The graph represents a network of 829 Twitter users whose recent tweets were included in a list (Tweet ID List - p_h_s_official - remapped) 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 Wednesday, 31 March 2021 at 11:45 UTC.
The tweets in the network were tweeted over the 1302-day, 23-hour, 29-minute period from Thursday, 31 August 2017 at 10:41 UTC to Friday, 26 March 2021 at 10:11 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 : 829
Unique Edges : 1414
Edges With Duplicates : 5154
Total Edges : 6568
Self-Loops : 1875
Reciprocated Vertex Pair Ratio : 0.0602189781021898
Reciprocated Edge Ratio : 0.113597246127367
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 829
Maximum Edges in a Connected Component : 6568
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.992803
Graph Density : 0.00253929127113162
Modularity : 0.155912
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 829 Twitter users whose recent tweets were included in a list (Tweet ID List - p_h_s_official - remapped) 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 Wednesday, 31 March 2021 at 11:45 UTC.
The tweets in the network were tweeted over the 1302-day, 23-hour, 29-minute period from Thursday, 31 August 2017 at 10:41 UTC to Friday, 26 March 2021 at 10:11 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 - p_h_s_official - remapped
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:
[424] find,out [415] public,health [299] out,more [271] https,t [271] t,co [220] mental,health [177] read,more [158] covid,19 [141] health,scotland [137] health,inequalities Top Word Pairs in Tweet in G1:
[320] public,health [294] find,out [198] out,more [193] https,t [193] t,co [159] mental,health [131] read,more [117] covid,19 [117] health,inequalities [112] health,scotland Top Word Pairs in Tweet in G2:
[71] find,out [58] out,more [53] https,t [53] t,co [46] mental,health [34] public,health [32] read,more [28] first,minister [25] scotland,s [25] young,people Top Word Pairs in Tweet in G3:
[42] public,health [11] find,out [11] https,t [11] t,co [8] key,public [8] human,rights [8] health,inequalities [8] out,more [8] health,stories [7] health,scotland Top Word Pairs in Tweet in G4:
[13] place,standard [9] physical,activity [6] health,wellbeing [6] standard,tool [6] find,out [5] #placestandard,tool [5] public,health [5] out,more [4] young,people [4] nhs_hs,arcdessco Top Word Pairs in Tweet in G5:
[11] vitamin,d [7] https,t [7] t,co [4] report,https [4] d,supplement [4] health,wellbeing [3] health,inequalities [3] types,cancer [3] new,nhs_hs [3] mental,health Top Word Pairs in Tweet in G6:
[13] child,poverty [13] childhood,adversity [13] find,out [9] out,more [8] health,wellbeing [7] public,health [4] low,income [4] children,aged [4] aged,2 [4] 2,7 Top Word Pairs in Tweet in G7:
[15] find,out [9] out,more [7] flu,vaccine [6] read,more [6] covid,19 [6] protect,child [6] serious,diseases [6] don,t [6] more,information [5] pre,school Top Word Pairs in Tweet in G8:
[4] covid,19 [3] find,out [3] out,more [3] community,planning [3] public,transport [2] pupils,return [2] return,school [2] local,authorities [2] walking,health [2] available,projects Top Word Pairs in Tweet in G9:
[6] find,out [5] mental,health [4] out,more [3] return,work [3] healthy,working [3] working,lives [3] suicide,prevention [2] help,support [2] many,workplaces [2] workplaces,remain Top Word Pairs in Tweet in G10:
[2] nhs_hs,#placestandard [2] video,nhs_hs 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 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: