The graph represents a network of 5,591 Twitter users whose recent tweets contained "PPE", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/11/2023 5:00:56 PM. The network was obtained from Twitter on Sunday, 12 February 2023 at 09:22 UTC.
The tweets in the network were tweeted over the 1306-day, 8-hour, 0-minute period from Tuesday, 16 July 2019 at 17:00 UTC to Sunday, 12 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5591
Unique Edges : 1515
Edges With Duplicates : 10672
Total Edges : 12187
Number of Edge Types : 9
Retweet : 4277
MentionsInRetweet : 4655
Quote : 54
Tweet : 380
Mentions : 178
Replies to : 831
MentionsInReplyTo : 1741
MentionsInQuote : 61
MentionsInQuoteReply : 10
Self-Loops : 508
Reciprocated Vertex Pair Ratio : 0.0198445510170332
Reciprocated Edge Ratio : 0.0389168153072807
Connected Components : 438
Single-Vertex Connected Components : 76
Maximum Vertices in a Connected Component : 3689
Maximum Edges in a Connected Component : 8452
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.822522
Graph Density : 0.0001973207003717
Modularity : 0.438999
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,591 Twitter users whose recent tweets contained "PPE", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/11/2023 5:00:56 PM. The network was obtained from Twitter on Sunday, 12 February 2023 at 09:22 UTC.
The tweets in the network were tweeted over the 1306-day, 8-hour, 0-minute period from Tuesday, 16 July 2019 at 17:00 UTC to Sunday, 12 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[3003] michelle,mone [2785] ppe,medpro [2784] mone,ppe [2775] less,weeks [2775] company,less [2775] medpro,company [2775] zero,employee [2775] weeks,old [2775] old,zero [2774] contracts,premises Top Word Pairs in Tweet in G1:
[2667] michelle,mone [2655] less,weeks [2655] medpro,company [2655] zero,employee [2655] old,zero [2655] ppe,medpro [2655] contracts,premises [2655] mone,ppe [2655] company,less [2655] employee,contracts Top Word Pairs in Tweet in G2:
[110] #generalelectionnow,#enoughisenough [109] #moderna,#gove [109] #greencard,infosys [109] #nondom,#greencard [109] #enoughisenough,#nondom [109] infosys,#russia [109] need,#generalelectionnow [109] #russia,#moderna [81] #michellemone,#ppe [80] #gove,#michellemone Top Word Pairs in Tweet in G3:
[179] なんで自分ができる限りのことをせずに人様にあーしろこーしろ言えるんだろ,ほんとに何様なんだろね [179] フルppeでお出かけしようみたいな医者は1人も見かけないんだよね,なんで自分ができる限りのことをせずに人様にあーしろこーしろ言えるんだろ [179] 自分自身がn95着けて外出しようとか,フルppeでお出かけしようみたいな医者は1人も見かけないんだよね [179] マスク外す流れに全力で反対する医者はいても,自分自身がn95着けて外出しようとか [178] dermapython,マスク外す流れに全力で反対する医者はいても [4] さらにいえば常時フルppeを推奨するのならわかりますが,そうしないのは不織布マスク程度で手を打つ [4] という非科学的な妥協をしているということですよね,妥協を許すのであれば [4] たしかに,そこまで感染対策を重要視するならn95を推奨したり [4] そこまで感染対策を重要視するならn95を推奨したり,さらにいえば常時フルppeを推奨するのならわかりますが [4] そうしないのは不織布マスク程度で手を打つ,という非科学的な妥協をしているということですよね Top Word Pairs in Tweet in G4:
[190] michelle,mone [139] supposed,forget [139] happened,tory [139] hubby,supposed [139] anyone,know [139] tory,peer [139] peer,michelle [139] forget,medpro [139] know,happened [139] medpro,created Top Word Pairs in Tweet in G5:
[120] norfolk,southern [119] single,politician [119] go,clean [119] break,strike [119] voted,break [119] single,norfolk [119] exec,go [119] politician,voted [119] southern,exec [119] strike,single Top Word Pairs in Tweet in G6:
[16] ppe,ヤングガンガンデジタル限定写真集 [15] wear,ppe [15] ヤングガンガンデジタル限定写真集,never [15] ending,halloween [15] never,ending [15] dmm,ppe [15] halloween,night [15] night,写真集電子書籍 [14] employees,wear [7] struggle,employees Top Word Pairs in Tweet in G7:
[31] michelle,mone [25] billion,according [25] staggering,14 [25] rise,staggering [25] losses,rise [25] ppe,losses [25] dhsc's,annual [25] 14,billion [25] according,dhsc's [25] accounts,#ppescandal Top Word Pairs in Tweet in G8:
[37] face,piece [37] upgraded,face [37] hospital,cambridge [37] cambridge,upgraded [37] filtering,face [37] wards,filtering [37] working,covid [37] 19,wards [37] addenbrooke,hospital [37] covid,19 Top Word Pairs in Tweet in G9:
[19] nhs,poured [19] wrecked,economy [19] economy,delivered [19] victims,war [19] poured,sewage [19] ve,wrecked [19] rivers,squandered [19] deaths,trashed [19] sector,workers [19] workers,vulnerable Top Word Pairs in Tweet in G10:
[2] holdstk,bogcleaner1 [2] jimblindsone,martin020455 [2] dg_davies,sheehyjr [2] victor96478703,wobski421 [2] hwick_chris,andrewgarside3 [2] leftstance,tonytheram82 [2] viv_cooper,the_leaver [2] maggie29047241,victor96478703 [2] swen_2017,albaa_maha [2] theghos72578902,chrisev06631592 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 G5:
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: