{"id":"https://openalex.org/W4230973533","doi":"https://doi.org/10.1109/asonam.2016.7752360","title":"On data collection, graph construction, and sampling in Twitter","display_name":"On data collection, graph construction, and sampling in Twitter","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W4230973533","doi":"https://doi.org/10.1109/asonam.2016.7752360"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2016.7752360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2016.7752360","pdf_url":null,"source":{"id":"https://openalex.org/S4363608003","display_name":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/biblio/1376813","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006561049","display_name":"Jeremy Wendt","orcid":"https://orcid.org/0000-0001-7581-9932"},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jeremy D. Wendt","raw_affiliation_strings":["Sandia National Laboratories, Albuquerque, New Mexico, U.S.A"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, New Mexico, U.S.A","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027811365","display_name":"Randy Wells","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Randy Wells","raw_affiliation_strings":["Sandia National Laboratories, Albuquerque, New Mexico, U.S.A"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, New Mexico, U.S.A","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103002453","display_name":"Richard Field","orcid":"https://orcid.org/0000-0002-2765-7032"},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard V. Field","raw_affiliation_strings":["Sandia National Laboratories, Albuquerque, New Mexico, U.S.A"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, New Mexico, U.S.A","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062221607","display_name":"Sucheta Soundarajan","orcid":"https://orcid.org/0000-0003-1166-4067"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sucheta Soundarajan","raw_affiliation_strings":["Syracuse University, Syracuse, NY, U.S.A"],"affiliations":[{"raw_affiliation_string":"Syracuse University, Syracuse, NY, U.S.A","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006561049"],"corresponding_institution_ids":["https://openalex.org/I4210104735"],"apc_list":null,"apc_paid":null,"fwci":1.3911,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84615385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"985","last_page":"992"},"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/T12016","display_name":"Web Data Mining and Analysis","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/T11644","display_name":"Spam and Phishing Detection","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7062264680862427},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6137966513633728},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5110346078872681},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4460509717464447},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44447553157806396},{"id":"https://openalex.org/keywords/indifference-graph","display_name":"Indifference graph","score":0.42202118039131165},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33080679178237915},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32160836458206177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2729395627975464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7062264680862427},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6137966513633728},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5110346078872681},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4460509717464447},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44447553157806396},{"id":"https://openalex.org/C74133993","wikidata":"https://www.wikidata.org/wiki/Q3115472","display_name":"Indifference graph","level":3,"score":0.42202118039131165},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33080679178237915},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32160836458206177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2729395627975464},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/asonam.2016.7752360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2016.7752360","pdf_url":null,"source":{"id":"https://openalex.org/S4363608003","display_name":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:1376813","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1376813","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:osti.gov:1530029","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1530029","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1376813","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1376813","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332369","display_name":"National Nuclear Security Administration","ror":"https://ror.org/03sk1we31"},{"id":"https://openalex.org/F4320337547","display_name":"Laboratory Directed Research and Development","ror":"https://ror.org/01e41cf67"},{"id":"https://openalex.org/F4320338291","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W49973572","https://openalex.org/W110443600","https://openalex.org/W1845748792","https://openalex.org/W1967236181","https://openalex.org/W1983416950","https://openalex.org/W2017274979","https://openalex.org/W2028897509","https://openalex.org/W2029341294","https://openalex.org/W2033995706","https://openalex.org/W2040956707","https://openalex.org/W2048596679","https://openalex.org/W2062743812","https://openalex.org/W2065222371","https://openalex.org/W2121525148","https://openalex.org/W2145934507","https://openalex.org/W2146008005","https://openalex.org/W2171935404","https://openalex.org/W2187121555","https://openalex.org/W4237171445","https://openalex.org/W6604611248","https://openalex.org/W6635376850","https://openalex.org/W6638777778","https://openalex.org/W6678340911"],"related_works":["https://openalex.org/W2052899165","https://openalex.org/W2008562718","https://openalex.org/W1495971547","https://openalex.org/W2038693912","https://openalex.org/W2067604523","https://openalex.org/W2602089430","https://openalex.org/W1991602789","https://openalex.org/W2154510413","https://openalex.org/W2386935432","https://openalex.org/W1582396021"],"abstract_inverted_index":{"We":[0,14,62,77,104,127,150],"present":[1,43,105],"a":[2,64],"detailed":[3],"study":[4],"on":[5,18,33,74,90,97,146],"data":[6,114],"collection,":[7],"graph":[8],"construction,":[9],"and":[10,46,138,153],"sampling":[11,17,32,50,81,121,144,158],"in":[12],"Twitter.":[13],"observe":[15],"that":[16,79,93],"semantic":[19,51,75,91,111,159],"graphs":[20,22,92,98,112,133],"(i.e.,":[21],"with":[23,70,99,134],"multiple":[24,135],"edge":[25,101,124,136],"types)":[26],"presents":[27],"fundamentally":[28],"distinct":[29],"challenges":[30,45,89],"from":[31,113],"traditional":[34],"graphs.":[35,52,76,160],"The":[36],"purpose":[37],"of":[38,55,67,122,142],"our":[39,56],"work":[40,57],"is":[41],"to":[42,117,132,157],"new":[44,129],"initial":[47],"solutions":[48,155],"for":[49,109],"Novel":[53],"elements":[54],"include":[58],"the":[59,118,140,143],"following:":[60],"(1)":[61],"provide":[63],"thorough":[65],"discussion":[66],"problems":[68],"encountered":[69,96],"na\u00efve":[71],"breadth-first":[72,85],"search":[73,86],"argue":[78],"common":[80],"methods":[82,108],"such":[83],"as":[84],"face":[87],"specific":[88,131],"are":[94],"not":[95],"homogeneous":[100],"types.":[102,125],"(2)":[103],"two":[106],"competing":[107],"creating":[110],"collects,":[115],"corresponding":[116],"interactions":[119],"between":[120],"different":[123],"(3)":[126],"discuss":[128,139,151],"metrics":[130],"types,":[137],"effect":[141],"method":[145],"these":[147],"metrics.":[148],"(4)":[149],"issues":[152],"potential":[154],"pertaining":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}