{"id":"https://openalex.org/W3209334456","doi":"https://doi.org/10.1145/3486622.3493953","title":"Efficient Representation of Interaction Patterns with Hyperbolic Hierarchical Clustering for Classification of Users on Twitter","display_name":"Efficient Representation of Interaction Patterns with Hyperbolic Hierarchical Clustering for Classification of Users on Twitter","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W3209334456","doi":"https://doi.org/10.1145/3486622.3493953","mag":"3209334456"},"language":"en","primary_location":{"id":"doi:10.1145/3486622.3493953","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486622.3493953","pdf_url":null,"source":{"id":"https://openalex.org/S4363608074","display_name":"IEEE/WIC/ACM International Conference on Web Intelligence","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":"IEEE/WIC/ACM International Conference on Web Intelligence","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/A5060134752","display_name":"Tanvi Karandikar","orcid":null},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Tanvi Karandikar","raw_affiliation_strings":["International Institute of Information Technology, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024798957","display_name":"Avinash Prabhu","orcid":null},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Avinash Prabhu","raw_affiliation_strings":["International Institute of Information Technology, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079120401","display_name":"Avinash Tulasi","orcid":null},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Avinash Tulasi","raw_affiliation_strings":["Indraprastha Institute of Information Technology, Delhi, India"],"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology, Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014100784","display_name":"Arun Balaji Buduru","orcid":"https://orcid.org/0000-0002-6267-8138"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arun Balaji Buduru","raw_affiliation_strings":["Indraprastha Institute of Information Technology, Delhi, India"],"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology, Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077509916","display_name":"Ponnurangam Kumaraguru","orcid":"https://orcid.org/0000-0001-5082-2078"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ponnurangam Kumaraguru","raw_affiliation_strings":["International Institute of Information Technology, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060134752"],"corresponding_institution_ids":["https://openalex.org/I64189192"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16952668,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"112","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9991999864578247,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9991999864578247,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9987999796867371,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9983000159263611,"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/popularity","display_name":"Popularity","score":0.8715153932571411},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6659303307533264},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6385868191719055},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6168165802955627},{"id":"https://openalex.org/keywords/democracy","display_name":"Democracy","score":0.5514430403709412},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5456333160400391},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.534964382648468},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5279832482337952},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4679405093193054},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4409264624118805},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3495756685733795},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.34782326221466064},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.30803126096725464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2784161865711212},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.15507733821868896},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1326567828655243}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.8715153932571411},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6659303307533264},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6385868191719055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6168165802955627},{"id":"https://openalex.org/C555826173","wikidata":"https://www.wikidata.org/wiki/Q7174","display_name":"Democracy","level":3,"score":0.5514430403709412},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5456333160400391},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.534964382648468},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5279832482337952},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4679405093193054},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4409264624118805},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3495756685733795},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.34782326221466064},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.30803126096725464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2784161865711212},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.15507733821868896},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1326567828655243},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3486622.3493953","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486622.3493953","pdf_url":null,"source":{"id":"https://openalex.org/S4363608074","display_name":"IEEE/WIC/ACM International Conference on Web Intelligence","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":"IEEE/WIC/ACM International Conference on Web Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W354985922","https://openalex.org/W1850562331","https://openalex.org/W1993329468","https://openalex.org/W2026534944","https://openalex.org/W2062612824","https://openalex.org/W2082891496","https://openalex.org/W2148143831","https://openalex.org/W2299805819","https://openalex.org/W2489172980","https://openalex.org/W2489487449","https://openalex.org/W2512157846","https://openalex.org/W2600104069","https://openalex.org/W2618798060","https://openalex.org/W2621008736","https://openalex.org/W2775696384","https://openalex.org/W2792614909","https://openalex.org/W2804336975","https://openalex.org/W2807371872","https://openalex.org/W2895817984","https://openalex.org/W2948646817","https://openalex.org/W2948988818","https://openalex.org/W2962918699","https://openalex.org/W2962936818","https://openalex.org/W2963464664","https://openalex.org/W2964109691","https://openalex.org/W2964311827","https://openalex.org/W2999901108","https://openalex.org/W3034992133","https://openalex.org/W3035102141","https://openalex.org/W3081991753","https://openalex.org/W3083305429","https://openalex.org/W3094452049","https://openalex.org/W3096588269","https://openalex.org/W3103283534","https://openalex.org/W3105733653","https://openalex.org/W3121843938","https://openalex.org/W3124284717","https://openalex.org/W3126051451","https://openalex.org/W3155283298"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W4391160746","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241"],"abstract_inverted_index":{"Social":[0],"media":[1],"platforms":[2],"play":[3],"an":[4],"important":[5],"role":[6],"in":[7,156,174,200,244,264],"democratic":[8,107],"processes.":[9,108],"During":[10],"the":[11,68,75,91,94,100,135,141,154,157,167,201,204,211,217,221,229,234,238],"2019":[12,205],"General":[13,206],"Elections":[14,207],"of":[15,49,77,93,106,143,170,196,203,208,220,228,240,271],"India,":[16],"political":[17],"parties":[18],"and":[19,31,42,226,258],"politicians":[20,41],"widely":[21],"used":[22],"Twitter":[23,34,215],"to":[24,44,73,90,102,130,139,160,191],"share":[25],"their":[26,29],"ideals,":[27],"advocate":[28],"agenda":[30],"gain":[32],"popularity.":[33],"served":[35],"as":[36,96,182],"a":[37,88,114,175,183],"ground":[38],"for":[39],"journalists,":[40],"voters":[43],"interact.":[45],"The":[46],"organic":[47],"nature":[48],"these":[50,172,189],"interactions":[51,86],"can":[52],"be":[53],"upended":[54],"by":[55,79],"malicious":[56],"accounts":[57,71],"on":[58,214],"Twitter,":[59],"which":[60,118,152],"end":[61],"up":[62],"being":[63],"suspended":[64,225,253,256],"or":[65],"deleted":[66,232,259],"from":[67,233],"platform.":[69,235],"Such":[70],"aim":[72],"modify":[74],"reach":[76],"content":[78,142],"inorganically":[80],"interacting":[81],"with":[82],"particular":[83,144],"handles.":[84],"These":[85],"are":[87,128],"threat":[89],"integrity":[92],"platform,":[95],"such":[97,163],"activity":[98],"has":[99],"potential":[101],"affect":[103],"entire":[104],"results":[105],"In":[109],"this":[110],"work,":[111],"we":[112,267],"design":[113],"feature":[115],"extraction":[116],"framework":[117],"compactly":[119],"captures":[120],"potentially":[121],"insidious":[122],"interaction":[123],"patterns.":[124],"Our":[125],"proposed":[126,242],"features":[127,155,173,190,243],"designed":[129],"bring":[131],"out":[132],"communities":[133],"amongst":[134],"users":[136,197,212,222,230,248,257],"that":[137,198],"work":[138],"boost":[140],"accounts.":[145],"We":[146,187,236],"use":[147,188],"Hyperbolic":[148],"Hierarchical":[149],"Clustering":[150],"(HypHC)":[151],"represents":[153],"hyperbolic":[158],"manifold":[159],"further":[161],"separate":[162],"communities.":[164],"HypHC":[165,263],"gives":[166],"added":[168],"benefit":[169],"representing":[171],"lower":[176],"dimensional":[177],"space":[178],"\u2013":[179],"thus":[180],"serving":[181],"dimensionality":[184],"reduction":[185],"technique.":[186],"distinguish":[192],"between":[193,246],"different":[194],"classes":[195],"emerged":[199],"aftermath":[202],"India.":[209],"Amongst":[210],"active":[213],"during":[216],"elections,":[218],"2.8%":[219],"participating":[223],"were":[224,231,251],"1%":[227],"demonstrate":[237],"effectiveness":[239],"our":[241,265],"differentiating":[245],"regular":[247],"(users":[249],"who":[250],"neither":[252],"nor":[254],"deleted),":[255],"users.":[260],"By":[261],"leveraging":[262],"pipeline,":[266],"obtain":[268],"F1":[269],"scores":[270],"upto":[272],"93%.":[273]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
