The graph represents a network of 6,907 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, 08 November 2021 at 08:44 UTC.
The requested start date was Monday, 08 November 2021 at 01:01 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, 0-hour, 50-minute period from Friday, 05 November 2021 at 11:30 UTC to Sunday, 07 November 2021 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 : 6907
Unique Edges : 2811
Edges With Duplicates : 13917
Total Edges : 16728
Number of Edge Types : 5
MentionsInRetweet : 8003
Mentions : 859
Retweet : 6665
Tweet : 690
Replies to : 511
Self-Loops : 704
Reciprocated Vertex Pair Ratio : 0.00555234239444766
Reciprocated Edge Ratio : 0.0110433682273093
Connected Components : 441
Single-Vertex Connected Components : 146
Maximum Vertices in a Connected Component : 5379
Maximum Edges in a Connected Component : 14046
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.617434
Graph Density : 0.000182244172306005
Modularity : 0.442024
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,907 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, 08 November 2021 at 08:44 UTC.
The requested start date was Monday, 08 November 2021 at 01:01 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, 0-hour, 50-minute period from Friday, 05 November 2021 at 11:30 UTC to Sunday, 07 November 2021 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:
[1698] paid,300m [1694] uniserve,ppe [1692] 300m,uniserve [1687] unwanted,unusable [1680] govt,paid [1677] ppe,unwanted [1676] good,one [1675] one,govt [1675] ppe,turns [1675] unusable,currently Top Word Pairs in Tweet in G1:
[1532] 300m,uniserve [1531] good,one [1531] one,govt [1531] govt,paid [1531] paid,300m [1531] uniserve,ppe [1531] ppe,turns [1526] unwanted,unusable [1525] turns,ppe [1525] ppe,unwanted Top Word Pairs in Tweet in G2:
[878] 1m,day [875] day,store [867] bought,five [867] five,times [867] times,normal [867] normal,price [867] price,much [867] much,ppe [867] ppe,including [867] including,vip Top Word Pairs in Tweet in G3:
[330] government,squander [330] squander,billions [330] billions,over [330] over,priced [330] priced,ppe [330] ppe,used [330] used,turns [330] turns,mistakes [329] goodlawproject,government [329] mistakes,ar Top Word Pairs in Tweet in G4:
[377] 1m,day [377] day,store [354] excess,ppe [353] massive,waste [353] waste,public [353] public,money [353] money,govt [353] govt,paying [353] paying,uniserve [353] uniserve,1m Top Word Pairs in Tweet in G5:
[78] #kdppe,#perthtanapon [51] #perthtanapon,#kdppe [40] love,ppe [40] ppe,#ppe700kloveu [39] schinarat,love [36] ย,นด [33] บเฮ,าส [30] เพ,ร [29] #คล,บเฮ [29] าส,toxic Top Word Pairs in Tweet in G6:
[18] ppe,contracts [12] day,store [10] 1m,day [8] track,trace [6] govt,paid [6] paid,300m [6] ppe,unwanted [6] unwanted,unusable [6] unusable,currently [5] failed,track Top Word Pairs in Tweet in G7:
[14] ppe,scandal [12] exclusive,suffolk [12] suffolk,centre [12] centre,multi [12] multi,million [12] million,alleged [12] alleged,cover [12] cover,government [12] government,ppe [11] east,anglia Top Word Pairs in Tweet in G8:
[38] vip,lane [36] winning,question [36] question,day [36] day,dancardenmp [36] dancardenmp,exposing [36] exposing,reality [36] reality,exclusive [36] exclusive,ministers [36] ministers,vip [36] lane,ppe Top Word Pairs in Tweet in G9:
[64] unusable,ppe [43] horrible,feeling [43] feeling,owen [43] owen,paterson's [43] paterson's,brazen [43] brazen,corruption [43] corruption,pale [43] pale,insignificance [43] insignificance,once [43] once,start Top Word Pairs in Tweet in G10:
[43] government,company [42] uniserve,experience [42] experience,providing [42] providing,ppe [42] ppe,awarded [42] awarded,300 [42] 300,million [42] million,contract [42] contract,government [41] ub5simon,uniserve 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 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:
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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: