The graph represents a network of 326 Twitter users whose recent tweets were included in a list (Tweet ID List - cdcgov Jan 2020-Mar 2021 inclusive) of 4120 tweet IDs, or who were replied to or mentioned in those tweets. 4120 out of 4120 tweets were collected. The network was obtained from Twitter on Saturday, 24 April 2021 at 11:21 UTC.
The tweets in the network were tweeted over the 454-day, 5-hour, 32-minute period from Wednesday, 01 January 2020 at 15:33 UTC to Tuesday, 30 March 2021 at 21:05 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 : 326
Unique Edges : 395
Edges With Duplicates : 5501
Total Edges : 5896
Self-Loops : 3261
Reciprocated Vertex Pair Ratio : 0.0823754789272031
Reciprocated Edge Ratio : 0.152212389380531
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 326
Maximum Edges in a Connected Component : 5896
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.984042
Graph Density : 0.00533270410571024
Modularity : 0.061267
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 326 Twitter users whose recent tweets were included in a list (Tweet ID List - cdcgov Jan 2020-Mar 2021 inclusive) of 4120 tweet IDs, or who were replied to or mentioned in those tweets. 4120 out of 4120 tweets were collected. The network was obtained from Twitter on Saturday, 24 April 2021 at 11:21 UTC.
The tweets in the network were tweeted over the 454-day, 5-hour, 32-minute period from Wednesday, 01 January 2020 at 15:33 UTC to Tuesday, 30 March 2021 at 21:05 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 : TwitterIDList
Graph Term : Tweet ID List - cdcgov Jan 2020-Mar 2021 inclusive
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1363] learn,more [736] covid,19 [361] spread,#covid19 [303] slow,spread [294] cdc,s [273] protect,yourself [244] wash,hands [234] public,health [209] u,s [209] during,#covid19 Top Word Pairs in Tweet in G1:
[1140] learn,more [667] covid,19 [285] spread,#covid19 [260] cdc,s [256] slow,spread [221] protect,yourself [211] wash,hands [189] public,health [180] u,s [175] 6,feet Top Word Pairs in Tweet in G2:
[58] learn,more [40] spread,#covid19 [24] prevent,spread [21] covid,19 [21] during,#covid19 [20] slow,spread [20] face,covering [19] check,out [19] loved,ones [19] more,cdcgov Top Word Pairs in Tweet in G3:
[27] public,health [25] learn,more [19] covid,19 [18] social,distancing [18] slow,spread [17] spread,#covid19 [11] #covid19,pandemic [11] wash,hands [10] nation,s [8] wear,face Top Word Pairs in Tweet in G4:
[81] learn,more [28] protect,yourself [16] cloth,face [15] during,#covid19 [15] spread,#covid19 [14] don,t [14] carbon,monoxide [13] covid,19 [13] face,covering [12] stay,safe Top Word Pairs in Tweet in G5:
[10] learn,more [5] cdc,s [5] covid,19 [4] healthcare,workers [4] workers,join [4] join,cdcgov [4] thursday,8am [4] 8am,edt [4] edt,latest [4] latest,#covid19 Top Word Pairs in Tweet in G6:
[32] learn,more [8] more,#vetoviolence [5] older,adults [5] loved,ones [5] help,prevent [4] violence,learn [3] more,#rxawareness [3] loved,one [3] youth,violence [3] young,people Top Word Pairs in Tweet in G7:
[8] learn,more [7] cdc,s [6] during,pregnancy [5] check,out [5] oral,health [5] warning,signs [4] pregnancy,related [3] physical,activity [3] urgent,maternal [3] maternal,warning Top Word Pairs in Tweet in G9:
[2] social,media Top Word Pairs in Tweet in G10:
[3] dr,erin [3] erin,k [3] k,sauber [3] sauber,schatz [2] schatz,cdcgov Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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: