The graph represents a network of 7,067 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, 03 June 2022 at 19:59 UTC.
The requested start date was Friday, 03 June 2022 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, 8-hour, 36-minute period from Tuesday, 31 May 2022 at 15:23 UTC to Friday, 03 June 2022 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 : 7067
Unique Edges : 10268
Edges With Duplicates : 19625
Total Edges : 29893
Number of Edge Types : 5
Retweet : 4019
MentionsInRetweet : 9873
Mentions : 12850
Replies to : 3087
Tweet : 64
Self-Loops : 105
Reciprocated Vertex Pair Ratio : 0.0199390243902439
Reciprocated Edge Ratio : 0.0390984635619059
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 7067
Maximum Edges in a Connected Component : 29893
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.709202
Graph Density : 0.000334972637259379
Modularity : 0.378722
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,067 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, 03 June 2022 at 19:59 UTC.
The requested start date was Friday, 03 June 2022 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, 8-hour, 36-minute period from Tuesday, 31 May 2022 at 15:23 UTC to Friday, 03 June 2022 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:
[849] lawrencegostin,cdcgov [357] cdcdirector,cdcgov [355] covid,19 [284] don,work [265] mandates,don [262] cdcgov,cdcdirector [262] work,cdcgov [260] think,mandates [259] everyone,masked [259] rare,see Top Word Pairs in Tweet in G1:
[268] covid,19 [216] according,cdcgov [163] 20,000 [162] 100,000 [162] covid,cases [161] cdcgov,means [160] cases,day [160] 000,americans [159] still,100 [159] 000,covid Top Word Pairs in Tweet in G2:
[295] cdcdirector,cdcgov [217] cdcgov,cdcdirector [48] cdcgov,us_fda [43] us_fda,cdcgov [42] acip,meeting [41] cdc,tracking [41] tracking,multiple [41] multiple,outbreaks [41] outbreaks,#monkeypox [41] #monkeypox,several Top Word Pairs in Tweet in G3:
[824] lawrencegostin,cdcgov [205] don,work [199] christinapushaw,lawrencegostin [197] mandates,don [192] think,mandates [191] everyone,masked [191] rare,see [190] work,cdcgov [190] cdcgov,transit [190] transit,mandate Top Word Pairs in Tweet in G4:
[54] national,emergency [39] cdcgov,hhsgov [34] interpol_cbrne,opcw [34] opcw,un_women [34] un_women,unodc [34] unodc,fbi [34] fbi,europol [34] europol,un_oct [34] un_oct,ottawacitizen [34] ottawacitizen,dcpolicedept Top Word Pairs in Tweet in G5:
[107] cdcgov,cdcmmwr [97] cdcgov,andrewkolodny [91] painplayhouse,cdcgov [82] andrewkolodny,cmerandi [46] seraphimofsnark,painplayhouse [42] cdcgov,potus [36] ages,18 [35] cdcmmwr,approximately [35] approximately,adults [35] adults,ages Top Word Pairs in Tweet in G6:
[79] case,definition [78] #medtwitter,healthcare [78] healthcare,providers [78] providers,see [78] see,updated [78] updated,monkeypox [78] monkeypox,case [78] definition,cdcgov [78] cdcgov,posted [78] posted,today Top Word Pairs in Tweet in G7:
[223] thatgmel,cdcgov [71] jeremyfaust,cdcgov [68] cdcgov,gill4cvusd [68] gill4cvusd,conejovalleyusd [68] conejovalleyusd,whcovidresponse [68] whcovidresponse,david4to [54] wassdoc,jeremyfaust [54] david4to,florapharmd [48] took,2yo [48] 2yo,check Top Word Pairs in Tweet in G8:
[10] covid,19 [10] gatesfoundation,govlarryhogan [10] gavi,gatesfoundation [10] gatesfoundation,rotary [10] rotary,cdc_ehealth [9] govlarryhogan,bmore_healthy [9] c'est,parti [9] parti,jours [9] jours,campagne [9] campagne,nationale Top Word Pairs in Tweet in G9:
[57] peoplescdc,cdcgov [56] cdcgov,cdc [54] cdc,forecasts [54] forecasts,thousands [54] thousands,hospitalizations [54] hospitalizations,deaths [54] deaths,offers [54] offers,little [54] little,misleading [54] misleading,guidance Top Word Pairs in Tweet in G10:
[39] health,department [39] department,identified [39] identified,philadelphia [39] philadelphia,resident [39] resident,probable [39] probable,monkeypox [39] monkeypox,case [39] case,based [38] phlpublichealth,health [38] based,prel Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: