The graph represents a network of 7,892 Twitter users whose tweets in the requested range contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 23 October 2020 at 20:36 UTC.
The requested start date was Friday, 23 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 2-hour, 40-minute period from Tuesday, 20 October 2020 at 21:20 UTC to Friday, 23 October 2020 at 00:00 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 7892
Unique Edges : 10066
Edges With Duplicates : 18708
Total Edges : 28774
Number of Edge Types : 5
Retweet : 4165
MentionsInRetweet : 8526
Replies to : 2701
Mentions : 13324
Tweet : 58
Self-Loops : 103
Reciprocated Vertex Pair Ratio : 0.0235098703124002
Reciprocated Edge Ratio : 0.0459397041383185
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 7892
Maximum Edges in a Connected Component : 28774
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.80165
Graph Density : 0.000257258954573859
Modularity : 0.386446
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,892 Twitter users whose tweets in the requested range contained "@CDCgov OR @CDC_eHealth OR @CDCemergency", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 23 October 2020 at 20:36 UTC.
The requested start date was Friday, 23 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 2-hour, 40-minute period from Tuesday, 20 October 2020 at 21:20 UTC to Friday, 23 October 2020 at 00:00 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : @CDCgov OR @CDC_eHealth OR @CDCemergency
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[836] cdcgov,cdcmmwr [510] excess,deaths [503] 000,more [489] more,people [448] 299,000 [446] people,died [439] typical,number [432] during,same [431] january,2020 [431] 2020,299 Top Word Pairs in Tweet in G1:
[253] close,contact [199] covid,19 [167] wear,mask [152] public,transportation [150] cdcgov,cdc [148] transportation,including [148] including,airplanes [148] airplanes,ships [148] ships,ferries [147] strongly,recommends Top Word Pairs in Tweet in G2:
[145] nursing,homes [116] laurie_garrett,cdcgov [72] soaring,numbers [72] numbers,#covid19 [72] #covid19,deaths [72] deaths,nursing [72] homes,here's [72] here's,15 [72] 15,388 [72] 388,nursing Top Word Pairs in Tweet in G3:
[773] cdcgov,cdcmmwr [405] people,died [401] more,people [397] 299,000 [397] 000,more [397] during,same [396] cdcmmwr,estimates [396] estimates,january [396] january,2020 [396] 2020,299 Top Word Pairs in Tweet in G4:
[315] excess,deaths [312] 300,000 [312] 000,excess [310] seen,nearly [310] nearly,300 [310] deaths,late [310] late,january [310] january,groups [310] groups,biggest [310] biggest,jumps Top Word Pairs in Tweet in G5:
[65] contact,tracing [60] significant,change [59] change,contact [59] tracing,requirements [59] requirements,cdcgov [59] cdcgov,based [59] based,conclusions [59] conclusions,outbreak [59] outbreak,investigation [58] t_inglesby,significant Top Word Pairs in Tweet in G6:
[250] govmurphy,cdcgov [91] private,homes [85] seeing,trouble [85] gatherings,private [84] urge,follow [84] follow,cdcgov [84] cdcgov,guidance [84] gather,private [83] trouble,gatherings [83] homes,urge Top Word Pairs in Tweet in G7:
[216] estimated,299 [216] 299,028 [216] 028,more [216] more,persons [216] persons,expected [216] expected,died [216] died,january [216] january,26 [216] 26,2020 [216] 2020,approximately Top Word Pairs in Tweet in G8:
[98] wearing,mask [48] mask,mean [48] mean,don [48] don,practice [48] practice,social [48] social,distancing [48] distancing,answer [48] answer,wearing [48] mask,public [46] cdcemergency,wearing Top Word Pairs in Tweet in G9:
[93] excess,deaths [82] ashishkjha,gma [57] gma,morning [57] morning,robinroberts [57] robinroberts,discussed [57] discussed,cdcgov [57] cdcgov,excess [57] deaths,study [57] study,points [57] points,covid Top Word Pairs in Tweet in G10:
[88] cdcgov,nchstats [61] please,stop [61] stop,removing [61] removing,databases [61] databases,database [61] database,elements [61] elements,fields [61] fields,database [61] database,accesses [61] accesses,thank Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: