The graph represents a network of 1,201 Twitter users whose recent tweets were included in a list (Tweet ID List - @PublicHealth) 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 Monday, 29 June 2020 at 17:57 UTC.
The tweets in the network were tweeted over the 508-day, 3-hour, 55-minute period from Wednesday, 06 February 2019 at 16:28 UTC to Sunday, 28 June 2020 at 20:23 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 : 1201
Unique Edges : 1887
Edges With Duplicates : 5243
Total Edges : 7130
Self-Loops : 1755
Reciprocated Vertex Pair Ratio : 0.110117647058824
Reciprocated Edge Ratio : 0.198389147944044
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1201
Maximum Edges in a Connected Component : 7130
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.995388
Graph Density : 0.0016368304190952
Modularity : 0.183868
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 1,201 Twitter users whose recent tweets were included in a list (Tweet ID List - @PublicHealth) 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 Monday, 29 June 2020 at 17:57 UTC.
The tweets in the network were tweeted over the 508-day, 3-hour, 55-minute period from Wednesday, 06 February 2019 at 16:28 UTC to Sunday, 28 June 2020 at 20:23 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
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:
[1076] public,health [214] u,s [176] open,access [148] cites,ajph [147] check,out [135] health,care [120] climate,change [116] full,study [111] gun,violence [111] covid,19 Top Word Pairs in Tweet in G1:
[764] public,health [179] u,s [114] check,out [98] climate,change [93] health,care [90] gun,violence [88] open,access [76] mental,health [74] covid,19 [74] cites,ajph Top Word Pairs in Tweet in G2:
[69] public,health [16] check,out [11] policy,action [11] action,institute [10] covid,19 [10] determinants,health [10] learn,more [9] publichealth,policy [9] social,determinants [9] u,s Top Word Pairs in Tweet in G3:
[34] public,health [10] learn,more [7] health,professionals [7] climate,change [6] climate,health [5] health,week [5] health,equity [5] nphw,publichealth [5] environmental,health [4] national,public Top Word Pairs in Tweet in G4:
[9] public,health [5] director,publichealth [4] georgesbenjami7,exec [4] exec,director [4] dr,georgesbenjami7 [3] action,institute [3] sociopolitical,influencers [3] terry,gerton [2] through,action [2] #sxswedu,publichealth Top Word Pairs in Tweet in G5:
[15] thenamedicine,publichealth [14] public,health [13] free,webinar [12] join,thenamedicine [11] covid,19 [7] publichealth,free [5] let's,beat [5] beat,cancer [4] follow,along [4] health,emergency Top Word Pairs in Tweet in G6:
[68] public,health [38] health,news [30] news,quiz [20] nationshealth,reports [18] u,s [10] weekly,public [9] past,week [9] allofusresearch,program [8] headlines,past [7] quiz,nationshealth Top Word Pairs in Tweet in G7:
[9] public,health [7] gun,violence [5] twitter,conference [5] physical,activity [5] student,assembly [4] gun,owners [4] activity,twitter [3] twitter,chat [3] learn,more [3] want,hear Top Word Pairs in Tweet in G8:
[86] open,access [85] public,health [74] cites,ajph [57] full,study [46] study,here [40] ajph,study [36] ajph,research [36] now,online [30] health,care [29] study,found Top Word Pairs in Tweet in G9:
[2] school,nutrition [2] usda,secretarysonny [2] food,safety [2] food,supply Top Word Pairs in Tweet in G10:
[5] public,health [4] georges,benjamin [4] publichealth,americanhealth [4] publichealth,executive [4] executive,director [3] dr,georges [2] mass,shootings [2] large,capacity [2] capacity,magazines [2] title,x Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: