{"id":"https://openalex.org/W2963031429","doi":"https://doi.org/10.1093/comnet/cnw017","title":"Dynamic communicability and epidemic spread: a case study on an empirical dynamic contact network","display_name":"Dynamic communicability and epidemic spread: a case study on an empirical dynamic contact network","publication_year":2016,"publication_date":"2016-06-21","ids":{"openalex":"https://openalex.org/W2963031429","doi":"https://doi.org/10.1093/comnet/cnw017","mag":"2963031429"},"language":"en","primary_location":{"id":"doi:10.1093/comnet/cnw017","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comnet/cnw017","pdf_url":null,"source":{"id":"https://openalex.org/S2531583244","display_name":"Journal of Complex Networks","issn_l":"2051-1310","issn":["2051-1310","2051-1329"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Complex Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11384/75240","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053715586","display_name":"Isabel Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Isabel Chen","raw_affiliation_strings":["Department of Mathematics and Computer Science, Emory University, Atlanta, Georgia 30322, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Emory University, Atlanta, Georgia 30322, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053109099","display_name":"Michele Benzi","orcid":"https://orcid.org/0000-0001-6099-0294"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michele Benzi","raw_affiliation_strings":["Department of Mathematics and Computer Science, Emory University, Atlanta, Georgia 30322, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Emory University, Atlanta, Georgia 30322, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000225915","display_name":"Howard H. Chang","orcid":"https://orcid.org/0000-0002-6316-1640"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Howard H. Chang","raw_affiliation_strings":["Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030910492","display_name":"Vicki Hertzberg","orcid":"https://orcid.org/0000-0002-8834-4363"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vicki S. Hertzberg","raw_affiliation_strings":["Center for Nursing Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia 30322, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Nursing Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia 30322, USA","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053715586"],"corresponding_institution_ids":["https://openalex.org/I150468666"],"apc_list":{"value":4151,"currency":"USD","value_usd":4151},"apc_paid":null,"fwci":1.1057,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.80195879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"cnw017","last_page":"cnw017"},"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9990000128746033,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.9265931844711304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7322483062744141},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.628198504447937},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"Dynamic network analysis","score":0.6017407178878784},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5481659173965454},{"id":"https://openalex.org/keywords/network-theory","display_name":"Network theory","score":0.5117113590240479},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4459960460662842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4008389115333557},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3582857549190521},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15528801083564758},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1277722716331482}],"concepts":[{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.9265931844711304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7322483062744141},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.628198504447937},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.6017407178878784},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5481659173965454},{"id":"https://openalex.org/C11804174","wikidata":"https://www.wikidata.org/wiki/Q1192971","display_name":"Network theory","level":2,"score":0.5117113590240479},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4459960460662842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4008389115333557},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3582857549190521},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15528801083564758},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1277722716331482},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1093/comnet/cnw017","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comnet/cnw017","pdf_url":null,"source":{"id":"https://openalex.org/S2531583244","display_name":"Journal of Complex Networks","issn_l":"2051-1310","issn":["2051-1310","2051-1329"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Complex Networks","raw_type":"journal-article"},{"id":"pmh:oai:ricerca.sns.it:11384/75240","is_oa":true,"landing_page_url":"http://hdl.handle.net/11384/75240","pdf_url":null,"source":{"id":"https://openalex.org/S7407050981","display_name":"Scuola Normale Superiore di Pisa","issn_l":null,"issn":[],"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:ricerca.sns.it:11384/75240","is_oa":true,"landing_page_url":"http://hdl.handle.net/11384/75240","pdf_url":null,"source":{"id":"https://openalex.org/S7407050981","display_name":"Scuola Normale Superiore di Pisa","issn_l":null,"issn":[],"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W101441277","https://openalex.org/W246988742","https://openalex.org/W790319228","https://openalex.org/W1590238241","https://openalex.org/W1590628445","https://openalex.org/W1670974005","https://openalex.org/W1830307536","https://openalex.org/W1937334562","https://openalex.org/W1967636119","https://openalex.org/W1971375046","https://openalex.org/W1975443659","https://openalex.org/W1989952213","https://openalex.org/W1990863558","https://openalex.org/W1995364830","https://openalex.org/W2011456447","https://openalex.org/W2017990598","https://openalex.org/W2026417691","https://openalex.org/W2027752285","https://openalex.org/W2030539428","https://openalex.org/W2034781947","https://openalex.org/W2035955342","https://openalex.org/W2038195874","https://openalex.org/W2039864426","https://openalex.org/W2061595296","https://openalex.org/W2073627497","https://openalex.org/W2078185850","https://openalex.org/W2084859681","https://openalex.org/W2099365974","https://openalex.org/W2109530418","https://openalex.org/W2118525243","https://openalex.org/W2122228761","https://openalex.org/W2126825186","https://openalex.org/W2131499531","https://openalex.org/W2132353593","https://openalex.org/W2132954395","https://openalex.org/W2133131640","https://openalex.org/W2139322472","https://openalex.org/W2141641236","https://openalex.org/W2154416797","https://openalex.org/W2159301256","https://openalex.org/W2162788851","https://openalex.org/W2169002304","https://openalex.org/W2263465642","https://openalex.org/W2327974553","https://openalex.org/W2495595050","https://openalex.org/W2963289400","https://openalex.org/W3098088974","https://openalex.org/W3098754244","https://openalex.org/W3101575400","https://openalex.org/W3102148795","https://openalex.org/W3102446989","https://openalex.org/W3102512777","https://openalex.org/W3106147091","https://openalex.org/W4256046779","https://openalex.org/W6602138830","https://openalex.org/W6757437740"],"related_works":["https://openalex.org/W2046736422","https://openalex.org/W2951279349","https://openalex.org/W2134784378","https://openalex.org/W2611574733","https://openalex.org/W2342486111","https://openalex.org/W2058526570","https://openalex.org/W2091788723","https://openalex.org/W3098757763","https://openalex.org/W4301829743","https://openalex.org/W4302322025"],"abstract_inverted_index":{"We":[0,26],"analyse":[1],"a":[2,22,32,99],"recently":[3],"proposed":[4],"temporal":[5,29,65,80],"centrality":[6,30,38],"measure":[7,66],"applied":[8],"to":[9,60,103],"an":[10,18],"empirical":[11],"network":[12,94],"based":[13,39],"on":[14,40],"person-to-person":[15],"contacts":[16],"in":[17,92,98],"emergency":[19],"department":[20],"of":[21,35,52,89,110],"busy":[23],"urban":[24],"hospital.":[25],"show":[27,77],"that":[28,47,78,106],"identifies":[31],"distinct":[33],"set":[34],"top-spreaders":[36,54],"than":[37],"the":[41,50,64,87,93,108,111],"time-aggregated":[42],"binarized":[43],"contact":[44],"matrix,":[45],"so":[46],"taken":[48],"together,":[49],"accuracy":[51],"capturing":[53],"improves":[55],"significantly.":[56],"However,":[57],"with":[58],"respect":[59],"predicting":[61],"epidemic":[62],"outcome,":[63],"does":[67],"not":[68],"necessarily":[69],"outperform":[70],"less":[71],"complex":[72],"measures.":[73],"Our":[74],"results":[75],"also":[76],"other":[79],"markers":[81],"such":[82],"as":[83],"duration":[84],"observed":[85,112],"and":[86],"time":[88],"first":[90],"appearance":[91],"can":[95],"be":[96],"used":[97],"simple":[100],"predictive":[101],"model":[102],"generate":[104],"predictions":[105],"capture":[107],"trend":[109],"data":[113],"remarkably":[114],"well.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}