{"id":"https://openalex.org/W2618229550","doi":"https://doi.org/10.1145/3159652.3159705","title":"Who Will Share My Image?","display_name":"Who Will Share My Image?","publication_year":2018,"publication_date":"2018-02-02","ids":{"openalex":"https://openalex.org/W2618229550","doi":"https://doi.org/10.1145/3159652.3159705","mag":"2618229550"},"language":"en","primary_location":{"id":"doi:10.1145/3159652.3159705","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3159652.3159705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087574818","display_name":"Wenjian Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenjian Hu","raw_affiliation_strings":["University of California, Davis, Davis, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082091356","display_name":"Krishna Kumar Singh","orcid":"https://orcid.org/0000-0003-3849-5945"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krishna Kumar Singh","raw_affiliation_strings":["University of California, Davis, Davis, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064761222","display_name":"Fanyi Xiao","orcid":"https://orcid.org/0000-0002-9839-1139"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fanyi Xiao","raw_affiliation_strings":["University of California, Davis, Davis, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012872041","display_name":"Jinyoung Han","orcid":"https://orcid.org/0000-0002-8911-2791"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinyoung Han","raw_affiliation_strings":["Hanyang University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017383502","display_name":"Chen\u2010Nee Chuah","orcid":"https://orcid.org/0000-0002-2772-387X"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen-Nee Chuah","raw_affiliation_strings":["University of California, Davis, Davis, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112702739","display_name":"Yong Jae Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Jae Lee","raw_affiliation_strings":["University of California, Davis, Davis, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5087574818"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":2.413,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88874193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"252","last_page":"260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9977999925613403,"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":0.9977999925613403,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9976000189781189,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/popularity","display_name":"Popularity","score":0.8532097935676575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8182145357131958},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.703131377696991},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6487876176834106},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6295166015625},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5847415924072266},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5813429951667786},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.552534282207489},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5168876647949219},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5008952617645264},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.47099655866622925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45930397510528564},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.41542285680770874},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36786532402038574},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32845306396484375},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32623642683029175},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.26362383365631104},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10361185669898987}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.8532097935676575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8182145357131958},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.703131377696991},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6487876176834106},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6295166015625},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5847415924072266},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5813429951667786},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.552534282207489},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5168876647949219},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5008952617645264},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.47099655866622925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45930397510528564},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.41542285680770874},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36786532402038574},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32845306396484375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32623642683029175},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.26362383365631104},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10361185669898987},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3159652.3159705","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3159652.3159705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320321142","display_name":"Hanyang University","ror":"https://ror.org/046865y68"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W1508856789","https://openalex.org/W1879966306","https://openalex.org/W1895577753","https://openalex.org/W1895989618","https://openalex.org/W1905882502","https://openalex.org/W1934250397","https://openalex.org/W1944367023","https://openalex.org/W1947481528","https://openalex.org/W1976811884","https://openalex.org/W1996263819","https://openalex.org/W2001344462","https://openalex.org/W2027135291","https://openalex.org/W2029535444","https://openalex.org/W2037933327","https://openalex.org/W2039355801","https://openalex.org/W2049185623","https://openalex.org/W2064675550","https://openalex.org/W2065735564","https://openalex.org/W2069143585","https://openalex.org/W2074188527","https://openalex.org/W2090059852","https://openalex.org/W2101108259","https://openalex.org/W2107569009","https://openalex.org/W2107878631","https://openalex.org/W2127267264","https://openalex.org/W2127434196","https://openalex.org/W2136848157","https://openalex.org/W2147568880","https://openalex.org/W2156716308","https://openalex.org/W2171410332","https://openalex.org/W2171928131","https://openalex.org/W2172765159","https://openalex.org/W2254252455","https://openalex.org/W2512423865","https://openalex.org/W2618530766","https://openalex.org/W2962756421","https://openalex.org/W2962835968","https://openalex.org/W2963355447","https://openalex.org/W2964289395","https://openalex.org/W3098234360","https://openalex.org/W3098684887","https://openalex.org/W3104987177","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2372020181","https://openalex.org/W2156531654","https://openalex.org/W4378714697","https://openalex.org/W1581723585","https://openalex.org/W2294330161","https://openalex.org/W2804553224","https://openalex.org/W2253069048","https://openalex.org/W140709781","https://openalex.org/W2940472653","https://openalex.org/W2030628044"],"abstract_inverted_index":{"Content":[0],"popularity":[1,35],"prediction":[2],"has":[3],"been":[4],"extensively":[5],"studied":[6],"due":[7],"to":[8,62,109,127,134],"its":[9],"importance":[10],"and":[11,16,26,81,84,151],"interest":[12],"for":[13],"both":[14],"users":[15,126,136],"hosts":[17],"of":[18,45,69,103,147],"social":[19,74,79,118],"media":[20],"sites":[21],"like":[22],"Facebook,":[23],"Instagram,":[24],"Twitter,":[25],"Pinterest.":[27],"However,":[28],"existing":[29],"work":[30],"mainly":[31],"focuses":[32],"on":[33],"modeling":[34],"using":[36],"a":[37,55,73],"single":[38],"metric":[39],"such":[40],"as":[41],"the":[42,65,86,100,154],"total":[43],"number":[44],"likes":[46],"or":[47,117,120],"shares.":[48],"In":[49],"this":[50],"work,":[51],"we":[52,142],"propose":[53],"Diffusion-LSTM,":[54],"memory-based":[56],"deep":[57],"recurrent":[58],"network":[59],"that":[60,112,153],"learns":[61],"recursively":[63],"predict":[64],"entire":[66],"diffusion":[67,87,101,149],"path":[68,88,102],"an":[70,93,104],"image":[71,82,105,116],"through":[72],"network.":[75],"By":[76,123],"combining":[77],"user":[78,128],"features":[80],"features,":[83,119],"encoding":[85],"taken":[89],"thus":[90],"far":[91],"with":[92],"explicit":[94],"memory":[95],"cell,":[96],"our":[97,130,144],"model":[98,131],"predicts":[99],"more":[106],"accurately":[107],"compared":[108],"alternate":[110],"baselines":[111],"either":[113],"encode":[114],"only":[115],"lack":[121],"memory.":[122],"mapping":[124],"individual":[125],"prototypes,":[129],"can":[132],"generalize":[133],"new":[135],"not":[137],"seen":[138],"during":[139],"training.":[140],"Finally,":[141],"demonstrate":[143],"model\u00bbs":[145],"capability":[146],"generating":[148],"trees,":[150],"show":[152],"generated":[155],"trees":[156],"closely":[157],"resemble":[158],"ground-truth":[159],"trees.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}