The graph represents a network of 8,046 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, 23 May 2022 at 08:51 UTC.
The requested start date was Monday, 23 May 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 3-day, 3-hour, 23-minute period from Thursday, 19 May 2022 at 08:58 UTC to Sunday, 22 May 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 : 8046
Unique Edges : 4960
Edges With Duplicates : 12373
Total Edges : 17333
Number of Edge Types : 5
Replies to : 1481
Mentions : 2547
Retweet : 5114
MentionsInRetweet : 6476
Tweet : 1715
Self-Loops : 1747
Reciprocated Vertex Pair Ratio : 0.0175399644760213
Reciprocated Edge Ratio : 0.0344752345625136
Connected Components : 1100
Single-Vertex Connected Components : 360
Maximum Vertices in a Connected Component : 3440
Maximum Edges in a Connected Component : 8295
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.422484
Graph Density : 0.000141603430986557
Modularity : 0.531373
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,046 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, 23 May 2022 at 08:51 UTC.
The requested start date was Monday, 23 May 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 3-day, 3-hour, 23-minute period from Thursday, 19 May 2022 at 08:58 UTC to Sunday, 22 May 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:
[577] ด,ppe [530] ม,ค [470] let's,move [309] ช,ด [306] เบ,ร [303] ร,ดใส [303] changed,advice [302] remarkable,thread [302] thread,basically [302] basically,showing Top Word Pairs in Tweet in G1:
[286] remarkable,thread [286] thread,basically [286] basically,showing [286] showing,nervtag [286] nervtag,changed [286] changed,advice [286] advice,need [286] need,airborne [286] airborne,protections [286] protections,hospitals Top Word Pairs in Tweet in G2:
[124] track,trace [63] covid,loans [62] cost,living [59] fraudulent,covid [57] 37b,test [56] shame,cost [56] living,rishisunak [56] rishisunak,global [56] global,forces [56] forces,nothing Top Word Pairs in Tweet in G3:
[16] government,underspent [16] mental,health [16] audit,5bn [15] underspent,ppe [15] ppe,mental [15] health,audit [15] spending,finds [14] nsw,government [14] 5bn,covid [14] covid,spending Top Word Pairs in Tweet in G4:
[217] กเพ,ร [206] #520ร,กเพ [206] ร,ธท [202] ธท,กจ [201] กจ,กรวาล [170] love,perth [131] perth,#520ร [73] #kdppe,#perthtanapon [71] ชม,ลล [64] #perthtanapon,#kdppe Top Word Pairs in Tweet in G5:
[300] ด,ppe [298] เบ,ร [298] ช,ด [297] ร,ดใส [297] ดใส,ช [286] ตอนแรกค,ดว [286] ดว,าพ [286] าพ,เบ [285] jakkrittomtom,ตอนแรกค [11] พ,เบ Top Word Pairs in Tweet in G6:
[516] ม,ค [261] ด,ppe [258] ค,าช [258] าช,ด [258] ppe,ค [258] ค,าอาหาร [258] าอาหาร,ค [258] ค,าออกซ [258] าออกซ,เจน [258] เจน,ก Top Word Pairs in Tweet in G7:
[429] let's,move [107] gate,let's [106] fabricant,let's [106] move,grey [106] grey,report [106] report,let's [106] move,party [106] party,gate [106] move,brexit [106] brexit,shit Top Word Pairs in Tweet in G8:
[145] greatest,heist [145] heist,great [145] great,train [145] train,robbery [145] robbery,500 [145] 500,000 [145] 000,wasted [145] wasted,focus [145] focus,groups [145] groups,repair Top Word Pairs in Tweet in G9:
[199] according,reports [199] reports,tigray [199] tigray,ayder [199] ayder,hospital [199] hospital,#tigray [199] #tigray,35 [199] 35,53 [199] 53,staffers [199] staffers,tested [199] tested,positive Top Word Pairs in Tweet in G10:
[11] ppe_sale,youchamp [11] youchamp,peterdclack [11] peterdclack,jansummersalt [6] uk,government [6] health,secretary [5] silvercab49,stokeycab [4] fusilier,lee [4] lee,rigby [4] batcaveslimer,ppe_sale [4] breaking,news Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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: