{"id":"https://openalex.org/W4402352009","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651294","title":"MMCasN: Macroscopic and microscopic properties fusion for predicting information cascades","display_name":"MMCasN: Macroscopic and microscopic properties fusion for predicting information cascades","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352009","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651294"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651294","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5006143646","display_name":"Hongyun Cai","orcid":"https://orcid.org/0009-0000-1750-3040"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyun Cai","raw_affiliation_strings":["Hebei University,School of Cyber Security and Computer,Baoding,Hebei,China,071000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei University,School of Cyber Security and Computer,Baoding,Hebei,China,071000","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100938819","display_name":"Chuan Feng","orcid":"https://orcid.org/0000-0001-6268-5066"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Feng","raw_affiliation_strings":["Hebei University,School of Cyber Security and Computer,Baoding,Hebei,China,071000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei University,School of Cyber Security and Computer,Baoding,Hebei,China,071000","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043260811","display_name":"Ao Zhao","orcid":"https://orcid.org/0009-0009-3835-1870"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Zhao","raw_affiliation_strings":["Hebei University,School of Cyber Security and Computer,Baoding,Hebei,China,071000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei University,School of Cyber Security and Computer,Baoding,Hebei,China,071000","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115604980","display_name":"Xun Li","orcid":"https://orcid.org/0009-0005-0493-5780"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Li","raw_affiliation_strings":["Hebei University,School of Cyber Security and Computer,Baoding,Hebei,China,071000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei University,School of Cyber Security and Computer,Baoding,Hebei,China,071000","institution_ids":["https://openalex.org/I43337087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43337087"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965000152587891,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.638717770576477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4145764112472534},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.34661948680877686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3204324245452881},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.052610576152801514}],"concepts":[{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.638717770576477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4145764112472534},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.34661948680877686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3204324245452881},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.052610576152801514},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651294","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324851","display_name":"Hebei University","ror":"https://ror.org/01p884a79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1829018870","https://openalex.org/W2149260218","https://openalex.org/W2154851992","https://openalex.org/W2489369235","https://openalex.org/W2551441958","https://openalex.org/W2576342652","https://openalex.org/W2740189214","https://openalex.org/W2765417513","https://openalex.org/W2767220239","https://openalex.org/W2903664715","https://openalex.org/W2951851909","https://openalex.org/W2952395191","https://openalex.org/W2965635372","https://openalex.org/W3001111845","https://openalex.org/W3104097132","https://openalex.org/W3133932448","https://openalex.org/W3212331806","https://openalex.org/W4200012112","https://openalex.org/W4200633896","https://openalex.org/W4220766987","https://openalex.org/W4220967612","https://openalex.org/W4223526979","https://openalex.org/W4225410874","https://openalex.org/W4281653831","https://openalex.org/W4294558607","https://openalex.org/W4323644191","https://openalex.org/W4377018683","https://openalex.org/W4385988053","https://openalex.org/W4386865408","https://openalex.org/W6738964360"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4402299999","https://openalex.org/W4246450666","https://openalex.org/W4388998267","https://openalex.org/W2898370298","https://openalex.org/W2137437058","https://openalex.org/W2884249467","https://openalex.org/W4390401159","https://openalex.org/W2744391499"],"abstract_inverted_index":{"Information":[0,73],"cascade":[1,30,51,60,86,119],"plays":[2],"an":[3],"important":[4],"role":[5],"in":[6,24],"today\u2019s":[7],"social":[8],"networks":[9],"and":[10,22,44,68,132],"complex":[11],"systems.":[12],"Predicting":[13,72],"the":[14,40,45,49,84,96],"growth":[15],"of":[16,42,48],"cascades":[17,43],"can":[18,88],"help":[19],"people":[20],"understand":[21],"intervene":[23],"cascading":[25],"processes.":[26],"Existing":[27],"methods":[28,148],"for":[29,71,101,138],"prediction":[31,61,156],"mainly":[32],"focus":[33],"on":[34,95,149],"extracting":[35],"local":[36],"node":[37],"features,":[38],"ignoring":[39],"dynamics":[41],"macroscopic":[46],"characteristics":[47],"overall":[50],"structure.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"propose":[57],"a":[58,122,133],"novel":[59],"method":[62],"named":[63],"MMCasN":[64,144],"(a":[65],"Fusion":[66],"Macroscopic":[67],"Microscopic":[69],"Properties":[70],"Cascades":[74],"Network)":[75],"by":[76],"combining":[77],"micro-level":[78,104],"features":[79,105,116,127],"with":[80],"macro-level":[81,115],"features.":[82],"Firstly,":[83],"information":[85],"graph":[87],"be":[89],"divided":[90],"into":[91],"multiple":[92],"snapshots":[93],"based":[94],"predefined":[97],"time":[98,126],"window.":[99],"Then,":[100],"each":[102],"snapshot,":[103],"are":[106,128],"extracted":[107,129],"using":[108,121,130],"GraphSage":[109],"to":[110],"capture":[111],"node-level":[112],"characteristics,":[113],"while":[114],"handle":[117],"uncertain":[118],"sizes":[120],"mapping":[123],"approach.":[124],"Furthermore,":[125],"Bi-LSTM,":[131],"multi-layer":[134],"perceptron":[135],"is":[136],"employed":[137],"prediction.":[139],"Experimental":[140],"results":[141],"demonstrate":[142],"that":[143],"outperforms":[145],"other":[146],"baseline":[147],"two":[150],"real-world":[151],"datasets,":[152],"exhibiting":[153],"more":[154],"superior":[155],"performance.":[157]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}