The graph represents a network of 8,319 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, 29 January 2021 at 09:25 UTC.
The requested start date was Friday, 29 January 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 7-day, 1-hour, 12-minute period from Thursday, 21 January 2021 at 12:36 UTC to Thursday, 28 January 2021 at 13:49 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 : 8319
Unique Edges : 4787
Edges With Duplicates : 13003
Total Edges : 17790
Number of Edge Types : 5
Tweet : 1433
Retweet : 5892
MentionsInRetweet : 7586
Replies to : 935
Mentions : 1944
Self-Loops : 1448
Reciprocated Vertex Pair Ratio : 0.00904026069588983
Reciprocated Edge Ratio : 0.0179185331805396
Connected Components : 1184
Single-Vertex Connected Components : 377
Maximum Vertices in a Connected Component : 3639
Maximum Edges in a Connected Component : 8907
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 5.353948
Graph Density : 0.000138719000624329
Modularity : 0.535943
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 8,319 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, 29 January 2021 at 09:25 UTC.
The requested start date was Friday, 29 January 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 7-day, 1-hour, 12-minute period from Thursday, 21 January 2021 at 12:36 UTC to Thursday, 28 January 2021 at 13:49 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:
[910] acted,unlawfully [906] unlawfully,spending [903] know,whether [902] whether,acted [887] jolyonmaugham,government [885] public,interest [876] interest,know [874] spending,hundreds [869] government,public [866] hundreds,million Top Word Pairs in Tweet in G1:
[820] acted,unlawfully [816] unlawfully,spending [812] know,whether [812] whether,acted [798] jolyonmaugham,government [792] public,interest [789] interest,know [788] spending,hundreds [783] government,public [780] hundreds,million Top Word Pairs in Tweet in G2:
[816] read,room [816] room,re [816] re,telling [816] telling,120m [816] 120m,national [816] national,festival [816] festival,celebrating [816] celebrating,countries [816] countries,worst [816] worst,political Top Word Pairs in Tweet in G3:
[17] full,ppe [13] personal,protective [12] covid,19 [12] protective,equipment [11] क,ट [10] pakai,ppe [8] ppe,क [7] प,स [7] read,more [7] स,न Top Word Pairs in Tweet in G4:
[246] government,dodgy [244] against,government [243] know,everydoctoruk [243] everydoctoruk,running [243] running,legal [243] legal,cases [243] cases,goodlawproject [243] goodlawproject,against [242] jujuliagrace,know [242] dodgy,pp Top Word Pairs in Tweet in G5:
[769] ร,ธ [731] #ล,ทธ [731] ขนตาเพ,ร [727] ทธ,ขนตาเพ [288] #perthtanapon,#kdppe [270] #kdppe,#perthtanapon [263] ธ,#perthtanapon [194] ธ,#kdppe [117] เสน,ห [105] ppetrends,#ล Top Word Pairs in Tweet in G6:
[240] defense,production [240] production,act [238] invoking,defense [236] biden,invoking [236] act,maximize [236] maximize,supply [236] supply,chain [236] chain,fight [236] fight,against [236] against,covid Top Word Pairs in Tweet in G7:
[32] track,trace [20] ppe,contracts [11] public,interest [11] hands,covid [10] ppe,track [10] public,money [10] gmb,piersmorgan [9] covid,deaths [9] dodgy,ppe [9] covid,patients Top Word Pairs in Tweet in G8:
[209] britain,rolls [209] rolls,successful [209] successful,nhs [209] nhs,vaccination [209] vaccination,programme [209] programme,lets [209] lets,thank [209] thank,architect [209] architect,centralised [209] centralised,public Top Word Pairs in Tweet in G9:
[116] ppe,kits [115] kits,masks [112] masks,exporting [112] exporting,helping [110] helping,countries [107] countries,india [105] fulfilling,needs [105] needs,ppe [101] ગ,ર [99] 2800,ગ Top Word Pairs in Tweet in G10:
[19] nhs,staff [18] 52,000 [18] 000,nhs [18] staff,sick [18] sick,covid [18] covid,hospitals [18] hospitals,under [18] under,intense [18] intense,pressure [18] pressure,strain 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 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: