The graph represents a network of 388 Twitter users whose recent tweets were included in a list (cdcgov - tweet ID import to remap network) of 3200 tweet IDs, or who were replied to or mentioned in those tweets. 3200 out of 3200 tweets were collected. The network was obtained from Twitter on Thursday, 02 July 2020 at 20:17 UTC.
The tweets in the network were tweeted over the 419-day, 20-hour, 2-minute period from Thursday, 09 May 2019 at 21:24 UTC to Thursday, 02 July 2020 at 17:26 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 : 388
Unique Edges : 437
Edges With Duplicates : 4454
Total Edges : 4891
Self-Loops : 2340
Reciprocated Vertex Pair Ratio : 0.065546218487395
Reciprocated Edge Ratio : 0.123028391167192
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 388
Maximum Edges in a Connected Component : 4891
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.986941
Graph Density : 0.00422227550014651
Modularity : 0.084385
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 388 Twitter users whose recent tweets were included in a list (cdcgov - tweet ID import to remap network) of 3200 tweet IDs, or who were replied to or mentioned in those tweets. 3200 out of 3200 tweets were collected. The network was obtained from Twitter on Thursday, 02 July 2020 at 20:17 UTC.
The tweets in the network were tweeted over the 419-day, 20-hour, 2-minute period from Thursday, 09 May 2019 at 21:24 UTC to Thursday, 02 July 2020 at 17:26 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 : cdcgov - tweet ID import to remap network
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:
[779] learn,more [241] public,health [181] cdc,s [176] e,cigarette [174] u,s [170] covid,19 [156] spread,#covid19 [138] cigarette,vaping [136] protect,yourself [112] slow,spread Top Word Pairs in Tweet in G1:
[676] learn,more [185] public,health [165] cdc,s [153] covid,19 [144] e,cigarette [133] u,s [129] spread,#covid19 [127] protect,yourself [119] cigarette,vaping [93] slow,spread Top Word Pairs in Tweet in G2:
[89] learn,more [54] public,health [41] u,s [32] e,cigarette [24] spread,#covid19 [24] #ebola,outbreak [19] cigarette,vaping [18] read,more [18] cdcgov,s [17] loved,ones Top Word Pairs in Tweet in G3:
[3] hurricane,season [2] call,1 [2] 1,800 [2] 800,985 [2] 985,5990 [2] 5990,text [2] text,talkwithus [2] talkwithus,66746 [2] now,time [2] 2020,atlantic Top Word Pairs in Tweet in G4:
[2] community,guide Top Word Pairs in Tweet in G5:
[4] new,cdcgov [3] protect,workers [3] during,#covid19 [3] cdcgov,s [3] s,new [2] usdol,cdcgov [2] cdcgov,nih [2] nih,peacecorps [2] peacecorps,statedept [2] statedept,pepfar Top Word Pairs in Tweet in G6:
[2] new,#podcast [2] state,territory [2] territory,teams [2] cdc,s Top Word Pairs in Tweet in G7:
[6] quit,smoking [4] quitting,smoking [4] learn,more [3] chronic,disease [2] heart,attack [2] help,quit [2] quit,journey [2] cdc,s [2] plan,quit [2] help,stay Top Word Pairs in Tweet in G8:
[2] testing,day [2] #std,tests [2] tests,right 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: