The graph represents a network of 808 Twitter users whose recent tweets were included in a list (Tweet ID List - @p_h_s_official) 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, 06 July 2020 at 16:35 UTC.
The tweets in the network were tweeted over the 1309-day, 6-hour, 24-minute period from Monday, 05 December 2016 at 09:05 UTC to Monday, 06 July 2020 at 15:30 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 : 808
Unique Edges : 1321
Edges With Duplicates : 4883
Total Edges : 6204
Self-Loops : 1871
Reciprocated Vertex Pair Ratio : 0.0220349967595593
Reciprocated Edge Ratio : 0.0431198478123018
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 808
Maximum Edges in a Connected Component : 6204
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.992798
Graph Density : 0.0024185039321776
Modularity : 0.159105
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 808 Twitter users whose recent tweets were included in a list (Tweet ID List - @p_h_s_official) 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, 06 July 2020 at 16:35 UTC.
The tweets in the network were tweeted over the 1309-day, 6-hour, 24-minute period from Monday, 05 December 2016 at 09:05 UTC to Monday, 06 July 2020 at 15:30 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
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:
[368] public,health [333] find,out [214] out,more [180] mental,health [160] health,inequalities [128] https,t [128] t,co [122] health,scotland [120] health,wellbeing [119] human,rights Top Word Pairs in Tweet in G1:
[282] public,health [251] find,out [152] out,more [137] mental,health [131] health,inequalities [111] https,t [111] t,co [99] health,scotland [94] human,rights [90] read,more Top Word Pairs in Tweet in G2:
[74] public,health [36] find,out [30] mental,health [29] out,more [21] social,care [20] health,social [19] scotland,s [18] health,inequalities [18] first,minister [17] human,rights Top Word Pairs in Tweet in G3:
[11] physical,activity [11] place,standard [6] find,out [5] out,more [5] nhs_hs,arcdessco [5] #placestandard,tool [5] standard,tool [4] looking,forward [4] check,out [3] scotgovplanning,nhs_hs Top Word Pairs in Tweet in G4:
[17] find,out [15] child,poverty [11] out,more [10] childhood,adversity [8] health,wellbeing [5] learn,more [5] adverse,childhood [5] childhood,experiences [4] low,income [4] #childpoverty,#healthinequalities Top Word Pairs in Tweet in G5:
[11] find,out [10] out,more [6] mental,health [6] health,inequalities [5] child,poverty [5] health,wellbeing [5] protect,child [5] against,serious [4] health,improvement [4] make,sure Top Word Pairs in Tweet in G6:
[4] sugar,consumed [4] https,t [4] t,co [3] types,cancer [3] new,nhs_hs [3] weight,sugar [3] report,https [3] co,fxx8u4esi2 [2] junk,food [2] new,research Top Word Pairs in Tweet in G7:
[2] join,partners [2] partners,thersaorg [2] thersaorg,bitcscotland [2] bitcscotland,nhs_hs [2] nhs_hs,talk [2] talk,#inclusivegrowth [2] #inclusivegrowth,scotland [2] out,today [2] over,last [2] low,income Top Word Pairs in Tweet in G8:
[2] read,latest [2] latest,#placestandard [2] #placestandard,report [2] report,partners [2] partners,nhs_hs [2] nhs_hs,edcouncil [2] nhs_hs,#placestandard [2] video,nhs_hs Top Word Pairs in Tweet in G9:
[5] find,out [3] return,work [3] mental,health [3] health,safety [3] healthy,working [3] working,lives [2] next,week [2] remember,still [2] many,workplaces [2] workplaces,remain Top Word Pairs in Tweet in G10:
[7] human,rights [3] #allourrights10,film [2] rights,based [2] based,approach [2] national,action [2] action,plan [2] plan,human [2] find,out [2] out,more [2] rights,scotland 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 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: