The graph represents a network of 6,324 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, 04 March 2022 at 21:36 UTC.
The requested start date was Friday, 04 March 2022 at 01:01 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, 6-minute period from Tuesday, 01 March 2022 at 23:54 UTC to Friday, 04 March 2022 at 01:01 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 : 6324
Unique Edges : 10498
Edges With Duplicates : 61230
Total Edges : 71728
Number of Edge Types : 5
Mentions : 53632
MentionsInRetweet : 10948
Retweet : 3663
Replies to : 3439
Tweet : 46
Self-Loops : 117
Reciprocated Vertex Pair Ratio : 0.0344392354850343
Reciprocated Edge Ratio : 0.0665853233397246
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 6324
Maximum Edges in a Connected Component : 71728
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.70569
Graph Density : 0.000430418630697064
Modularity : 0.175868
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,324 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, 04 March 2022 at 21:36 UTC.
The requested start date was Friday, 04 March 2022 at 01:01 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, 6-minute period from Tuesday, 01 March 2022 at 23:54 UTC to Friday, 04 March 2022 at 01:01 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:
[866] gregggonsalves,cdcgov [857] joebiden,cdcgov [854] criticasinmiedo,andrew7rd [854] phil_denton,itsbt50 [854] angryfleas,theromsey [854] theromsey,f505eb72b9cd493 [854] f505eb72b9cd493,darstin1957 [854] darstin1957,marie745640 [854] marie745640,justintrudeau [854] justintrudeau,joebiden Top Word Pairs in Tweet in G1:
[273] covid,19 [79] cdcgov's,arrogant [79] arrogant,refusal [79] refusal,provide [79] provide,covid [79] 19,data [79] data,public [79] public,shows [79] shows,administration [79] administration,favored Top Word Pairs in Tweet in G2:
[349] cdcdirector,cdcgov [144] cdcgov,cdcdirector [78] cdcgov,potus [53] move,forward [52] cdcgov,us_fda [49] children,under [45] drleanawen,cdcgov [45] forward,pandemic [42] potus,cdcdirector [41] cathymcmorris,cdcgov Top Word Pairs in Tweet in G3:
[818] gregggonsalves,cdcgov [565] cdcgov,#covid19 [355] #covid19,plan [355] plan,reasonable [355] reasonable,features [355] features,over [355] over,riding [355] riding,logic [355] logic,two [355] two,fatal Top Word Pairs in Tweet in G4:
[24] emilygraymd_mph,chelseakenna [24] chelseakenna,danaparish [24] danaparish,watermelonpunch [24] watermelonpunch,mskathleenquinn [20] theskylinetrail,lauramiers [19] lauramiers,emilygraymd_mph [19] reason,disturbing [19] disturbing,see [19] see,one [19] one,mask Top Word Pairs in Tweet in G5:
[854] criticasinmiedo,andrew7rd [854] phil_denton,itsbt50 [854] angryfleas,theromsey [854] theromsey,f505eb72b9cd493 [854] f505eb72b9cd493,darstin1957 [854] darstin1957,marie745640 [854] marie745640,justintrudeau [854] justintrudeau,joebiden [854] joebiden,cdcgov [849] justasimplema20,criticasinmiedo Top Word Pairs in Tweet in G6:
[17] very,sick [12] cdcemergency,cdcgov [11] #covid19,booster [11] covid,19 [10] cdcgov,updated [10] updated,list [10] list,underlying [10] underlying,medical [10] medical,conditions [10] conditions,make Top Word Pairs in Tweet in G7:
[26] astonishing,model [26] model,cdcgov [26] cdcgov,uses [26] uses,estimated [26] estimated,disease [26] disease,burden [26] burden,pediatric [26] pediatric,fatalities [25] angrybklynmom,astonishing [24] monicagandhi9,cdcgov Top Word Pairs in Tweet in G8:
[77] potus,cdcgov [46] 100,disability [46] dear,potus [46] cdcgov,federal [46] federal,mask [46] mask,mandate [46] mandate,planes [46] planes,trains [46] trains,buses [46] buses,transit Top Word Pairs in Tweet in G9:
[75] scottgottliebmd,cdcgov [38] oltmannd,scottgottliebmd [35] vet_dot,oltmannd [30] according,cdcgov [30] cdcgov,estimates [29] more,58 [29] 58,american [29] american,children [29] children,coronavirus [29] coronavirus,infection Top Word Pairs in Tweet in G10:
[10] cagovernor,cdcgov [6] masking,mandates [5] heard,lapublichealth [5] lapublichealth,surge [5] surge,#covid [5] #covid,plan [5] plan,alignment [5] alignment,county [5] county,masking [5] mandates,cagovernor Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G7:
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:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: