The graph represents a network of 9,125 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, 16 October 2020 at 07:45 UTC.
The requested start date was Friday, 16 October 2020 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, 20-hour, 58-minute period from Tuesday, 13 October 2020 at 03:01 UTC to Friday, 16 October 2020 at 00:00 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 : 9125
Unique Edges : 4849
Edges With Duplicates : 12723
Total Edges : 17572
Number of Edge Types : 5
Retweet : 5930
MentionsInRetweet : 7465
Replies to : 1094
Mentions : 1981
Tweet : 1102
Self-Loops : 1125
Reciprocated Vertex Pair Ratio : 0.00666464707664344
Reciprocated Edge Ratio : 0.013241047246464
Connected Components : 1111
Single-Vertex Connected Components : 304
Maximum Vertices in a Connected Component : 5315
Maximum Edges in a Connected Component : 11701
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.721404
Graph Density : 0.000119738398803697
Modularity : 0.560776
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 9,125 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, 16 October 2020 at 07:45 UTC.
The requested start date was Friday, 16 October 2020 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, 20-hour, 58-minute period from Tuesday, 13 October 2020 at 03:01 UTC to Friday, 16 October 2020 at 00:00 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:
[1359] preserves,n95 [1359] using,n95 [1358] n95,cheaper [1358] cheaper,mask [1358] mask,swap [1358] swap,top [1358] top,mask [1358] mask,keep [1358] keep,using [1358] n95,vp Top Word Pairs in Tweet in G1:
[1319] preserves,n95 [1319] n95,cheaper [1319] cheaper,mask [1319] mask,swap [1319] swap,top [1319] top,mask [1319] mask,keep [1319] keep,using [1319] using,n95 [1319] n95,vp Top Word Pairs in Tweet in G2:
[508] wow,realdonaldtrump [508] realdonaldtrump,disrespecting [508] disrespecting,elders [508] elders,using [508] using,political [508] political,pawns [508] pawns,again [508] again,remember [508] remember,covid [507] oliviatroye,wow Top Word Pairs in Tweet in G3:
[13] healthcare,workers [13] joe,biden [13] hunter,biden [13] twitter,facebook [13] herd,immunity [10] contracts,mates [10] late,lockdown [9] lockdown,cheltenham [9] cheltenham,races [9] races,take Top Word Pairs in Tweet in G4:
[278] travel,ban [184] caused,mass [145] without,ppe [145] death,#trumpkills [144] video,trump [144] trump,travel [144] ban,without [144] without,plan [144] plan,without [144] ppe,without Top Word Pairs in Tweet in G5:
[23] covid,19 [16] full,ppe [12] healthcare,workers [7] proper,ppe [7] र,क [6] wearing,ppe [6] ppe,kits [6] #mfg,#sme [6] #sme,#industrial [6] #industrial,#valves Top Word Pairs in Tweet in G6:
[394] ppe,shortage [194] months,ppe [194] shortage,cnbc [194] cnbc,shows [194] shows,segment [194] segment,ppe [194] shortage,live [194] live,healthcare [193] meidas_kelly,months [193] healthcare,wor Top Word Pairs in Tweet in G7:
[174] ppe,stockpile [172] trump,took [172] took,office [171] trump,complain [171] complain,obama [171] obama,left [171] left,depleted [171] depleted,ppe [171] stockpile,trump [171] office,january Top Word Pairs in Tweet in G8:
[190] one,full [190] full,ppe [190] ppe,guards [190] guards,wearing [190] wearing,face [190] face,masks [190] masks,requested [190] requested,time [190] time,shortened [189] venturisventi,one Top Word Pairs in Tweet in G9:
[167] health,care [165] around,000 [165] 000,health [165] care,workers [165] workers,died [165] died,covid [165] covid,19 [165] 19,left [165] left,without [165] without,essential Top Word Pairs in Tweet in G10:
[53] healthcare,workers [49] shortage,ppe [48] still,facing [48] facing,shortage [44] ppe,healthcare [43] several,months [43] months,coronavirus [43] coronavirus,crisis [43] crisis,first [43] first,hit 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 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:
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: