The graph represents a network of 8,432 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 Monday, 27 September 2021 at 08:44 UTC.
The requested start date was Monday, 27 September 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 3-day, 3-hour, 54-minute period from Thursday, 23 September 2021 at 08:26 UTC to Sunday, 26 September 2021 at 12:21 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 : 8432
Unique Edges : 5720
Edges With Duplicates : 11495
Total Edges : 17215
Number of Edge Types : 5
Retweet : 4528
MentionsInRetweet : 6148
Replies to : 1842
Mentions : 3091
Tweet : 1606
Self-Loops : 1645
Reciprocated Vertex Pair Ratio : 0.0211164541083002
Reciprocated Edge Ratio : 0.0413595413595414
Connected Components : 1371
Single-Vertex Connected Components : 438
Maximum Vertices in a Connected Component : 2265
Maximum Edges in a Connected Component : 5207
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 7.189355
Graph Density : 0.000137402920504139
Modularity : 0.572196
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,432 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 Monday, 27 September 2021 at 08:44 UTC.
The requested start date was Monday, 27 September 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 3-day, 3-hour, 54-minute period from Thursday, 23 September 2021 at 08:26 UTC to Sunday, 26 September 2021 at 12:21 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:
[328] ppe,contracts [289] ช,น [243] ว,นท [243] 00,น [242] set,ช [241] special,41 [241] 41,set [241] น,141 [241] 141,บาท [241] บาท,ว Top Word Pairs in Tweet in G1:
[122] test,trace [121] story,abingdon [121] abingdon,health [121] health,another [121] another,example [121] example,government [121] government,failings [121] failings,ppe [119] ppe,test [118] trace,lack Top Word Pairs in Tweet in G2:
[30] covid,19 [28] full,ppe [18] ppe,waste [15] ppe,kit [14] csir,ncl [14] 19,ppe [13] ncl,ril [12] ril,join [12] join,hands [12] make,useful Top Word Pairs in Tweet in G3:
[219] ppe,contracts [214] huge,thanks [214] thanks,goodlawproject [214] goodlawproject,dogged [214] dogged,pursuit [214] pursuit,truth [214] truth,behind [214] behind,government [214] government,awarding [214] awarding,ppe Top Word Pairs in Tweet in G4:
[156] ironic,being [156] being,told [156] told,panic [156] panic,buy [156] buy,government [156] government,panic [156] panic,bought [156] bought,ppe [156] ppe,nightingale [156] nightingale,hospitals Top Word Pairs in Tweet in G5:
[239] special,41 [239] 41,set [239] set,ช [239] ช,น [239] น,141 [239] 141,บาท [239] บาท,ว [239] ว,นท [239] นท,26 [239] 26,09 Top Word Pairs in Tweet in G6:
[84] stealing,ppe [72] ppe,funds [70] those,implicated [70] implicated,stealing [70] funds,face [70] face,full [70] full,law [70] law,shall [70] shall,leave [70] leave,stone Top Word Pairs in Tweet in G7:
[188] 01,10 [188] 10,น [188] น,ำข [188] ำข,นรวดเร [188] นรวดเร,วม [188] วม,ผ [188] ผ,ต [188] ต,ดค [188] ดค,างในรพ [188] างในรพ,บำเหน Top Word Pairs in Tweet in G8:
[129] hopping,mad [129] mad,friend [129] friend,doctor [129] doctor,#longcovid [129] #longcovid,horrendous [129] horrendous,complications [129] complications,work [129] work,due [129] due,ppe [128] doctorasadkhan,hopping Top Word Pairs in Tweet in G9:
[197] industry,produced [197] produced,cost [197] cost,effective [163] india,always [163] always,seen [163] seen,humanity [163] humanity,one [163] one,family [163] effective,diagnostic [163] diagnostic,kits Top Word Pairs in Tweet in G10:
[17] ppe,contracts [16] care,homes [13] dodgy,ppe [9] grantshapps,theifs [7] breaking,tests [7] tests,reveal [7] reveal,matthancock [7] matthancock,suffering [7] suffering,long [7] long,crony Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
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:
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: