The graph represents a network of 6,755 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, 02 December 2022 at 20:59 UTC.
The requested start date was Friday, 02 December 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, 14-hour, 46-minute period from Tuesday, 29 November 2022 at 10:14 UTC to Friday, 02 December 2022 at 01:00 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 : 6755
Unique Edges : 11203
Edges With Duplicates : 17158
Total Edges : 28361
Number of Edge Types : 5
Retweet : 3562
MentionsInRetweet : 9036
Replies to : 3550
Mentions : 12148
Tweet : 65
Self-Loops : 115
Reciprocated Vertex Pair Ratio : 0.0140618482988739
Reciprocated Edge Ratio : 0.0277337093836301
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 6755
Maximum Edges in a Connected Component : 28361
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.625823
Graph Density : 0.000373033322688181
Modularity : 0.358281
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,755 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, 02 December 2022 at 20:59 UTC.
The requested start date was Friday, 02 December 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, 14-hour, 46-minute period from Tuesday, 29 November 2022 at 10:14 UTC to Friday, 02 December 2022 at 01:00 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:
[1324] cdcdirector,cdcgov [552] cdcgov,cdcdirector [390] fact,checks [389] one,week [388] week,before [387] checks,work [387] election,reutersfacts [387] republicans,one [387] work,republicans [387] reutersfacts,gave Top Word Pairs in Tweet in G1:
[82] 22faithoverfear,cdcgov [81] covid,19 [69] learn,more [64] updated,bivalent [63] #covid19,booster [62] bivalent,#covid19 [55] make,sure [52] state,local [51] local,territorial [49] cdcgov,cdc Top Word Pairs in Tweet in G2:
[1062] cdcdirector,cdcgov [110] cdcgov,us_fda [99] timrunshismouth,cdcdirector [93] experiment,casualties [93] us_fda,#publichealth [93] experimenting,cdcdirector [93] #publichealth,never [93] eua,experiment [93] stopped,experimenting [93] casualties,cdcgov Top Word Pairs in Tweet in G3:
[400] cdcgov,cdcdirector [374] potus,nih [348] danaparish,cdcgov [275] cdcdirector,potus [140] cdcdirector,cdcgov [104] ashishkjha,potus [100] cdcdirector,ashishkjha [91] suddenly,dies [91] radio,silence [90] flint,suddenly Top Word Pairs in Tweet in G4:
[390] fact,checks [387] republicans,one [387] hours,respond [387] election,reutersfacts [387] before,election [387] checks,work [387] reutersfacts,gave [387] gave,hours [387] week,before [387] work,republicans Top Word Pairs in Tweet in G5:
[151] alexander_tin,cdcgov [124] hospitalization,data [123] covid,hospitalization [122] overnight,shows [122] climbing,wake [122] cdcgov's,tracker [122] posted,overnight [122] data,cdcgov's [122] wake,thanksgiving [122] tracker,posted Top Word Pairs in Tweet in G6:
[31] winter,coming [29] cdcemergency,winter [27] covid,19 [26] #emergency,kit [26] flashlight,batteries [26] food,water [26] coming,#beready [26] includes,food [26] batteries,car [26] roadside,#emergency Top Word Pairs in Tweet in G7:
[29] cdcgov,cdcdirector [11] ve,scheduled [11] u5,bivalent [11] checking,ve [11] bivalent,acip [11] scheduled,u5 [11] save,trouble [11] heyy,cdcgov [11] trouble,obsessively [11] cdcdirector,save Top Word Pairs in Tweet in G8:
[40] rosannascotto,cdcgov [18] high,community [14] cdcdirector,cdcgov [12] cdcgov,rweingarten [12] covid,19 [9] nyc,high [9] rweingarten,told [9] boroughs,nyc [9] boroughs,high [9] levels,#covid Top Word Pairs in Tweet in G9:
[50] elonmusk,twittersupport [40] acct,disabled [40] lapublichealth,official [40] please,fix [40] twittersupport,please [40] government,twitter [40] official,government [40] fix,lapublichealth [40] twitter,acct [31] cdcgov,californiadep11 Top Word Pairs in Tweet in G10:
[22] cdcgov,wsj [22] healthyfla,cdcgov [19] cdcgapmisapp,cdcinjury [18] washingtonpost,cdcgov [18] wsj,cdcgapmisapp [16] texmed,cdcgov [16] cdcgov,deahq [13] chaddkollas,healthyfla [12] laurenweberhp,washingtonpost [12] jeremyredfernfl,chaddkollas 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:
Top Replied-To in G5:
Top Replied-To in G6:
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:
Top Mentioned in G3:
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:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: