The graph represents a network of 6,840 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, 27 May 2022 at 20:00 UTC.
The requested start date was Friday, 27 May 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, 1-hour, 55-minute period from Tuesday, 24 May 2022 at 22:05 UTC to Friday, 27 May 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 : 6840
Unique Edges : 9357
Edges With Duplicates : 25897
Total Edges : 35254
Number of Edge Types : 5
Retweet : 4963
MentionsInRetweet : 10995
Mentions : 16900
Replies to : 2362
Tweet : 34
Self-Loops : 87
Reciprocated Vertex Pair Ratio : 0.0256190242706546
Reciprocated Edge Ratio : 0.0499581689972511
Connected Components : 4
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 6832
Maximum Edges in a Connected Component : 35241
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.533772
Graph Density : 0.000357726455339988
Modularity : 0.310403
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,840 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, 27 May 2022 at 20:00 UTC.
The requested start date was Friday, 27 May 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, 1-hour, 55-minute period from Tuesday, 24 May 2022 at 22:05 UTC to Friday, 27 May 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:
[1716] cdcgov,cdcmmwr [1612] health,condition [1463] develop,health [1456] yesterday,cdcgov [1454] recap,yesterday [1454] cdcgov,acknowledged [1454] acknowledged,people [1454] people,develop [1454] condition,#longcovid [1453] loscharlos,recap Top Word Pairs in Tweet in G1:
[1307] cdcgov,cdcmmwr [825] cdcmmwr,approximately [825] approximately,adults [825] condition,month [825] month,more [825] more,surviving [824] adults,ages [824] ages,18 [824] 18,experience [824] experience,condition Top Word Pairs in Tweet in G2:
[1443] health,condition [1318] develop,health [1311] recap,yesterday [1311] yesterday,cdcgov [1311] cdcgov,acknowledged [1311] acknowledged,people [1311] people,develop [1311] condition,#longcovid [1310] loscharlos,recap [1310] #longcovid,af Top Word Pairs in Tweet in G3:
[346] cdcgov,cdcmmwr [121] cdcgov,cdcdirector [98] loscharlos,cdcgov [49] cdcgov,whitehouse [43] cdcgov,cdcinjury [41] covid,19 [39] health,condition [38] loscharlos,recap [38] recap,yesterday [38] yesterday,cdcgov Top Word Pairs in Tweet in G4:
[156] vaccine,plus [156] plus,mrna [156] mrna,shot [156] shot,similar [156] similar,protection [156] protection,mrna [156] mrna,vaccine [156] vaccine,shots [156] shots,against [156] against,symptomatic Top Word Pairs in Tweet in G5:
[289] shelleywilson30,corruptbritain [284] petermurraychem,goodelija [284] nic21121970,jacktrafalgar1 [284] jacktrafalgar1,dead_star_33 [284] claireh37444648,usatoday [284] usatoday,us_fda [284] us_fda,cdcgov [283] corruptbritain,scottschell7 [283] dead_star_33,jillkeene20 [283] jillkeene20,claireh37444648 Top Word Pairs in Tweet in G6:
[31] helenbranswell,cdcgov [28] people,looking [28] looking,state [28] state,state [28] state,data [28] data,#monkeypox [28] #monkeypox,cases [28] cases,cdcgov [28] cdcgov,posting [28] posting,data Top Word Pairs in Tweet in G7:
[13] ukhsa,cdcgov [12] rapid,test [11] jciowaph,cdcgov [10] modestholdings,jciowaph [9] cdcgov,back [9] back,high [9] high,covid [9] covid,status [9] status,level [9] level,johnson Top Word Pairs in Tweet in G8:
[2] gloriaallred,eeoc_ofo [2] eeoc_ofo,nypost [2] nypost,latimes [2] latimes,rosemcgowan [2] rosemcgowan,useeoc [2] useeoc,sagaftra [2] sagaftra,ronanfarrow [2] ronanfarrow,jodikantor [2] jodikantor,mega2e [2] mega2e,ashleyjudd Top Word Pairs in Tweet in G9:
[111] cdcgov,potus [111] potus,dhsgov [104] donjr1961,cdcgov [19] #thankyoubeto,#thankyoubeto [6] donjr1961,ravens20201 [6] ravens20201,cdcgov [6] tomt1120,donjr1961 [5] dhsgov,look [4] dhsgov,wow [4] sick,bitch Top Word Pairs in Tweet in G10:
[18] craigcastleber1,justasimplema20 [18] thereseosulliv2,darstin1957 [17] darstin1957,nunulives [14] jimlikesbb,craigcastleber1 [14] justasimplema20,truthisnott [14] truthisnott,thereseosulliv2 [10] therealbfizzzle,marie745640 [10] antilibmob,jimlikesbb [9] marie745640,c0de_w4rr10r [9] srasberry1,jay_see_see Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
Top Mentioned in G2:
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Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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 G9:
Top Tweeters in G10: