{"id":"https://openalex.org/W2057606718","doi":"https://doi.org/10.1145/2778865.2778873","title":"A City Traffic Dashboard using Social Network Data","display_name":"A City Traffic Dashboard using Social Network Data","publication_year":2015,"publication_date":"2015-03-20","ids":{"openalex":"https://openalex.org/W2057606718","doi":"https://doi.org/10.1145/2778865.2778873","mag":"2057606718"},"language":"en","primary_location":{"id":"doi:10.1145/2778865.2778873","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2778865.2778873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd IKDD Conference on Data Sciences","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/A5046803404","display_name":"Apurva Pathak","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162141","display_name":"Microsoft (India)","ror":"https://ror.org/04ww0w091","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210162141"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Apurva Pathak","raw_affiliation_strings":["Microsoft R &amp; D Pvt. Ltd., Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Microsoft R &amp; D Pvt. Ltd., Hyderabad, India","institution_ids":["https://openalex.org/I4210162141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042254428","display_name":"Bidyut Kr. Patra","orcid":"https://orcid.org/0000-0003-3012-4285"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bidyut Kr. Patra","raw_affiliation_strings":["NIT Rourkela, Rourkela, India","[NIT Rourkela Rourkela, India]"],"affiliations":[{"raw_affiliation_string":"NIT Rourkela, Rourkela, India","institution_ids":["https://openalex.org/I16292982"]},{"raw_affiliation_string":"[NIT Rourkela Rourkela, India]","institution_ids":["https://openalex.org/I16292982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090016228","display_name":"Arnab Chakraborty","orcid":"https://orcid.org/0000-0002-1763-7249"},"institutions":[{"id":"https://openalex.org/I4210162141","display_name":"Microsoft (India)","ror":"https://ror.org/04ww0w091","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210162141"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arnab Chakraborty","raw_affiliation_strings":["Microsoft R &amp; D Pvt. Ltd., Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Microsoft R &amp; D Pvt. Ltd., Hyderabad, India","institution_ids":["https://openalex.org/I4210162141"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009504931","display_name":"Abhishek Agarwal","orcid":"https://orcid.org/0000-0001-6618-594X"},"institutions":[{"id":"https://openalex.org/I4210162141","display_name":"Microsoft (India)","ror":"https://ror.org/04ww0w091","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210162141"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhishek Agarwal","raw_affiliation_strings":["Microsoft R &amp; D Pvt. Ltd., Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Microsoft R &amp; D Pvt. Ltd., Hyderabad, India","institution_ids":["https://openalex.org/I4210162141"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046803404"],"corresponding_institution_ids":["https://openalex.org/I4210162141"],"apc_list":null,"apc_paid":null,"fwci":1.8906,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86193597,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9925000071525574,"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":0.9922999739646912,"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/computer-science","display_name":"Computer science","score":0.717360258102417},{"id":"https://openalex.org/keywords/dashboard","display_name":"Dashboard","score":0.685172975063324},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5063174962997437},{"id":"https://openalex.org/keywords/urbanization","display_name":"Urbanization","score":0.4888567328453064},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.42459604144096375},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.38500314950942993},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.3319892883300781},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.31011566519737244},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16517046093940735}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.717360258102417},{"id":"https://openalex.org/C33499554","wikidata":"https://www.wikidata.org/wiki/Q1417134","display_name":"Dashboard","level":2,"score":0.685172975063324},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5063174962997437},{"id":"https://openalex.org/C39853841","wikidata":"https://www.wikidata.org/wiki/Q161078","display_name":"Urbanization","level":2,"score":0.4888567328453064},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.42459604144096375},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.38500314950942993},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.3319892883300781},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.31011566519737244},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16517046093940735},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2778865.2778873","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2778865.2778873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd IKDD Conference on Data Sciences","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2098458263","https://openalex.org/W2139212933","https://openalex.org/W2600687292","https://openalex.org/W3193477162"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2392907783","https://openalex.org/W1985072978","https://openalex.org/W891751532","https://openalex.org/W2375489112","https://openalex.org/W2370838374","https://openalex.org/W2354222596","https://openalex.org/W2392291083","https://openalex.org/W2120116197","https://openalex.org/W159653547"],"abstract_inverted_index":{"With":[0],"the":[1,13,34,43,52,77,96,129,141],"growing":[2],"urbanization":[3],"and":[4,8,46,79,106,120,143],"globalization,":[5],"long":[6],"commute":[7],"traffic":[9,44,80,97,144,148],"problems":[10],"have":[11],"become":[12],"everyday":[14],"nightmare":[15],"of":[16,24,33,95],"an":[17],"Indian":[18],"metro":[19],"city":[20,35],"dweller.":[21],"The":[22],"non-existence":[23],"a":[25,83,89,136],"singular":[26],"dashboard,":[27],"which":[28],"can":[29,72,134],"provide":[30,135],"holistic":[31],"view":[32,94],"traffic,":[36],"has":[37],"aggravated":[38],"this":[39,63],"problem":[40],"manifold":[41],"for":[42,56,91,124,146],"authorities":[45,145],"its":[47],"citizens.":[48],"This":[49],"paper":[50],"describes":[51],"methodology":[53],"we":[54],"employed":[55],"CoDS":[57],"2015":[58],"Data":[59],"Challenge":[60],"to":[61,87,140],"solve":[62],"problem.":[64],"We":[65,85,116],"show":[66],"how":[67],"data":[68,98],"from":[69,128],"social":[70,109,130],"network":[71],"derive":[73],"useful":[74,126],"information":[75,127,139],"about":[76],"road":[78],"issues":[81,149],"in":[82,150],"city.":[84],"propose":[86],"design":[88],"dashboard":[90,133],"obtaining":[92],"real-time":[93],"scattered":[99],"across":[100],"various":[101,122],"user":[102],"status":[103],"updates,":[104],"tweets":[105],"comments":[107],"on":[108],"networks":[110],"using":[111],"state-of-the-art":[112],"machine":[113],"learning":[114],"algorithms.":[115],"present":[117],"empirical":[118],"results":[119],"discuss":[121],"methods":[123],"extracting":[125],"feeds.":[131],"Proposed":[132],"straight":[137],"actionable":[138],"users":[142],"handling":[147],"efficient":[151],"manner.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
