The graph represents a network of 793 Twitter users whose recent tweets were included in a list (Tweet ID List - phe_uk) 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 Sunday, 28 June 2020 at 19:14 UTC.
The tweets in the network were tweeted over the 426-day, 17-hour, 3-minute period from Friday, 26 April 2019 at 18:30 UTC to Friday, 26 June 2020 at 11:33 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 : 793
Unique Edges : 1120
Edges With Duplicates : 4628
Total Edges : 5748
Self-Loops : 2158
Reciprocated Vertex Pair Ratio : 0.127692307692308
Reciprocated Edge Ratio : 0.226466575716235
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 793
Maximum Edges in a Connected Component : 5748
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.993343
Graph Density : 0.00233418676041627
Modularity : 0.14533
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 793 Twitter users whose recent tweets were included in a list (Tweet ID List - phe_uk) 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 Sunday, 28 June 2020 at 19:14 UTC.
The tweets in the network were tweeted over the 426-day, 17-hour, 3-minute period from Friday, 26 April 2019 at 18:30 UTC to Friday, 26 June 2020 at 11:33 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
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:
[550] find,out [364] out,more [301] public,health [263] mental,health [164] health,inequalities [140] tested,positive [134] stay,home [130] https,t [130] t,co [111] make,sure Top Word Pairs in Tweet in G1:
[473] find,out [315] out,more [245] public,health [215] mental,health [139] health,inequalities [105] stay,home [95] edition,#phehealthmatters [92] make,sure [87] read,more [86] duncan,selbie Top Word Pairs in Tweet in G2:
[70] tested,positive [52] testing,uk [42] coronavirus,#covid19 [42] tests,concluded [42] 2020,total [41] people,tested [37] latest,information [36] positive,coronavirus [36] more,info [34] information,visit Top Word Pairs in Tweet in G3:
[29] find,out [22] https,t [22] t,co [19] out,more [15] now,https [12] mental,health [12] e,learning [11] health,care [9] phe_uk,#allourhealth [9] view,now Top Word Pairs in Tweet in G4:
[11] public,health [5] ahpfederation,phe_uk [5] duncan,selbie [4] great,see [4] ahp,public [3] pleased,part [3] part,journey [3] journey,recognise [3] recognise,potential [3] potential,ahps Top Word Pairs in Tweet in G5:
[19] #uv,levels [10] very,high [8] moderate,high [8] levels,high [7] #pollen,levels [7] mental,health [6] phe_uk,ageing_better [6] england,best [6] best,place [6] place,world Top Word Pairs in Tweet in G6:
[7] mental,health [3] gregorwell,judestansfield [2] healthy,places [2] public,health [2] today,phe_uk [2] healthy,spaces [2] spaces,help [2] help,physical [2] physical,mental [2] simple,steps Top Word Pairs in Tweet in G7:
[8] health,inequalities [5] sarah,sweeney [4] duncan,selbie [4] sweeney,gypsytravellers [3] #expo19nhs,exponhs [3] #expo19nhs,phe_uk [3] prof,chris [3] chris,bentley [2] need,make [2] who_europe,whoemro Top Word Pairs in Tweet in G8:
[3] democratic,republic [3] republic,congo [2] find,vaccine [2] behaviour,change [2] change,risk [2] risk,communication [2] phe_uk,_africanunion [2] public,health Top Word Pairs in Tweet in G9:
[4] whole,systems [4] public,health [4] find,out [3] phe_uk,adphuk [3] systems,approach [2] phe_uk,collegeofpolice [2] adphuk,lgawellbeing [2] based,approaches [2] local,areas [2] vp,jimmcmanusph Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: