The graph represents a network of 7,369 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, 09 September 2022 at 19:59 UTC.
The requested start date was Friday, 09 September 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, 56-minute period from Tuesday, 06 September 2022 at 15:03 UTC to Friday, 09 September 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 : 7369
Unique Edges : 10542
Edges With Duplicates : 16557
Total Edges : 27099
Number of Edge Types : 5
Replies to : 2778
Mentions : 11475
Retweet : 4057
MentionsInRetweet : 8733
Tweet : 56
Self-Loops : 109
Reciprocated Vertex Pair Ratio : 0.0165047334329846
Reciprocated Edge Ratio : 0.0324735003982599
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 7369
Maximum Edges in a Connected Component : 27099
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.800454
Graph Density : 0.000300599733396161
Modularity : 0.409521
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 7,369 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, 09 September 2022 at 19:59 UTC.
The requested start date was Friday, 09 September 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, 56-minute period from Tuesday, 06 September 2022 at 15:03 UTC to Friday, 09 September 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:
[726] cdcgov,cdcdirector [230] covid,19 [227] #cdc,passed [227] passed,misinformation [227] misinformation,#facebook [227] #facebook,partners [227] partners,worked [227] worked,combat [227] combat,misinformation [227] misinformation,according Top Word Pairs in Tweet in G1:
[160] updated,#covid19 [123] #covid19,vaccines [121] learn,more [119] 12,older [105] parent,caregiver [105] caregiver,due [102] exposed,#monkeypox [102] cdcgov,recommends [102] cdcgov,updated [101] related,deaths Top Word Pairs in Tweet in G2:
[460] cdcgov,cdcdirector [130] cdcgov,potus [104] potus,mta [90] fixed,cdcgov [90] mta,#covidisairborne [90] #covidisairborne,#wearann95 [90] #wearann95,#nyc [90] #nyc,#publictransit [89] kristopherroe,fixed [89] #publictransit,#sciencedoesntcareaboutyourfeel Top Word Pairs in Tweet in G3:
[191] us_fda,cdcgov [90] oregongovbrown,us_fda [47] cdcgov,ameracadpeds [42] cdcgov,us_fda [28] herculeanhammer,us_fda [21] never,flu [21] covid,19 [21] cdcgov,cdcdirector [20] ameracadpeds,never [20] flu,shot Top Word Pairs in Tweet in G4:
[169] booster,schedule [166] know,right [165] covid,booster [163] right,covid [162] schedule,anyone [162] anyone,ashishkjha46 [162] ashishkjha46,tony [162] tony,fauci [161] drjbhattacharya,know [161] fauci,cdcgo Top Word Pairs in Tweet in G5:
[73] cdcgov,jamapediatrics [48] psholstein,cdcgov [42] jamapediatrics,germany [42] germany,apparently [42] apparently,assumed [42] assumed,loss [42] loss,parents [42] parents,less [42] less,traumatizing [41] traumatizing,childre Top Word Pairs in Tweet in G6:
[205] #cdc,passed [205] passed,misinformation [205] misinformation,#facebook [205] #facebook,partners [205] partners,worked [205] worked,combat [205] combat,misinformation [205] misinformation,according [205] according,newly [205] newly,released Top Word Pairs in Tweet in G7:
[163] #longcovid,prevalence [163] prevalence,ba [163] ba,variant [163] variant,21 [163] 21,difference [163] difference,whether [163] whether,vax [163] vax,boosted [163] boosted,prevalence [163] prevalence,corroborates Top Word Pairs in Tweet in G8:
[13] food,safety [12] covid,19 [12] #covid19,boosters [10] cdcgov,hhsgov [10] hhsgov,developed [10] developed,minority [10] minority,health [10] health,social [10] social,vulnerability [10] vulnerability,index Top Word Pairs in Tweet in G9:
[52] covid,19 [41] despite,end [41] end,hrsagov's [41] hrsagov's,uninsured [41] uninsured,program [41] program,cdcgov [41] cdcgov,pharmacies [41] pharmacies,covid [41] 19,vaccines [41] vaccines,denying Top Word Pairs in Tweet in G10:
[14] hhsgov,justiceatr [14] justiceatr,cdcgov [14] cdcgov,niaidclinregs [14] niaidclinregs,usdot [14] usdot,ncai1944 [14] deptvetaffairs,potus [14] potus,vp [14] vp,ihsgov [14] ihsgov,interior [14] civilrights,deptofdefense 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 Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: