The graph represents a network of 9,634 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 Wednesday, 16 September 2020 at 07:55 UTC.
The requested start date was Wednesday, 16 September 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 4-day, 17-hour, 23-minute period from Friday, 11 September 2020 at 06:36 UTC to Wednesday, 16 September 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 : 9634
Unique Edges : 5861
Edges With Duplicates : 12698
Total Edges : 18559
Number of Edge Types : 5
Retweet : 5739
MentionsInRetweet : 7452
Tweet : 1244
Replies to : 1322
Mentions : 2802
Self-Loops : 1266
Reciprocated Vertex Pair Ratio : 0.0106093324570463
Reciprocated Edge Ratio : 0.0209959123002601
Connected Components : 1259
Single-Vertex Connected Components : 320
Maximum Vertices in a Connected Component : 4535
Maximum Edges in a Connected Component : 10061
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 8.802135
Graph Density : 0.00011598597746342
Modularity : 0.585401
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 9,634 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 Wednesday, 16 September 2020 at 07:55 UTC.
The requested start date was Wednesday, 16 September 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 4-day, 17-hour, 23-minute period from Friday, 11 September 2020 at 06:36 UTC to Wednesday, 16 September 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:
[614] task,force [603] white,house [597] covid,task [594] gov,steve [594] steve,sisolak [594] sisolak,cnn [594] cnn,right [594] right,weekly [594] weekly,calls [594] calls,white Top Word Pairs in Tweet in G1:
[582] white,house [582] covid,task [582] task,force [581] gov,steve [581] steve,sisolak [581] sisolak,cnn [581] cnn,right [581] right,weekly [581] weekly,calls [581] calls,white Top Word Pairs in Tweet in G2:
[302] woodward,tapes [302] tapes,actual [302] actual,evidence [302] evidence,donald [302] donald,knew [302] knew,covid [302] covid,airborne [302] airborne,far [302] far,more [302] more,lethal Top Word Pairs in Tweet in G3:
[303] another,32 [303] 32,contract [303] contract,award [303] award,notices [303] notices,ppe [303] ppe,published [303] published,today [303] today,worth [303] worth,total [303] total,value Top Word Pairs in Tweet in G4:
[18] learn,more [16] covid,19 [16] more,click [16] click,#sales [16] #sales,#mba [16] #mba,#course [16] #course,#salescourse [16] #salescourse,#business [16] #business,#jobs [16] #jobs,#workfromhome Top Word Pairs in Tweet in G5:
[29] lovinbebemocha,caslernoel [29] caslernoel,owe [29] owe,frontline [29] frontline,workers [29] workers,wear [29] wear,garbage [29] garbage,bags [29] bags,homemade [29] homemade,masks [29] masks,trump Top Word Pairs in Tweet in G6:
[294] one,confident [294] confident,government [294] government,paid [294] paid,500m [294] 500m,wrong [294] wrong,satellites [294] satellites,gave [294] gave,15bn [294] 15bn,pals [294] pals,without Top Word Pairs in Tweet in G7:
[536] ज,ल [293] ट,ल [292] घ,ट [288] क,ट [278] क,र [276] न,व [275] क,स [274] ज,र [273] र,न [271] न,क Top Word Pairs in Tweet in G8:
[213] wednesday,#pmqs [213] #pmqs,borisjohnson [213] borisjohnson,invited [213] invited,write [213] write,detailing [213] detailing,concerns [213] concerns,government [213] government,procurement [212] rushanaraali,wednesday [13] procure4health,another Top Word Pairs in Tweet in G9:
[16] hillaryclinton,february [16] february,chuckling [16] chuckling,ellen [16] ellen,show [16] show,trump [16] trump,deploying [16] deploying,navy [16] navy,hospitals [16] hospitals,both [16] both,coasts Top Word Pairs in Tweet in G10:
[17] etfopresident,minister [16] class,sizes [14] minister,ppe [14] ppe,more [14] more,custodians [14] custodians,nurses [14] nurses,important [14] important,nothing [14] nothing,reducing [14] reducing,class 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 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: