The graph represents a network of 438 Twitter users whose recent tweets were included in a list (Tweet ID List - @phe_uk - network from Jan 2020) of 3314 tweet IDs, or who were replied to or mentioned in those tweets. 3314 out of 3314 tweets were collected. The network was obtained from Twitter on Wednesday, 31 March 2021 at 14:09 UTC.
The tweets in the network were tweeted over the 455-day, 1-hour, 41-minute period from Wednesday, 01 January 2020 at 10:33 UTC to Wednesday, 31 March 2021 at 12:14 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 : 438
Unique Edges : 596
Edges With Duplicates : 4560
Total Edges : 5156
Self-Loops : 2767
Reciprocated Vertex Pair Ratio : 0.0626740947075209
Reciprocated Edge Ratio : 0.117955439056356
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 438
Maximum Edges in a Connected Component : 5156
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.987949
Graph Density : 0.00398629092086977
Modularity : 0.090995
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 438 Twitter users whose recent tweets were included in a list (Tweet ID List - @phe_uk - network from Jan 2020) of 3314 tweet IDs, or who were replied to or mentioned in those tweets. 3314 out of 3314 tweets were collected. The network was obtained from Twitter on Wednesday, 31 March 2021 at 14:09 UTC.
The tweets in the network were tweeted over the 455-day, 1-hour, 41-minute period from Wednesday, 01 January 2020 at 10:33 UTC to Wednesday, 31 March 2021 at 12:14 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 - @phe_uk - network from Jan 2020
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:
[621] find,out [461] out,more [285] covid,19 [205] more,info [202] wash,hands [189] stay,home [177] surveillance,report [166] read,more [154] https,t [154] t,co Top Word Pairs in Tweet in G1:
[513] find,out [382] out,more [226] covid,19 [177] surveillance,report [163] wash,hands [141] read,more [137] more,info [136] stay,home [134] mental,health [126] read,here Top Word Pairs in Tweet in G2:
[81] find,out [75] tested,positive [68] more,info [59] out,more [52] testing,uk [43] stay,home [43] coronavirus,#covid19 [42] people,tested [42] tests,concluded [42] 2020,total Top Word Pairs in Tweet in G3:
[25] https,t [25] t,co [24] e,learning [20] health,care [14] care,professionals [13] co,3ctmpjvte8 [12] now,https [11] find,out [11] join,thousands [10] brief,e Top Word Pairs in Tweet in G4:
[32] press,conference [18] covid,19 [17] #coronavirus,press [16] watch,live [12] coronavirus,press [12] live,#coronavirus [11] watch,today's [11] today's,coronavirus [11] 2021,speakers [10] live,channels Top Word Pairs in Tweet in G5:
[13] covid,19 [9] vaccination,programme [9] find,out [7] out,more [6] nhs,history [6] 19,vaccine [5] people,aged [5] life,saving [5] programme,nhs [5] public,health Top Word Pairs in Tweet in G6:
[3] london,s [2] s,#covid19 [2] find,out [2] out,more [2] #covid19,pandemic [2] profkevinfenton,explains [2] public,health [2] protect,nhs [2] nhs,save [2] save,lives Top Word Pairs in Tweet in G7:
[2] #covid19,vaccine Top Word Pairs in Tweet in G8:
[3] mental,health [2] coronavirus,wash [2] wash,hands [2] face,covering Top Word Pairs in Tweet in G10:
[2] pregnant,women 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 G9:
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: