The graph represents a network of 1,470 Twitter users whose recent tweets were included in a list (Tweet ID List - @publichealth - reconstructed) 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 Saturday, 24 April 2021 at 10:27 UTC.
The tweets in the network were tweeted over the 470-day, 7-hour, 46-minute period from Tuesday, 17 December 2019 at 17:11 UTC to Thursday, 01 April 2021 at 00:58 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 : 1470
Unique Edges : 2410
Edges With Duplicates : 5345
Total Edges : 7755
Self-Loops : 1588
Reciprocated Vertex Pair Ratio : 0.124109486314211
Reciprocated Edge Ratio : 0.220813875917278
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1470
Maximum Edges in a Connected Component : 7755
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.996171
Graph Density : 0.00138832932764665
Modularity : 0.20587
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,470 Twitter users whose recent tweets were included in a list (Tweet ID List - @publichealth - reconstructed) 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 Saturday, 24 April 2021 at 10:27 UTC.
The tweets in the network were tweeted over the 470-day, 7-hour, 46-minute period from Tuesday, 17 December 2019 at 17:11 UTC to Thursday, 01 April 2021 at 00:58 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 - @publichealth - reconstructed
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:
[1063] public,health [284] covid,19 [246] u,s [176] check,out [130] open,access [118] health,care [109] learn,more [107] health,equity [106] georges,benjamin [90] health,news Top Word Pairs in Tweet in G1:
[761] public,health [198] u,s [198] covid,19 [132] check,out [88] georges,benjamin [84] health,care [78] health,equity [67] learn,more [65] open,access [64] #racismorhealth,#aphawebinar Top Word Pairs in Tweet in G2:
[217] public,health [65] open,access [54] covid,19 [43] health,news [39] now,online [36] news,quiz [29] new,study [27] weekly,public [26] health,care [22] important,headlines Top Word Pairs in Tweet in G3:
[16] public,health [15] climate,health [12] check,out [11] learn,more [10] health,equity [10] u,s [7] publichealth,s [5] climate,change [5] #ecobookworms,book [5] center,climate Top Word Pairs in Tweet in G4:
[17] public,health [11] healthy,people [7] covid,19 [7] people,2030 [7] check,out [6] georgesbenjami7,publichealth [6] dr,georgesbenjami7 [5] u,s [5] let's,beat [5] beat,cancer Top Word Pairs in Tweet in G5:
[26] public,health [10] #apha2020,aphaannualmtg [8] learn,more [8] check,out [6] policy,action [6] action,institute [6] health,crisis [6] publichealth,aphaannualmtg [6] aphaannualmtg,#publichealth [5] register,now Top Word Pairs in Tweet in G6:
[27] thenamedicine,publichealth [22] free,webinar [18] join,thenamedicine [12] covid,19 [12] publichealth,free [6] u,s [6] nam,publichealth [5] register,now [5] best,practices [5] #covid19,vaccine Top Word Pairs in Tweet in G7:
[3] publichealth,president [2] #racism,#publichealth [2] p,m [2] healthy,housing [2] public,health [2] president,jrfpsf Top Word Pairs in Tweet in G8:
[5] public,health [5] u,s [2] want,know [2] know,more [2] check,out [2] free,confidential [2] 24,7 [2] slow,spread [2] #covid19,pandemic [2] out,more Top Word Pairs in Tweet in G9:
[2] publichealth's,#healthstemencement [2] 5pm,edt [2] health,inequities Top Word Pairs in Tweet in G10:
[2] publichealth,schoolnurses [2] ahepp1,nacchoalerts 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 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: