The graph represents a network of 7,353 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, 19 August 2022 at 19:58 UTC.
The requested start date was Friday, 19 August 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, 19-hour, 57-minute period from Tuesday, 16 August 2022 at 04:03 UTC to Friday, 19 August 2022 at 00:01 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 : 7353
Unique Edges : 11714
Edges With Duplicates : 17862
Total Edges : 29576
Number of Edge Types : 5
Retweet : 4336
MentionsInRetweet : 10535
Mentions : 11660
Replies to : 2994
Tweet : 51
Self-Loops : 82
Reciprocated Vertex Pair Ratio : 0.0138729586542138
Reciprocated Edge Ratio : 0.0273662662285191
Connected Components : 3
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 7347
Maximum Edges in a Connected Component : 29566
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.697318
Graph Density : 0.000343382454246133
Modularity : 0.401471
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 7,353 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, 19 August 2022 at 19:58 UTC.
The requested start date was Friday, 19 August 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, 19-hour, 57-minute period from Tuesday, 16 August 2022 at 04:03 UTC to Friday, 19 August 2022 at 00:01 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:
[543] cdcgov,cdcdirector [448] pre,print [445] adolescent,boys [445] overt,subclinical [445] subclinical,myocarditis [444] print,thailand [444] thailand,found [444] found,adolescent [444] boys,overt [444] myocarditis,getting Top Word Pairs in Tweet in G1:
[234] eidjournal,cdcgov [179] cdcgov,case [177] sharing,paper [177] paper,eidjournal [177] case,#monkeypox [177] #monkeypox,returned [177] returned,traveler [177] traveler,sexual [177] sexual,exposures [177] exposures,anogenital Top Word Pairs in Tweet in G2:
[96] public,health [87] excellent,article [87] article,erictopol [87] erictopol,eviscerates [87] eviscerates,cdcgov [87] cdcgov,rightly [87] rightly,understand [84] drleanawen,cdcgov [81] cdcgov,cdcdirector [79] youarelobbylud,excellent Top Word Pairs in Tweet in G3:
[414] pre,print [412] adolescent,boys [412] overt,subclinical [412] subclinical,myocarditis [411] print,thailand [411] thailand,found [411] found,adolescent [411] boys,overt [411] myocarditis,getting [410] flsurgeongen,pre Top Word Pairs in Tweet in G4:
[274] report,cdcgov [274] cdcgov,primary [274] primary,risk [274] risk,factor [274] factor,close [274] close,nonsexual [274] nonsexual,contact [274] contact,numerous [274] numerous,unknown [274] unknown,ppl Top Word Pairs in Tweet in G5:
[301] cdcgov,cdcdirector [237] cdcdirector,cdcgov [108] cdcdirector,walensky [106] cdcgov,staff [104] corrupt,cdcgov [103] covid,19 [102] agency,overhaul [101] tomfitton,corrupt [101] walensky,orders [101] orders,agency Top Word Pairs in Tweet in G6:
[340] repthomasmassie,cdcgov [234] cdcgov,rayarmat [207] adamkinzinger,repthomasmassie [81] quietly,deleting [81] deleting,misleading [81] misleading,information [81] information,website [76] cdcgov,quietly [76] website,following [76] following,statement Top Word Pairs in Tweet in G7:
[17] suffering,primary [17] primary,victims [17] victims,war [17] war,siege [17] siege,tigray [17] tigray,lc [17] lc,going [14] going,take [11] #childrenoftigray,suffering [10] take,action Top Word Pairs in Tweet in G8:
[79] usopen,usta [37] cdcgov,cdcdirector [36] usta,djokernole [36] djokernole,cdcgov [29] usta,cdcgov [25] andreagaudenzi,stacey_allaster [25] best,player [22] time,wake [22] wake,usopen [22] usopen,atptour Top Word Pairs in Tweet in G9:
[73] return,home [73] two,negative [73] negative,tests [72] pay,attention [72] attention,return [72] home,receives [72] receives,two [72] tests,angers [49] ebonyjhilton_md,kaitlancollins [46] public,health Top Word Pairs in Tweet in G10:
[33] stopbaddocs,bilked2thebrink [32] colo_trumpette,stopbaddocs [29] bilked2thebrink,elianok10 [27] elianok10,clontz_john [27] clontz_john,secondchances09 [27] secondchances09,browndotflop [26] wizardpuzzle,colo_trumpette [25] browndotflop,chattyknana [24] chattyknana,akolostomybag [24] akolostomybag,lindamdickson3 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:
Top Mentioned in G2:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: