{"id":"https://openalex.org/W2786098103","doi":"https://doi.org/10.1140/epjds/s13688-018-0162-8","title":"Link transmission centrality in large-scale social networks","display_name":"Link transmission centrality in large-scale social networks","publication_year":2018,"publication_date":"2018-09-14","ids":{"openalex":"https://openalex.org/W2786098103","doi":"https://doi.org/10.1140/epjds/s13688-018-0162-8","mag":"2786098103"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-018-0162-8","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-018-0162-8","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-018-0162-8","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-018-0162-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0002-6157-9912"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["Laboratory for the Modeling Biological and Socio-technical Systems, Northeastern University, Boston, USA","Laboratory for the Modeling of Biological and Socio-technical Systems [Boston]"],"raw_orcid":"https://orcid.org/0000-0002-6157-9912","affiliations":[{"raw_affiliation_string":"Laboratory for the Modeling Biological and Socio-technical Systems, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Laboratory for the Modeling of Biological and Socio-technical Systems [Boston]","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079596102","display_name":"M\u00e1rton Karsai","orcid":"https://orcid.org/0000-0001-5382-8950"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I113428412","display_name":"\u00c9cole Normale Sup\u00e9rieure de Lyon","ror":"https://ror.org/04zmssz18","country_code":"FR","type":"education","lineage":["https://openalex.org/I113428412","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"M\u00e1rton Karsai","raw_affiliation_strings":["LIP UMR 5668, IXXI, Universit\u00e9 de Lyon, ENS de Lyon, Inria, CNRS, UCB Lyon 1, Lyon, France","Laboratory for the Modeling Biological and Socio-technical Systems, Northeastern University, Boston, USA","Dynamic Networks : Temporal and Structural Capture Approach"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIP UMR 5668, IXXI, Universit\u00e9 de Lyon, ENS de Lyon, Inria, CNRS, UCB Lyon 1, Lyon, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I113428412","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Laboratory for the Modeling Biological and Socio-technical Systems, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Dynamic Networks : Temporal and Structural Capture Approach","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046546654","display_name":"Alessandro Vespignani","orcid":"https://orcid.org/0000-0003-3419-4205"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alessandro Vespignani","raw_affiliation_strings":["Laboratory for the Modeling Biological and Socio-technical Systems, Northeastern University, Boston, USA","Computational Epidemiology Laboratory"],"raw_orcid":"https://orcid.org/0000-0003-3419-4205","affiliations":[{"raw_affiliation_string":"Laboratory for the Modeling Biological and Socio-technical Systems, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Computational Epidemiology Laboratory","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":{"value":1190,"currency":"GBP","value_usd":1459},"apc_paid":{"value":1190,"currency":"GBP","value_usd":1459},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02218741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9775000214576721,"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":0.9775000214576721,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.01080000028014183,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.00139999995008111,"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/centrality","display_name":"Centrality","score":0.9662319421768188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6896972060203552},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6013374924659729},{"id":"https://openalex.org/keywords/information-transmission","display_name":"Information transmission","score":0.5830069780349731},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5639376044273376},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.5114578008651733},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.47098255157470703},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4563174843788147},{"id":"https://openalex.org/keywords/information-transfer","display_name":"Information transfer","score":0.44006550312042236},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4392906427383423},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.4056243896484375},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3717358112335205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1600097417831421},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14330485463142395},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10410457849502563},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09303215146064758},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08982434868812561},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07496803998947144}],"concepts":[{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.9662319421768188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6896972060203552},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6013374924659729},{"id":"https://openalex.org/C2983568541","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Information transmission","level":2,"score":0.5830069780349731},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5639376044273376},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.5114578008651733},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.47098255157470703},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4563174843788147},{"id":"https://openalex.org/C8854915","wikidata":"https://www.wikidata.org/wiki/Q4350200","display_name":"Information transfer","level":2,"score":0.44006550312042236},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4392906427383423},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.4056243896484375},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3717358112335205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1600097417831421},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14330485463142395},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10410457849502563},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09303215146064758},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08982434868812561},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07496803998947144},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":8,"locations":[{"id":"doi:10.1140/epjds/s13688-018-0162-8","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-018-0162-8","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-018-0162-8","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1802.05337","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.05337","pdf_url":"https://arxiv.org/pdf/1802.05337","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01831482v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-01831482","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2018","raw_type":"Preprints, Working Papers, ..."},{"id":"pmh:oai:HAL:hal-01952143v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-01952143","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EPJ Data Science, 2018, 7 (1), &#x27E8;10.1140/epjds/s13688-018-0162-8&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:doaj.org/article:8aebec8b106149dcb803df05e0c27524","is_oa":true,"landing_page_url":"https://doaj.org/article/8aebec8b106149dcb803df05e0c27524","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EPJ Data Science, Vol 7, Iss 1, Pp 1-16 (2018)","raw_type":"article"},{"id":"doi:10.48550/arxiv.1802.05337","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1802.05337","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.6084/m9.figshare.c.4233362","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.c.4233362","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.6084/m9.figshare.c.4233362.v1","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.c.4233362.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1140/epjds/s13688-018-0162-8","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-018-0162-8","pdf_url":"https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-018-0162-8","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G1624856719","display_name":null,"funder_award_id":"ANR-15-CE38-0011-03","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G370950668","display_name":null,"funder_award_id":"ANR-15-CE38-0011-01","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G3858547910","display_name":null,"funder_award_id":"15-CE38-0011","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G7791457384","display_name":"A sociolinguistics of Twitter : social links and linguistic variations","funder_award_id":"ANR-15-CE38-0011","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2786098103.pdf","grobid_xml":"https://content.openalex.org/works/W2786098103.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W764995726","https://openalex.org/W1029409534","https://openalex.org/W1544632947","https://openalex.org/W1670974005","https://openalex.org/W1911061567","https://openalex.org/W1967636119","https://openalex.org/W1971937094","https://openalex.org/W1977878271","https://openalex.org/W1982508570","https://openalex.org/W1987235421","https://openalex.org/W1996014455","https://openalex.org/W2000042664","https://openalex.org/W2007145989","https://openalex.org/W2008413086","https://openalex.org/W2022904399","https://openalex.org/W2025844353","https://openalex.org/W2026030034","https://openalex.org/W2026417691","https://openalex.org/W2029848348","https://openalex.org/W2032946107","https://openalex.org/W2049607688","https://openalex.org/W2066636486","https://openalex.org/W2067180271","https://openalex.org/W2074329989","https://openalex.org/W2089125183","https://openalex.org/W2099970772","https://openalex.org/W2100508712","https://openalex.org/W2102125399","https://openalex.org/W2105585871","https://openalex.org/W2109469951","https://openalex.org/W2112392909","https://openalex.org/W2127387319","https://openalex.org/W2130863673","https://openalex.org/W2133131640","https://openalex.org/W2136656254","https://openalex.org/W2140095656","https://openalex.org/W2141113219","https://openalex.org/W2148606255","https://openalex.org/W2149055390","https://openalex.org/W2149349114","https://openalex.org/W2149555845","https://openalex.org/W2150208547","https://openalex.org/W2153204928","https://openalex.org/W2156655865","https://openalex.org/W2171707538","https://openalex.org/W2188140040","https://openalex.org/W2265341574","https://openalex.org/W2470757901","https://openalex.org/W2540943999","https://openalex.org/W2600197430","https://openalex.org/W2719281137","https://openalex.org/W3037819556","https://openalex.org/W4206817834","https://openalex.org/W4238452917","https://openalex.org/W4238673972"],"related_works":["https://openalex.org/W3037013787","https://openalex.org/W992689895","https://openalex.org/W1646424737","https://openalex.org/W2165029889","https://openalex.org/W3122116620","https://openalex.org/W2887047168","https://openalex.org/W3157787313","https://openalex.org/W4289703817","https://openalex.org/W3101738023","https://openalex.org/W2786098103"],"abstract_inverted_index":{"Understanding":[0],"the":[1,22,27,44,50,56,100],"importance":[2,51],"of":[3,24,29,52,59,102],"links":[4,53,121],"in":[5,8,86,99,105,119,126],"transmitting":[6],"information":[7,65],"a":[9,36,67,74,127],"network":[10],"can":[11],"provide":[12],"ways":[13],"to":[14,61,78,83],"hinder":[15],"or":[16,26],"postpone":[17],"ongoing":[18],"dynamical":[19],"phenomena":[20],"like":[21],"spreading":[23,69,124],"epidemic":[25],"diffusion":[28,42,70],"information.":[30],"In":[31],"this":[32,113],"work,":[33],"we":[34,95],"propose":[35,73],"new":[37],"measure":[38],"based":[39],"on":[40],"stochastic":[41],"processes,":[43],"transmission":[45,80,97],"centrality":[46,81,98,117],",":[47],"that":[48,112,122],"captures":[49],"by":[54],"estimating":[55],"average":[57],"number":[58],"nodes":[60],"whom":[62],"they":[63],"transfer":[64],"during":[66],"global":[68],"process.":[71],"We":[72],"simple":[75],"algorithmic":[76],"solution":[77],"compute":[79],"and":[82],"approximate":[84],"it":[85],"very":[87],"large":[88,107],"networks":[89],"at":[90],"low":[91],"computational":[92],"cost.":[93],"Finally":[94],"apply":[96],"identification":[101],"weak":[103],"ties":[104],"three":[106],"empirical":[108],"social":[109,128],"networks,":[110],"showing":[111],"metric":[114],"outperforms":[115],"other":[116],"measures":[118],"identifying":[120],"drive":[123],"processes":[125],"network.":[129]},"counts_by_year":[],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}
