The graph represents a network of 8,043 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 Friday, 24 June 2022 at 08:13 UTC.
The requested start date was Friday, 24 June 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, 3-hour, 35-minute period from Tuesday, 21 June 2022 at 08:45 UTC to Thursday, 23 June 2022 at 12:20 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 : 8043
Unique Edges : 4649
Edges With Duplicates : 12340
Total Edges : 16989
Number of Edge Types : 5
Retweet : 5460
MentionsInRetweet : 6985
Tweet : 1457
Mentions : 1757
Replies to : 1330
Self-Loops : 1475
Reciprocated Vertex Pair Ratio : 0.00882352941176471
Reciprocated Edge Ratio : 0.0174927113702624
Connected Components : 963
Single-Vertex Connected Components : 292
Maximum Vertices in a Connected Component : 3682
Maximum Edges in a Connected Component : 8271
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.253931
Graph Density : 0.000143177820359561
Modularity : 0.530789
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,043 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 Friday, 24 June 2022 at 08:13 UTC.
The requested start date was Friday, 24 June 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, 3-hour, 35-minute period from Tuesday, 21 June 2022 at 08:45 UTC to Thursday, 23 June 2022 at 12:20 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:
[939] ppe,equipment [936] supply,ppe [933] fast,tracked [930] serious,question [930] question,someone [930] someone,explain [930] explain,companies [930] companies,fast [930] tracked,supply [930] equipment,owned Top Word Pairs in Tweet in G1:
[807] serious,question [807] question,someone [807] someone,explain [807] explain,companies [807] companies,fast [807] fast,tracked [807] tracked,supply [807] supply,ppe [807] ppe,equipment [807] equipment,owned Top Word Pairs in Tweet in G2:
[805] taxpayer,paid [802] tory,mp [802] mp,victoria [802] victoria,atkins [802] atkins,taxpayer [802] paid,16bn [802] 16bn,rail [802] rail,industry [802] industry,taxpayer [802] taxpayer,seen Top Word Pairs in Tweet in G3:
[127] track,trace [85] ve,front [85] front,hear [85] hear,dead [85] dead,cat [85] cat,bouncing [85] bouncing,fund [85] fund,nhs [85] nhs,years [85] years,give Top Word Pairs in Tweet in G4:
[15] ppe,contracts [10] ช,ด [9] dodgy,ppe [9] full,ppe [9] rs,100 [8] manish,sisodia [8] against,delhi [7] assam,cm [7] 100,crore [7] defamation,suit Top Word Pairs in Tweet in G5:
[249] made,work [249] work,without [249] without,ppe [248] 22nd,march [248] march,2020 [248] 2020,belly [248] belly,mujinga [248] mujinga,47 [248] 47,made [248] ppe,concourse Top Word Pairs in Tweet in G6:
[209] assam,cm [200] against,aap [138] rs,100 [136] himanta,biswa [136] files,rs [127] defamation,suit [127] suit,against [125] 100,cr [125] cr,defamation [123] biswa,sarma Top Word Pairs in Tweet in G7:
[14] partir,14 [14] 14,00h [14] 00h,nunezfeijoo [14] nunezfeijoo,atiende [14] atiende,medios [14] medios,tras [14] tras,cumbre [14] cumbre,ppe_es [14] ppe_es,bruselas [14] bruselas,síguelo Top Word Pairs in Tweet in G8:
[247] क,म [165] स,स [165] स,द [165] द,य [153] मन,ष [153] ष,स [141] म,नह [133] क,पत [133] पत,न [127] 100,कर Top Word Pairs in Tweet in G9:
[179] answer,question [179] answers,#partygate [179] #partygate,ppe [178] prime,minister [178] minister,answer [178] question,clearer [178] clearer,much [178] much,answers [177] cpjelmore,prime [177] ppe,contrac Top Word Pairs in Tweet in G10:
[133] pay,restraint [132] talk,pay [132] restraint,public [132] public,workers [132] workers,burn [132] burn,4bn [132] 4bn,ppe [132] ppe,write [132] write,another [132] another,4bn 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 G5:
Top Replied-To in G6:
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:
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:
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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: