The graph represents a network of 7,409 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, 22 April 2022 at 20:33 UTC.
The requested start date was Friday, 22 April 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 1-day, 22-hour, 45-minute period from Wednesday, 20 April 2022 at 01:15 UTC to Friday, 22 April 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 : 7409
Unique Edges : 10352
Edges With Duplicates : 16189
Total Edges : 26541
Number of Edge Types : 5
Replies to : 2925
Mentions : 9613
MentionsInRetweet : 9648
Retweet : 4313
Tweet : 42
Self-Loops : 75
Reciprocated Vertex Pair Ratio : 0.0103646122524523
Reciprocated Edge Ratio : 0.0205165781278622
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 7408
Maximum Edges in a Connected Component : 26540
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.550927
Graph Density : 0.000298382796942718
Modularity : 0.390564
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,409 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, 22 April 2022 at 20:33 UTC.
The requested start date was Friday, 22 April 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 1-day, 22-hour, 45-minute period from Wednesday, 20 April 2022 at 01:15 UTC to Friday, 22 April 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:
[605] public,health [483] great,see [483] see,thejusticedept [467] cdcgov,cdc [442] authority,protect [442] during,public [441] thejusticedept,defend [441] defend,cdcgov's [441] cdcgov's,authority [441] protect,everyone Top Word Pairs in Tweet in G1:
[406] cdcgov,cdc [376] wear,masks [367] public,transportation [359] people,wear [355] indoor,public [353] cdc,continues [353] see,full [352] continues,recommend [352] recommend,people [352] masks,indoor Top Word Pairs in Tweet in G2:
[268] cdcgov,cdcdirector [207] us_fda,cdcgov [152] cdcgov,potus [104] cdcdirector,cdcgov [99] cdcgov,us_fda [89] mask,mandate [76] young,children [75] millions,parents [75] potus,cdcgov [73] true,us_fda Top Word Pairs in Tweet in G3:
[472] see,thejusticedept [471] great,see [436] public,health [430] thejusticedept,defend [430] defend,cdcgov's [430] cdcgov's,authority [430] authority,protect [430] protect,everyone [430] everyone,nation [430] nation,during Top Word Pairs in Tweet in G4:
[142] cdcdirector,cdcgov [133] ashishkjha46,cdcgov [41] mask,mandate [40] couple,weeks [39] biden,administration [39] administration,needs [39] needs,fight [39] fight,decision [39] decision,gearing [39] gearing,make Top Word Pairs in Tweet in G5:
[80] wear,mask [72] immune,system [68] system,compromised [68] compromised,cold [68] cold,kill [68] kill,wear [68] mask,enough [68] enough,guilty [68] guilty,game [68] game,cdcgov Top Word Pairs in Tweet in G6:
[34] public,health [25] united,cdcgov [25] mandatemasksny,cdcgov [25] gary4govsc,cdcgov [24] pirnha,united [23] cdcdirector,cdcgov [22] stay,require [20] require,masks [19] unqualified,maga [19] masks,transportation Top Word Pairs in Tweet in G7:
[144] mask,mandates [143] going,happen [142] united,delta [142] delta,american [142] american,alaskan [142] alaskan,southwest [142] southwest,ended [142] ended,mask [142] mandates,sorry [142] sorry,going Top Word Pairs in Tweet in G8:
[50] biosecurity,update [50] update,#covid19 [50] #covid19,never [50] never,become [50] become,endemic [50] endemic,high [50] high,rates [50] rates,asymptomatic [50] asymptomatic,carriers [50] carriers,continuously Top Word Pairs in Tweet in G9:
[7] cdcgov,cdcdirector [5] katiepavlich,cdcgov [4] cdcgov,presssec [4] presssec,pdoocy [4] potus,cdcgov [4] mask,mandate [4] heathertungate7,sfchronicle [4] sfchronicle,twitter [4] twitter,cdcgov [4] cdcgov,pfizer Top Word Pairs in Tweet in G10:
[29] lawrencegostin,hereandnow [29] hereandnow,npr [27] npr,cdcgov [25] drleanawen,lawrencegostin [22] ltgrusselhonore,cdcgov [21] mask,mandate [19] federal,judge [16] florida,federal [14] inter,state [14] cdcgov,need Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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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:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: