The graph represents a network of 7,800 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 Saturday, 03 September 2022 at 08:22 UTC.
The requested start date was Saturday, 03 September 2022 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, 5-hour, 22-minute period from Wednesday, 31 August 2022 at 06:58 UTC to Friday, 02 September 2022 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 : 7800
Unique Edges : 3920
Edges With Duplicates : 12626
Total Edges : 16546
Number of Edge Types : 5
Retweet : 5696
MentionsInRetweet : 6914
Mentions : 1421
Tweet : 1312
Replies to : 1203
Self-Loops : 1333
Reciprocated Vertex Pair Ratio : 0.0126640571033848
Reciprocated Edge Ratio : 0.0250113688040018
Connected Components : 973
Single-Vertex Connected Components : 315
Maximum Vertices in a Connected Component : 4084
Maximum Edges in a Connected Component : 9730
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 4.874564
Graph Density : 0.000144594474636788
Modularity : 0.518509
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 7,800 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 Saturday, 03 September 2022 at 08:22 UTC.
The requested start date was Saturday, 03 September 2022 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, 5-hour, 22-minute period from Wednesday, 31 August 2022 at 06:58 UTC to Friday, 02 September 2022 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:
[972] tory,peer [939] medpro,company [811] million,ppe [806] 203,million [803] awarded,203 [773] ppe,contrac [766] bbclaurakt,breaking [766] breaking,astonished [766] astonished,hear [766] hear,medpro Top Word Pairs in Tweet in G1:
[696] 203,million [694] million,ppe [693] awarded,203 [678] tory,peer [667] medpro,company [666] bbclaurakt,breaking [666] breaking,astonished [666] astonished,hear [666] hear,medpro [666] company,run Top Word Pairs in Tweet in G2:
[474] taxpayers,money [473] shock,horror [473] horror,dodgy [473] dodgy,tory [473] tory,linked [473] linked,ppe [473] ppe,company [473] company,handed [473] handed,200m [473] 200m,taxpayers Top Word Pairs in Tweet in G3:
[503] ppe,graduate [499] year,old [499] old,ppe [498] 23,year [495] qualifications,23 [495] graduate,become [495] become,trustee [495] trustee,brief [495] brief,working [495] working,life Top Word Pairs in Tweet in G4:
[85] track,trace [44] ppe,contracts [28] tory,government [24] money,dumped [24] dumped,burned [24] burned,tory [24] government,mistakenly [24] mistakenly,purchased [24] purchased,billion [24] billion,unusable Top Word Pairs in Tweet in G5:
[455] during,pandemic [454] each,boxes [454] boxes,200 [454] 200,face [454] face,shields [454] shields,surplus [454] surplus,ppe [454] ppe,bought [454] bought,during [454] pandemic,ve Top Word Pairs in Tweet in G6:
[196] お知らせ,なんと [183] なんと,沖縄ファミリーマート [183] enako_cos,お知らせ [176] 沖縄ファミリーマート,さん [176] さん,ppeのコラボ商品の発売が決定しました [176] ppeのコラボ商品の発売が決定しました,詳細は後日発表となるので [176] 詳細は後日発表となるので,続報をお楽しみに [77] この度沖縄ファミリーマート,ppeのコラボ商品の発売が決定しました [77] ppeのコラボ商品の発売が決定しました,後日また詳細の方は発表されるので [77] 後日また詳細の方は発表されるので,お楽しみに Top Word Pairs in Tweet in G7:
[27] سبا,زيارات [27] زيارات,منزلية [27] منزلية,و [27] و,فندقية [27] 24,ساعة [27] في,الرياض [27] جدة,ه [27] ه,نا [27] نا,الان [26] نسعد,بخدمتكم Top Word Pairs in Tweet in G8:
[210] michelle,mone [153] peer,michelle [149] awarded,203m [148] ppe,contracts [147] company,linked [145] mone,awarded [144] linked,conservative [144] conservative,peer [144] 203m,worth [143] contracts,government Top Word Pairs in Tweet in G9:
[176] medpro,company [163] ppe,medpro [161] company,ripped [161] ripped,nhs [161] nhs,79m [161] 79m,selling [161] selling,unusable [161] unusable,ppe [161] ppe,being [161] being,wound Top Word Pairs in Tweet in G10:
[18] をフォロー,この投稿をrt [10] 23,59まで [10] 31,水 [9] レペゼン,令和の虎 [8] company,awarded [8] awarded,203 [8] 203,million [8] million,ppe [8] ppe,contract [8] winding,non 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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:
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: