The graph represents a network of 7,387 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, 10 December 2021 at 21:40 UTC.
The requested start date was Friday, 10 December 2021 at 01:01 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 3-day, 6-hour, 4-minute period from Monday, 06 December 2021 at 18:54 UTC to Friday, 10 December 2021 at 00:59 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 : 7387
Unique Edges : 9881
Edges With Duplicates : 18772
Total Edges : 28653
Number of Edge Types : 5
Retweet : 3909
MentionsInRetweet : 8207
Mentions : 13491
Replies to : 2948
Tweet : 98
Self-Loops : 200
Reciprocated Vertex Pair Ratio : 0.0261531455337974
Reciprocated Edge Ratio : 0.0509731820199074
Connected Components : 49
Single-Vertex Connected Components : 43
Maximum Vertices in a Connected Component : 7333
Maximum Edges in a Connected Component : 28625
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.843078
Graph Density : 0.000289092550708314
Modularity : 0.393508
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,387 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, 10 December 2021 at 21:40 UTC.
The requested start date was Friday, 10 December 2021 at 01:01 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 3-day, 6-hour, 4-minute period from Monday, 06 December 2021 at 18:54 UTC to Friday, 10 December 2021 at 00:59 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:
[601] #covid19,vaccine [553] covid,19 [459] cdcgov,cdc [303] fully,vaccinated [276] years,older [267] omicron,variant [229] virus,causes [228] variant,virus [226] causes,#covid19 [223] dutch,government Top Word Pairs in Tweet in G1:
[497] #covid19,vaccine [407] cdcgov,cdc [250] years,older [249] fully,vaccinated [233] covid,19 [224] omicron,variant [211] virus,causes [210] variant,virus [208] causes,#covid19 [188] need,know Top Word Pairs in Tweet in G2:
[132] us_fda,cdcgov [125] cdcgov,cdcdirector [97] nist,nih [94] nih,us_fda [89] cdcdirector,cdcgov [73] cdcgov,progenabiome [68] cdcgov,us_fda [66] pay,attention [65] covid,19 [64] attention,stools Top Word Pairs in Tweet in G3:
[223] dutch,government [212] government,spreading [212] spreading,misinformation [212] misinformation,showing [212] showing,completely [212] completely,outdated [212] outdated,understanding [212] understanding,covid [211] jljcolorado,dutch [211] covid,tr Top Word Pairs in Tweet in G4:
[49] sherridouville,jessica_bassett [47] jljcolorado,meganranney [43] osha_guy,juliaraifman [43] juliaraifman,safetylawyer1 [42] profcrobertson,agoldsmithesq [41] universalmaski2,osha_guy [40] agoldsmithesq,drsinhaesq [35] safetylawyer1,profcrobertson [35] meganranney,kprather88 [35] kprather88,shellymboulder Top Word Pairs in Tweet in G5:
[40] #covid19,vaccine [25] vaccine,dose [24] vaccination,status [24] weakened,immune [24] immune,system [24] system,received [24] received,additional [24] additional,primary [24] primary,#covid19 [24] dose,still Top Word Pairs in Tweet in G6:
[73] alexander_tin,cdcgov [16] ginkgo,cdcgov [15] today's,cdcgov [15] booster,shots [12] cdcgov,vaccination [12] vaccination,figures [12] figures,pace [12] pace,booster [11] alexander_tin,today's [11] shots,officially Top Word Pairs in Tweet in G7:
[35] gia144000,mushroomreaper1 [34] mushroomreaper1,cdcgov [29] cdcgov,moderna_tx [28] nhsuk,cdcgov [23] polly_boiko,abbymartin [21] moderna_tx,harvard [20] smithdanag,elemental [20] elemental,nhsuk [20] abbymartin,guardian [20] guardian,fda Top Word Pairs in Tweet in G8:
[90] efudman,cdcgov [46] dontrumpwon2020,efudman [41] ryanbeed,efudman [35] coconservative7,cdcgov [33] cdcgov,current [33] states,reporting [32] best,#covid19 [32] #covid19,#vaccine [32] #vaccine,data [32] data,comes Top Word Pairs in Tweet in G9:
[83] healthyfla,cdcgov [62] case,omicron [55] florida,department [54] earlier,today [54] presumed,case [53] today,statement [53] statement,released [53] released,regarding [53] regarding,presumed [53] omicron,detected Top Word Pairs in Tweet in G10:
[43] morning,report [43] report,cdcgov [43] cdcgov,itâ [43] itâ,time [43] time,set [43] set,timeline [43] timeline,proof [43] proof,shots [43] shots,test [43] test,fly Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: