Graph theory indicators for e-mail networkdoi:10.7910/DVN/DC5M3EHarvard Dataverse2019-10-081Christidis, Panayotis, 2019, "Graph theory indicators for e-mail network", https://doi.org/10.7910/DVN/DC5M3E, Harvard Dataverse, V1, UNF:6:MZceYj4oDSKFtXmEZsYMbg== [fileUNF]Graph theory indicators for e-mail networkdoi:10.7910/DVN/DC5M3EChristidis, PanayotisHarvard DataverseChristidis, PanayotisChristidis, Panayotis2019-10-08Computer and Information ScienceMathematical SciencesSocial Sciencesemail network, network analysis, social network analysis, graph theory, indicatorsThis dataset includes graph theory indicators (centrality and clustering coefficients) for the Stanford Network Analysis Project (SNAP) "email-Eu-core-temporal" network, a well-known reference dataset for Social Network Analysis (SNA) of e-mail traffic.<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>email_graph_stats.tab73921text/tab-separated-valuesUNF:6:MZceYj4oDSKFtXmEZsYMbg==id0.01004.0292.5410223710277.508.27198917455763514.0739.00.0UNF:6:K5oLthRAsmX091UrjPDxkg==department41.00.014.039242219215149.739.014.010.4265310675457650.0UNF:6:8namg5C7/PV/RWvbzMVdQg==degree0.0623472912309800260.0.0.5483214650.047812818739.00.0020345880.06574830313396482UNF:6:g9BcIkwhk6X7WobEGR95Vg==degree_in0.028738718575974630.0244150560.0010172940.032184484059539920.211597152739.00.0.UNF:6:jAvhz5XEI1OshfPUaEs72w==degree_out0.3367243130.033563819089309880.0233977620.00.0349192433078235750.001017294739.0.UNF:6:k3/S6cAwZbs48B+LmtycWQ==closeness_all.0.4691601130.3759470310.00.3699227260.37868889733829497739.00.009103799798684725UNF:6:A32pzkGAuzUw0ll0QHzM5A==closeness_in0.4265131680.3754578750.00.3699227260.007251086064554052739.00.37746634862652234.UNF:6:0S5NyqPQXBqF3BDTXVl9BQ==closeness_out0.0090983223470355620.4691601130.00.375213775739.00.3699227260.3778711249188092.UNF:6:CpPDYMwuUO/aVi8PZFgv2g==betweenness_weighted2435.7756527198941248.08912942193770.0.22305.178450.0739.0398.1156312UNF:6:Cxw4eJi962aiIw+litW5Dg==betweenness_weighted_directed0.0.889.48626024377.634013348104739.02361.938413889142225.34270.0UNF:6:GHml4L6YGV4pXTRRiD6r6Q==clustering_in1.00.00.48276771331529095739.00.00.473792773.0.20262338939541646UNF:6:AtMtxR3E3cZEgdAvMUPe5g==clustering_out.0.441276724251691450.01.0739.00.214078475222994590.00.416719673UNF:6:z8kAFiF36K8Urbld26/www==clustering_middleman0.00.198814713701151140.4689278940.0.1.00.4845416232733424739.0UNF:6:XQE+L2nqg4L/ndsy8jDAQQ==clustering_cycle.0.00.1963133768708791.0739.00.00.444358059285520970.428229665UNF:6:15/GMpxvESKelX00gN3Y/g==sent_emails157.00.0739.0436.15426251691457812.30011542892459582.0.1.0UNF:6:sKHElq/QL5vLyuvPrXNmDg==average_number_recipients1.1735357920.67808289727292087.410672854739.01.38254495159539910.0.1.0UNF:6:7pFvDCRctWuZsyMPbb/CJw==received_emails4710.0273.01.0520.3121411095296.739.00.0439.2909336941814UNF:6:4BDdOjQPrWUH53ZEZRrijw==share_timely_time_replies_from_recipients.739.00.00.236946908105580251.00.00.4175824180.421923679052774UNF:6:QfKfzVOu6OerxB3WskuYXg==share_timely_time_replies_own739.00.00.5.0.0042462850.197581900690597141.00.4964719622719892UNF:6:xLvWSiMogT7zecMJg9pmRw==share_replies_to_indiv_1_day739.0.0.01.00.2340425530.17931910749582750.257695434166441140.0UNF:6:XdfK3A66dvERVjflpOUMIQ==share_own_replies_1_day0.174864264192986481.00.32546066102165090.3061858870.0739.00.0.UNF:6:60UZWfmHCmywxhWurOenuw==