The graph represents a network of 7,703 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, 10 January 2022 at 09:46 UTC.
The requested start date was Monday, 10 January 2022 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 2-day, 1-hour, 8-minute period from Friday, 07 January 2022 at 11:13 UTC to Sunday, 09 January 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 : 7703
Unique Edges : 3015
Edges With Duplicates : 13310
Total Edges : 16325
Number of Edge Types : 5
Retweet : 6353
MentionsInRetweet : 7064
Replies to : 775
Mentions : 1125
Tweet : 1008
Self-Loops : 1032
Reciprocated Vertex Pair Ratio : 0.00408639813193228
Reciprocated Edge Ratio : 0.00813953488372093
Connected Components : 788
Single-Vertex Connected Components : 247
Maximum Vertices in a Connected Component : 5176
Maximum Edges in a Connected Component : 12192
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.843329
Graph Density : 0.000144955613748305
Modularity : 0.49349
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,703 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, 10 January 2022 at 09:46 UTC.
The requested start date was Monday, 10 January 2022 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 2-day, 1-hour, 8-minute period from Friday, 07 January 2022 at 11:13 UTC to Sunday, 09 January 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:
[2356] michelle,mone [1530] peer,michelle [1271] five,days [1269] tory,peer [889] cabinet,office [749] days,before [679] vip,lane [661] 150,000 [655] ppe,medpro [633] covid,deaths Top Word Pairs in Tweet in G1:
[508] 150,000 [508] 000,covid [508] covid,deaths [508] deaths,delaying [508] delaying,lockdowns [508] lockdowns,missed [508] missed,cobra [508] cobra,meetings [508] meetings,care [508] care,homes Top Word Pairs in Tweet in G2:
[536] michelle,mone [483] five,days [441] ppe,medpro [436] cabinet,office [434] referred,ppe [433] plot,thickens [433] thickens,michelle [433] mone,story [433] story,turns [433] turns,referred Top Word Pairs in Tweet in G3:
[469] fast,tracked [469] vip,lane [467] bbclaurakt,breaking [462] michelle,mone [457] five,days [430] peer,michelle [428] tory,peer [427] days,before [424] breaking,tory [424] mone,ppe Top Word Pairs in Tweet in G4:
[312] funny,re [312] re,more [312] more,concerned [312] concerned,millions [312] millions,costs [312] costs,keep [312] keep,public [312] public,safe [312] safe,killer [312] killer,virus Top Word Pairs in Tweet in G5:
[290] michelle,mone [267] peer,michelle [260] cabinet,office [238] conservative,peer [237] mone,referred [237] referred,business [237] business,cabinet [237] office,potential [237] potential,multimillion [237] multimillion,pound Top Word Pairs in Tweet in G6:
[322] michelle,mone [304] peer,michelle [297] tory,peer [293] public,right [293] right,know [293] know,role [293] role,tory [293] mone,award [293] award,significant [293] significant,sums Top Word Pairs in Tweet in G7:
[302] pandemic,unvaccinated [302] unvaccinated,pandemic [302] pandemic,working [302] working,class [302] class,work [302] work,ppe [302] ppe,laid [301] ronruggiero105,pandemic [6] again,vaccines [6] vaccines,reduce Top Word Pairs in Tweet in G8:
[114] light,omicron [114] legal,team [114] team,drafted [114] drafted,proforma [114] proforma,letter [114] letter,healthcare [114] healthcare,workers [114] workers,send [109] michelle,mone [96] peer,michelle Top Word Pairs in Tweet in G9:
[32] michelle,mone [28] ppe,contracts [19] days,before [19] before,incorporated [18] referred,company [18] contracts,five [18] five,days [17] mone,referred [17] company,ppe [12] tory,peer Top Word Pairs in Tweet in G10:
[126] michelle,mone [69] ppe,contracts [60] five,days [58] mone,referred [57] peer,michelle [51] days,before [49] referred,company [49] company,ppe [49] tory,peer [47] before,incorporated 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 G6:
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: