The graph represents a network of 7,865 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, 17 September 2021 at 20:34 UTC.
The requested start date was Friday, 17 September 2021 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, 23-hour, 54-minute period from Tuesday, 14 September 2021 at 00:05 UTC to Friday, 17 September 2021 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 : 7865
Unique Edges : 10902
Edges With Duplicates : 19551
Total Edges : 30453
Number of Edge Types : 5
Retweet : 4025
MentionsInRetweet : 7785
Replies to : 3193
Mentions : 15386
Tweet : 64
Self-Loops : 159
Reciprocated Vertex Pair Ratio : 0.014832162373146
Reciprocated Edge Ratio : 0.0292307692307692
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 7865
Maximum Edges in a Connected Component : 30453
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.843208
Graph Density : 0.000273240123420462
Modularity : 0.39422
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,865 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, 17 September 2021 at 20:34 UTC.
The requested start date was Friday, 17 September 2021 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, 23-hour, 54-minute period from Tuesday, 14 September 2021 at 00:05 UTC to Friday, 17 September 2021 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:
[548] covid,19 [461] toricoooper,nickiminaj [385] against,#covid19 [377] vaccinated,against [328] evidence,date [326] pregnant,future [325] time,running [325] children,wollo [323] wollo,gondar [323] gondar,waghimra Top Word Pairs in Tweet in G1:
[356] against,#covid19 [350] vaccinated,against [317] pregnant,future [306] cdcgov,fact [299] evidence,date [292] fact,vaccinated [292] #covid19,re [292] re,trying [292] trying,pregnant [292] future,evidence Top Word Pairs in Tweet in G2:
[164] fully,#vaccinated [157] cdcgov,us_fda [115] #covid19,vaccination [110] vaccination,update [109] update,september [101] pm,209 [94] americans,gotten [90] 14,2021 [89] cdcgov,cdcdirector [89] september,14 Top Word Pairs in Tweet in G3:
[325] time,running [325] children,wollo [323] wollo,gondar [323] gondar,waghimra [323] communicable,diseases [322] need,immediate [322] immediate,food [322] food,medical [322] medical,services [321] services,supplies Top Word Pairs in Tweet in G4:
[459] toricoooper,nickiminaj [257] nickiminaj,cdcgov [253] cdcgov,cbs46 [232] nickiminaj,told [232] told,truth [232] truth,fauci [232] fauci,lied [226] lied,protesters [226] protesters,approaching [226] approaching,cars Top Word Pairs in Tweet in G5:
[21] cdcgov,cdcespanol [17] cdcgov,cdcdirector [17] themfingcoo,cdcgov [16] covid,19 [14] sars,cov [14] alisavaldesrod1,parsifaler [14] parsifaler,cdc [14] liamschubel,cdcgov [13] lidia,first [13] first,call Top Word Pairs in Tweet in G6:
[99] cdcgov,us_fda [48] trust,cdcgov [45] cdcgov,again [44] fully,trust [43] anyone,anyone [43] anyone,fully [42] again,god's [42] god's,earth [42] earth,trust [42] trust,vaccine Top Word Pairs in Tweet in G7:
[137] carlyraewinters,cdcgov [131] brookspw,cdcgov [126] johnbeamon_,brookspw [124] danielsbarkerdb,johnbeamon_ [61] cdcgov,badcovid19takes [61] badcovid19takes,badvaccinetakes [59] likewh1a,cdcgov [51] georgina_hassan,danielsbarkerdb [42] ummlater,carlyraewinters [40] manibagiovanni,danielsbarkerdb Top Word Pairs in Tweet in G8:
[32] cdcinjury,cdcgov [32] ondcp,reginalabelle46 [25] reginalabelle46,cdcgov [25] cdcgov,potus [20] smalldarklight_,cdcgov [19] missmeryn,cdcgov [13] ceasearttheft,cdcgov [11] cdcdirector,cdcgov [11] homecarestephen,ceasearttheft [10] kiranrnnerd,smalldarklight_ Top Word Pairs in Tweet in G9:
[84] covid,19 [76] nikkifried,florida [75] additional,deaths [75] deaths,due [75] due,covid [75] 19,cdcgov [74] florida,reported [72] reported,554 [72] 554,additional [72] cdcgov,largest Top Word Pairs in Tweet in G10:
[27] spoke,actual [27] actual,doctor [27] doctor,nurse [27] nurse,practitioner [27] practitioner,yesterday [27] yesterday,pushed [27] pushed,observed [26] t_s_p_o_o_k_y,spoke [26] observed,fac [17] amermedicalassn,cdcgov Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: