The graph represents a network of 7,750 Twitter users whose tweets in the requested range contained "PPE", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 29 June 2021 at 07:55 UTC.
The requested start date was Tuesday, 29 June 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 1-hour, 41-minute period from Saturday, 26 June 2021 at 10:42 UTC to Monday, 28 June 2021 at 12:24 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 : 7750
Unique Edges : 3999
Edges With Duplicates : 13120
Total Edges : 17119
Number of Edge Types : 5
Tweet : 1052
Retweet : 6148
MentionsInRetweet : 7741
Mentions : 1280
Replies to : 898
Self-Loops : 1069
Reciprocated Vertex Pair Ratio : 0.00740899817459465
Reciprocated Edge Ratio : 0.0147090172671072
Connected Components : 877
Single-Vertex Connected Components : 246
Maximum Vertices in a Connected Component : 4420
Maximum Edges in a Connected Component : 11431
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.79549
Graph Density : 0.000156224112164317
Modularity : 0.510975
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 7,750 Twitter users whose tweets in the requested range contained "PPE", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 29 June 2021 at 07:55 UTC.
The requested start date was Tuesday, 29 June 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 1-hour, 41-minute period from Saturday, 26 June 2021 at 10:42 UTC to Monday, 28 June 2021 at 12:24 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 : GraphServerTwitterSearch
Graph Term : PPE
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1322] matt,hancock [718] ppe,contracts [687] care,home [641] care,homes [611] home,deaths [609] deaths,ppe [551] serco,contract [551] ppe,disaster [549] contract,care [542] disaster,treatment Top Word Pairs in Tweet in G1:
[277] breaking,tests [277] tests,reveal [277] reveal,matthancock [277] matthancock,suffering [277] suffering,long [277] long,crony [277] crony,condition [277] condition,cronyvirus [277] cronyvirus,lies [276] theonlypeterkay,breaking Top Word Pairs in Tweet in G2:
[483] matt,hancock [457] care,home [456] home,deaths [454] serco,contract [452] contract,care [451] hancock,resigned [451] over,serco [451] deaths,ppe [449] ppe,disaster [449] disaster,treatment Top Word Pairs in Tweet in G3:
[316] ppe,contracts [239] clivewismayer,goodlawproject [226] goodlawproject,taking [225] taking,govt [225] govt,cleaners [225] cleaners,over [225] over,corrupt [225] corrupt,ppe [225] contracts,ministers [225] ministers,hancock Top Word Pairs in Tweet in G4:
[329] means,government [329] government,hold [329] hold,records [329] records,much [309] much,hancock [309] hancock,decision [309] decision,making [309] making,including [309] including,negotiating [307] peterstefanovi2,means Top Word Pairs in Tweet in G5:
[83] care,homes [65] #armedforcesday,thank [65] thank,fantastic [65] fantastic,service [65] service,personnel [65] personnel,home [65] home,abroad [65] abroad,tireless [65] tireless,work [64] borisjohnson,#armedforcesday Top Word Pairs in Tweet in G6:
[88] samir,jassal [86] pritipatel,lobbied [86] lobbied,government [86] government,pharmaceuticals [86] pharmaceuticals,direct [86] direct,limited [86] limited,being [86] being,approached [86] approached,samir [86] jassal,tory Top Word Pairs in Tweet in G7:
[237] pm,hires [237] hires,health [237] health,sec [237] sec,calls [237] calls,hopeless [237] hopeless,watches [237] watches,give [237] give,nhs [237] nhs,contracts [237] contracts,family Top Word Pairs in Tweet in G8:
[22] ppe,contracts [11] covid,19 [9] matt,hancock [8] test,trace [8] care,homes [7] ppe,kit [6] 'ﾟ,'ﾟ [5] ppe,corruption [5] wearing,ppe [5] ppe,procurement Top Word Pairs in Tweet in G9:
[63] workers,died [62] tories,gorged [62] gorged,themselves [62] themselves,covid [62] covid,trough [62] trough,health [62] health,front [62] front,line [62] line,workers [62] died,lack Top Word Pairs in Tweet in G10:
[199] worst,covid [199] covid,death [163] matt,hancock [160] care,homes [156] davidschneider,matt [150] 150,000 [149] hancock,over [149] over,150 [149] 000,covid [149] covid,deaths Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
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:
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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:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: