Guan","raw_affiliation_strings":["Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8448-9020","affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447723","display_name":"Tingting Wang","orcid":"https://orcid.org/0000-0002-2666-7159"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tingting Wang","raw_affiliation_strings":["Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101899176","display_name":"Weiwei Yuan","orcid":"https://orcid.org/0000-0002-0452-4536"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiwei Yuan","raw_affiliation_strings":["Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036942146","display_name":"Lejun Zhang","orcid":"https://orcid.org/0000-0002-3458-7431"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lejun Zhang","raw_affiliation_strings":["College of Information Engineering, Yangzhou University, Yangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046462412","display_name":"Yuan Tian","orcid":"https://orcid.org/0000-0002-6217-3228"},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Tian","raw_affiliation_strings":["School of Computer Engineering, Nanjing Institute of Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanjing Institute of Technology, Nanjing, China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017460775","display_name":"Mohammed Al-Dhelaan","orcid":null},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mohammed Al-Dhelaan","raw_affiliation_strings":["Department of Computer Science, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075258792","display_name":"Abdullah Al\u2010Dhelaan","orcid":"https://orcid.org/0000-0003-0318-7627"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Abdullah Al-Dhelaan","raw_affiliation_strings":["Department of Computer Science, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1388,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43676669,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"102054","last_page":"102063"},"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/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/T12488","display_name":"Mental Health via Writing","score":0.9634000062942505,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.8945486545562744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6627197265625},{"id":"https://openalex.org/keywords/interpersonal-ties","display_name":"Interpersonal ties","score":0.6163187623023987},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.6050969362258911},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5446316003799438},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5373735427856445},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.478710412979126},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43445754051208496},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4236333668231964},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41246452927589417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4086558222770691},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35323774814605713},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2646988034248352},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20286789536476135},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.19775837659835815},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07589316368103027}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.8945486545562744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6627197265625},{"id":"https://openalex.org/C142189719","wikidata":"https://www.wikidata.org/wiki/Q1276633","display_name":"Interpersonal ties","level":2,"score":0.6163187623023987},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.6050969362258911},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5446316003799438},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5373735427856445},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.478710412979126},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43445754051208496},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4236333668231964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41246452927589417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4086558222770691},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35323774814605713},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2646988034248352},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20286789536476135},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.19775837659835815},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07589316368103027},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2928438","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2928438","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08760226.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d4dfeb52460d442cbd9d2898d4127f9e","is_oa":true,"landing_page_url":"https://doaj.org/article/d4dfeb52460d442cbd9d2898d4127f9e","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 102054-102063 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2928438","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2928438","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08760226.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1140136427","display_name":null,"funder_award_id":"RGP-VPP-264","funder_id":"https://openalex.org/F4320321145","funder_display_name":"King Saud University"},{"id":"https://openalex.org/G1184804218","display_name":null,"funder_award_id":"2016M591841","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G1930424476","display_name":"\u793e\u4f1a\u7f51\u7edc\u4e2d\u53ef\u9760\u7684\u7b26\u53f7\u9884\u6d4b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61672284","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5263990036","display_name":null,"funder_award_id":"RGP-VPP-264","funder_id":"https://openalex.org/F4320335726","funder_display_name":"Deanship of Scientific Research, King Saud University"},{"id":"https://openalex.org/G5531047992","display_name":null,"funder_award_id":"LC2016024","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"},{"id":"https://openalex.org/G6587502075","display_name":null,"funder_award_id":"1601225C","funder_id":"https://openalex.org/F4320335471","funder_display_name":"Jiangsu Planned Projects for Postdoctoral Research Funds"},{"id":"https://openalex.org/G7219849586","display_name":null,"funder_award_id":"17KJB520044","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8155427290","display_name":null,"funder_award_id":"BK20171418","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8191142601","display_name":null,"funder_award_id":"17KJB520044","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321145","display_name":"King Saud University","ror":"https://ror.org/02f81g417"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null},{"id":"https://openalex.org/F4320335471","display_name":"Jiangsu Planned Projects for Postdoctoral Research Funds","ror":null},{"id":"https://openalex.org/F4320335726","display_name":"Deanship of Scientific Research, King Saud University","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2961623092.pdf","grobid_xml":"https://content.openalex.org/works/W2961623092.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1497990247","https://openalex.org/W1552468722","https://openalex.org/W1614298861","https://openalex.org/W1743429370","https://openalex.org/W1888005072","https://openalex.org/W1971421925","https://openalex.org/W2024060531","https://openalex.org/W2031206357","https://openalex.org/W2033590892","https://openalex.org/W2035409768","https://openalex.org/W2089458547","https://openalex.org/W2090891622","https://openalex.org/W2098509290","https://openalex.org/W2100495367","https://openalex.org/W2109469951","https://openalex.org/W2124209874","https://openalex.org/W2127048411","https://openalex.org/W2134737843","https://openalex.org/W2138399168","https://openalex.org/W2154851992","https://openalex.org/W2161455936","https://openalex.org/W2187089797","https://openalex.org/W2564084673","https://openalex.org/W2585256380","https://openalex.org/W2607500032","https://openalex.org/W2612872092","https://openalex.org/W2751817935","https://openalex.org/W2808839959","https://openalex.org/W2950577311","https://openalex.org/W2962756421","https://openalex.org/W2963460103","https://openalex.org/W3100330855","https://openalex.org/W3102641634","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W4232932184","https://openalex.org/W4293651439","https://openalex.org/W6636510571","https://openalex.org/W6744557953"],"related_works":["https://openalex.org/W4254879869","https://openalex.org/W3022576529","https://openalex.org/W2628526247","https://openalex.org/W2596401011","https://openalex.org/W2913569734","https://openalex.org/W4401519790","https://openalex.org/W2702570413","https://openalex.org/W3127229356","https://openalex.org/W2901284887","https://openalex.org/W2294604808"],"abstract_inverted_index":{"Most":[0],"of":[1,86,90,105,156,161],"existing":[2],"community":[3],"detection":[4],"algorithms":[5],"group":[6],"nodes":[7,74],"with":[8,20,102],"more":[9,18],"connections":[10],"into":[11],"the":[12,23,26,39,73,77,80,84,87,94,103,106,112,121,134,142,146,153],"same":[13],"community,":[14],"and":[15,49,83,93,136,139,163],"they":[16,36,58],"are":[17,32,59],"concerned":[19],"links":[21],"within":[22],"community.":[24],"However,":[25],"weak":[27,55,122,157],"ties":[28,123,158],"between":[29,41],"different":[30,42],"communities":[31],"also":[33],"important,":[34],"because":[35],"can":[37,124],"reflect":[38],"relationships":[40],"communities,":[43],"including":[44,79],"helpful,":[45],"friendly":[46],"or":[47],"negative,":[48],"adverse.":[50],"Few":[51],"studies":[52],"focus":[53],"on":[54,72,133],"ties,":[56],"although":[57],"important.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"propose":[65],"a":[66,116],"novel":[67],"sign":[68,154],"prediction":[69,155],"model":[70,110,144],"based":[71],"features":[75,104],"in":[76,152,159],"network,":[78],"Jaccard":[81],"similarity":[82],"ratio":[85],"negative":[88],"degrees":[89],"all":[91],"nodes,":[92],"autoencoder":[95],"technology":[96],"that":[97,120,141],"self-defines":[98],"its":[99],"loss":[100],"function":[101],"communities.":[107],"The":[108],"proposed":[109,143],"maps":[111],"original":[113],"network":[114],"to":[115],"low-dimensional":[117,128],"space":[118],"so":[119],"be":[125],"represented":[126],"by":[127],"vectors.":[129],"We":[130],"conduct":[131],"experiments":[132],"Epinions":[135],"Slashdot":[137],"datasets":[138],"find":[140],"outperforms":[145],"challenging":[147],"state-of-the-art":[148],"graph":[149],"embedding":[150],"methods":[151],"terms":[160],"accuracy":[162],"F1":[164],"score":[165],"measurement.":[166]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}