{"id":"https://openalex.org/W2612735401","doi":"https://doi.org/10.1145/3035918.3035924","title":"Debunking the Myths of Influence Maximization","display_name":"Debunking the Myths of Influence Maximization","publication_year":2017,"publication_date":"2017-05-09","ids":{"openalex":"https://openalex.org/W2612735401","doi":"https://doi.org/10.1145/3035918.3035924","mag":"2612735401"},"language":"en","primary_location":{"id":"doi:10.1145/3035918.3035924","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3035918.3035924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM International Conference on Management of Data","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/A5075314395","display_name":"Akhil Arora","orcid":"https://orcid.org/0000-0001-6073-6528"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akhil Arora","raw_affiliation_strings":["Xerox Research Centre India, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xerox Research Centre India, Bangalore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038532934","display_name":"Sainyam Galhotra","orcid":"https://orcid.org/0000-0003-2529-4036"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sainyam Galhotra","raw_affiliation_strings":["University of Massachusetts, Amherst, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054697900","display_name":"Sayan Ranu","orcid":"https://orcid.org/0000-0003-4147-9372"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sayan Ranu","raw_affiliation_strings":["Indian Institute of Technology, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":125,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"651","last_page":"666"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/benchmarking","display_name":"Benchmarking","score":0.9685862064361572},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.7892400026321411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7361672520637512},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5670356750488281},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5182371139526367},{"id":"https://openalex.org/keywords/open-research","display_name":"Open research","score":0.4777987599372864},{"id":"https://openalex.org/keywords/mythology","display_name":"Mythology","score":0.4324982464313507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3701549172401428},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.35390934348106384},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16092801094055176},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10547319054603577},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.07017207145690918}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.9685862064361572},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.7892400026321411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7361672520637512},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5670356750488281},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5182371139526367},{"id":"https://openalex.org/C2778464652","wikidata":"https://www.wikidata.org/wiki/Q309849","display_name":"Open research","level":2,"score":0.4777987599372864},{"id":"https://openalex.org/C519517224","wikidata":"https://www.wikidata.org/wiki/Q12827256","display_name":"Mythology","level":2,"score":0.4324982464313507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3701549172401428},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.35390934348106384},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16092801094055176},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10547319054603577},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.07017207145690918},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3035918.3035924","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3035918.3035924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W136235603","https://openalex.org/W1680189815","https://openalex.org/W1854214752","https://openalex.org/W1953381612","https://openalex.org/W1984069252","https://openalex.org/W1984630650","https://openalex.org/W1990570693","https://openalex.org/W1991635064","https://openalex.org/W2035165116","https://openalex.org/W2052849329","https://openalex.org/W2061820396","https://openalex.org/W2073926352","https://openalex.org/W2108278206","https://openalex.org/W2108858998","https://openalex.org/W2114823287","https://openalex.org/W2132801025","https://openalex.org/W2139430401","https://openalex.org/W2141403143","https://openalex.org/W2145287244","https://openalex.org/W2147318892","https://openalex.org/W2166470254","https://openalex.org/W2272988256","https://openalex.org/W2396832258","https://openalex.org/W2611804663","https://openalex.org/W2962773920","https://openalex.org/W2963122331","https://openalex.org/W3104548765","https://openalex.org/W3118655244","https://openalex.org/W4291719230","https://openalex.org/W4301207233","https://openalex.org/W6639055396"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2011676020","https://openalex.org/W2329895846"],"abstract_inverted_index":{"Influence":[0],"maximization":[1],"(IM)":[2],"on":[3,35,50,71],"social":[4,72],"networks":[5],"is":[6,137,148],"one":[7,156],"of":[8,13,68,106,121,131,151],"the":[9,24,30,87,103,107,112,149,152],"most":[10],"active":[11],"areas":[12],"research":[14],"in":[15,40,57,115,142,154],"computer":[16],"science.":[17],"While":[18],"various":[19],"IM":[20,69,116],"techniques":[21,37,70,89],"proposed":[22],"over":[23],"last":[25],"decade":[26,120],"have":[27],"definitely":[28],"enriched":[29],"field,":[31],"unfortunately,":[32],"experimental":[33,95],"reports":[34],"existing":[36,88,108],"fall":[38],"short":[39],"validity":[41],"and":[42,85,91,101,110,127,133],"integrity":[43],"since":[44],"many":[45],"comparisons":[46],"are":[47],"not":[48],"based":[49],"a":[51,77,119,129,146],"common":[52],"platform":[53],"or":[54],"merely":[55],"discussed":[56],"theory.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62,75,125],"perform":[63],"an":[64],"in-depth":[65],"benchmarking":[66,78,98],"study":[67],"networks.":[73],"Specifically,":[74],"design":[76],"platform,":[79],"which":[80],"enables":[81],"us":[82],"to":[83],"evaluate":[84],"compare":[86],"systematically":[90],"thoroughly":[92],"under":[93],"identical":[94],"conditions.":[96],"Our":[97],"results":[99],"analyze":[100],"diagnose":[102],"inherent":[104],"deficiencies":[105],"approaches":[109],"surface":[111],"open":[113],"challenges":[114],"even":[117],"after":[118],"research.":[122],"More":[123],"fundamentally,":[124],"unearth":[126],"debunk":[128],"series":[130],"myths":[132],"establish":[134],"that":[135],"there":[136],"no":[138],"single":[139],"state-of-the-art":[140],"technique":[141,147],"IM.":[143],"At":[144],"best,":[145],"state":[150],"art":[153],"only":[155],"aspect.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":23},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}