{"id":"https://openalex.org/W4312946826","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892786","title":"MSIDP: Multi-scale Information Diffusion Prediction with Timestamp Information and Wide Dispersion","display_name":"MSIDP: Multi-scale Information Diffusion Prediction with Timestamp Information and Wide Dispersion","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312946826","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892786"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892786","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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/A5112856904","display_name":"Shaokai Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaokai Xu","raw_affiliation_strings":["School of information science and engineering, Yunnan University,Kunming,China","School of information science and engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of information science and engineering, Yunnan University,Kunming,China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"School of information science and engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653521","display_name":"Lihua Zhou","orcid":"https://orcid.org/0000-0002-8940-1155"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Zhou","raw_affiliation_strings":["School of information science and engineering, Yunnan University,Kunming,China","School of information science and engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of information science and engineering, Yunnan University,Kunming,China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"School of information science and engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031205173","display_name":"Jianfeng Xu","orcid":"https://orcid.org/0000-0002-1343-8752"},"institutions":[{"id":"https://openalex.org/I2800517447","display_name":"Guangzhou Academy of Fine Arts","ror":"https://ror.org/044my7157","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800517447"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Xu","raw_affiliation_strings":["School of innovation design, Guangzhou Academy of Fine Arts,Guangzhou,China","School of innovation design, Guangzhou Academy of Fine Arts, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of innovation design, Guangzhou Academy of Fine Arts,Guangzhou,China","institution_ids":["https://openalex.org/I2800517447"]},{"raw_affiliation_string":"School of innovation design, Guangzhou Academy of Fine Arts, Guangzhou, China","institution_ids":["https://openalex.org/I2800517447"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669732","display_name":"Lizhen Wang","orcid":"https://orcid.org/0000-0003-2214-2299"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhen Wang","raw_affiliation_strings":["School of information science and engineering, Yunnan University,Kunming,China","School of information science and engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of information science and engineering, Yunnan University,Kunming,China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"School of information science and engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100358456","display_name":"Hongmei Chen","orcid":"https://orcid.org/0000-0002-4054-3654"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmei Chen","raw_affiliation_strings":["School of information science and engineering, Yunnan University,Kunming,China","School of information science and engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"School of information science and engineering, Yunnan University,Kunming,China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"School of information science and engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5112856904"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":0.5826,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68895012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9986000061035156,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.9070296287536621},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7723066806793213},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.7306509017944336},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5525064468383789},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5178413987159729},{"id":"https://openalex.org/keywords/dispersion","display_name":"Dispersion (optics)","score":0.5153110027313232},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3445696532726288}],"concepts":[{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.9070296287536621},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7723066806793213},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.7306509017944336},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5525064468383789},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5178413987159729},{"id":"https://openalex.org/C177562468","wikidata":"https://www.wikidata.org/wiki/Q182893","display_name":"Dispersion (optics)","level":2,"score":0.5153110027313232},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3445696532726288},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892786","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6124819665","display_name":null,"funder_award_id":"62062066,61762090,61966036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6317814664","display_name":null,"funder_award_id":"2021Y026","funder_id":"https://openalex.org/F4320324734","funder_display_name":"Yunnan Provincial Department of Education"},{"id":"https://openalex.org/G6413369274","display_name":null,"funder_award_id":"2021Y024","funder_id":"https://openalex.org/F4320324731","funder_display_name":"Yunnan University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324731","display_name":"Yunnan University","ror":"https://ror.org/0040axw97"},{"id":"https://openalex.org/F4320324734","display_name":"Yunnan Provincial Department of Education","ror":"https://ror.org/02yrxdp92"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1095970959","https://openalex.org/W1533861849","https://openalex.org/W1973956316","https://openalex.org/W2037970810","https://openalex.org/W2038433549","https://openalex.org/W2127492100","https://openalex.org/W2339300445","https://openalex.org/W2551441958","https://openalex.org/W2740189214","https://openalex.org/W2767220239","https://openalex.org/W2795034086","https://openalex.org/W2798822070","https://openalex.org/W2897605361","https://openalex.org/W2897665519","https://openalex.org/W2897757923","https://openalex.org/W2897862648","https://openalex.org/W2905759590","https://openalex.org/W2907927214","https://openalex.org/W2952395191","https://openalex.org/W2954973878","https://openalex.org/W2963241825","https://openalex.org/W2963493749","https://openalex.org/W2965635372","https://openalex.org/W2966382042","https://openalex.org/W2982279682","https://openalex.org/W2983067441","https://openalex.org/W2997128522","https://openalex.org/W3001111845","https://openalex.org/W3002293096","https://openalex.org/W3012995543","https://openalex.org/W3028571922","https://openalex.org/W3104010597","https://openalex.org/W3104249938","https://openalex.org/W3111924053","https://openalex.org/W3125952634","https://openalex.org/W3133932448","https://openalex.org/W3155747292","https://openalex.org/W3171349000","https://openalex.org/W4385245566","https://openalex.org/W6757083290","https://openalex.org/W6775671451","https://openalex.org/W6787445650"],"related_works":["https://openalex.org/W2060561905","https://openalex.org/W1417711376","https://openalex.org/W1986883493","https://openalex.org/W2469862403","https://openalex.org/W2166378262","https://openalex.org/W4379524643","https://openalex.org/W2035891203","https://openalex.org/W2367807705","https://openalex.org/W2011027677","https://openalex.org/W3029152356"],"abstract_inverted_index":{"Information":[0,115],"diffusion":[1,17,60,70,75,93,105,126,158],"prediction":[2,18,55],"is":[3,19],"an":[4],"important":[5,67],"task":[6],"which":[7,29],"studies":[8],"how":[9],"information":[10,16,27,62,68,125,131,159],"items":[11],"spread":[12],"among":[13],"users.":[14],"Generally,":[15],"divided":[20],"into":[21],"microscopic,":[22],"macroscopic,":[23],"and":[24,77,91,123,132,151],"unified":[25,49],"multi-scale":[26],"prediction,":[28,71],"aims":[30],"to":[31,140],"predict":[32],"the":[33,37,44,53,59,73,78,84,92,96,99,143,148,152,170],"next":[34],"influenced":[35,41,103],"user,":[36],"total":[38],"number":[39],"of":[40,63,87,102,145,172,183],"users,":[42],"or":[43],"above":[45],"two":[46,66,184],"within":[47],"a":[48,112,134],"framework,":[50],"respectively.":[51],"However,":[52],"existing":[54],"models":[56],"just":[57],"adopted":[58],"sequences":[61],"cascades,":[64],"ignoring":[65],"for":[69,120],"i.e.":[72],"specific":[74],"timestamp":[76,130],"wide":[79,153],"dispersion.":[80],"The":[81],"former":[82],"contains":[83],"dynamic":[85],"changes":[86],"users'":[88],"repost":[89],"preferences":[90],"rate,":[94],"while":[95],"latter":[97],"reflects":[98],"user's":[100],"aggregation":[101],"along":[104],"paths.":[106],"In":[107],"this":[108],"paper,":[109],"we":[110],"propose":[111],"novel":[113],"Multi-Scale":[114],"Diffusion":[116],"Prediction":[117],"model":[118,175],"(MSIDP)":[119],"predicting":[121],"microscopic":[122],"macroscopic":[124],"simultaneously.":[127],"MSIDP":[128],"encodes":[129],"designs":[133],"bidirectional":[135],"graph":[136],"convolutional":[137],"network":[138],"(BGCN)":[139],"jointly":[141],"learn":[142],"representations":[144],"users":[146],"from":[147],"deep":[149],"propagation":[150],"dispersion,":[154],"such":[155],"that":[156],"more":[157],"can":[160],"be":[161],"captured.":[162],"Extensive":[163],"experiments":[164],"on":[165],"three":[166],"real":[167],"datasets":[168],"demonstrate":[169],"effectiveness":[171],"our":[173],"proposed":[174],"compared":[176],"with":[177],"11":[178],"baseline":[179],"algorithms":[180],"in":[181],"terms":[182],"evaluation":[185],"metrics.":[186]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
