The graph represents a network of 6,876 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 Thursday, 01 December 2022 at 10:38 UTC.
The requested start date was Thursday, 01 December 2022 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, 54-minute period from Monday, 28 November 2022 at 11:26 UTC to Wednesday, 30 November 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 : 6876
Unique Edges : 3721
Edges With Duplicates : 13579
Total Edges : 17300
Number of Edge Types : 5
Retweet : 6217
MentionsInRetweet : 7772
Replies to : 860
Mentions : 1177
Tweet : 1274
Self-Loops : 1287
Reciprocated Vertex Pair Ratio : 0.00590069026942774
Reciprocated Edge Ratio : 0.011732152739347
Connected Components : 661
Single-Vertex Connected Components : 300
Maximum Vertices in a Connected Component : 4842
Maximum Edges in a Connected Component : 13508
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.655481
Graph Density : 0.00019112591887461
Modularity : 0.469651
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,876 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 Thursday, 01 December 2022 at 10:38 UTC.
The requested start date was Thursday, 01 December 2022 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, 54-minute period from Monday, 28 November 2022 at 11:26 UTC to Wednesday, 30 November 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:
[2547] michelle,mone [899] corrupt,ppe [887] ppe,contracting [887] down,alone [887] won,go [887] mone,alleged [887] alleged,involvement [887] contracting,edge [887] involvement,corrupt [887] edge,won Top Word Pairs in Tweet in G1:
[741] michelle,mone [720] alleged,involvement [720] ppe,contracting [720] involvement,corrupt [720] won,go [720] mone,alleged [720] edge,won [720] contracting,edge [720] go,down [720] corrupt,ppe Top Word Pairs in Tweet in G2:
[315] stole,taxes [314] rubbish,ppe [314] ppe,offshored [314] person,one [314] one,stole [314] pictured,person [314] taxes,rubbish [314] tell,pictured [313] offshored,mon [313] ameliaj75679765,tell Top Word Pairs in Tweet in G3:
[255] michelle,mone [154] ppe,medpro [92] michael,gove [88] public,inquiry [86] medpro,scandal [68] tory,peer [64] inquiry,michelle [63] peer,michelle [61] gove,ppe [60] demanding,public Top Word Pairs in Tweet in G4:
[295] michelle,mone [120] company,medpro [115] baroness,michelle [113] michael,gove [109] medpro,incorporated [109] husband's,company [109] lobbying,michael [109] gove,before [109] started,lobbying [109] before,husband's Top Word Pairs in Tweet in G5:
[73] day,store [68] store,unused [67] seekers,drip [67] home,office [67] office,altering [67] unused,ppe [67] diphtheria,home [67] dates,child [67] drip,feed [67] million,day Top Word Pairs in Tweet in G6:
[116] michelle,mone [64] tory,peer [46] track,trace [40] ppe,contracts [39] ppe,medpro [36] peer,michelle [35] test,trace [34] public,money [33] useless,ppe [33] douglas,barrowman Top Word Pairs in Tweet in G7:
[144] michelle,mone [142] tory,peer [141] peer,michelle [140] unsafe,ppe [140] 29m,public [140] reportedly,pocketed [140] pocketed,29m [140] mone,reportedly [140] public,money [140] money,unsafe Top Word Pairs in Tweet in G8:
[83] michelle,mone [68] tory,mps [67] referred,tory [67] mps,peers [67] firms,referred [56] deals,see [56] vip,firms [56] see,profits [56] profits,soar [45] ppe,deals Top Word Pairs in Tweet in G9:
[213] matt,hancock [179] penis,nurses [179] really,care [179] humbly,matt [179] camel's,penis [179] hospital,died [179] nurses,hospital [179] cheerfully,humbly [179] eats,camel's [179] hancock,eats Top Word Pairs in Tweet in G10:
[107] ppe,medpro [97] michelle,mone [70] perform,ppe [70] answers,checks [70] public,deserve [70] tax,affairs [70] financial,tax [70] affairs,before [70] deserve,answers [70] checks,tory Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: