The graph represents a network of 8,877 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 Sunday, 25 October 2020 at 07:51 UTC.
The requested start date was Sunday, 25 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, 2-hour, 12-minute period from Thursday, 22 October 2020 at 01:11 UTC to Saturday, 24 October 2020 at 03:23 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 : 8877
Unique Edges : 5913
Edges With Duplicates : 11534
Total Edges : 17447
Number of Edge Types : 5
Retweet : 5255
MentionsInRetweet : 7569
Mentions : 1946
Replies to : 1373
Tweet : 1304
Self-Loops : 1328
Reciprocated Vertex Pair Ratio : 0.00697172034564022
Reciprocated Edge Ratio : 0.013846903949293
Connected Components : 1473
Single-Vertex Connected Components : 592
Maximum Vertices in a Connected Component : 3709
Maximum Edges in a Connected Component : 9028
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.970623
Graph Density : 0.00013015239112597
Modularity : 0.588222
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,877 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 Sunday, 25 October 2020 at 07:51 UTC.
The requested start date was Sunday, 25 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, 2-hour, 12-minute period from Thursday, 22 October 2020 at 01:11 UTC to Saturday, 24 October 2020 at 03:23 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:
[568] people,going [567] going,suffer [356] enough,ppe [339] 000,set [333] peruncit,perkakas [333] perkakas,rumah [333] rumah,terbesar [333] terbesar,malaysia [333] malaysia,mr [333] mr,group Top Word Pairs in Tweet in G1:
[524] people,going [524] going,suffer [307] gov,andrew [242] pound,phones [242] phones,hard [242] hard,enough [229] enough,ppe [228] ppe,state [220] cuomo,pound [216] state,people Top Word Pairs in Tweet in G2:
[37] wear,masks [29] enough,ppe [18] fauci,wear [18] dr,fauci [17] covid,19 [16] testing,ppe [13] wear,mask [12] ppe,ventilators [12] learn,more [12] more,click Top Word Pairs in Tweet in G3:
[78] small,business [76] funding,pres [76] pres,trump's [76] trump's,cares [76] cares,act [76] act,17b [76] 17b,small [76] business,debt [76] debt,relief [76] relief,45b Top Word Pairs in Tweet in G4:
[330] peruncit,perkakas [330] perkakas,rumah [330] rumah,terbesar [330] terbesar,malaysia [330] malaysia,mr [330] mr,group [330] group,berhad [330] berhad,mr [330] mr,telah [330] telah,menghantar Top Word Pairs in Tweet in G5:
[25] still,national [23] covid,cases [23] cases,rise [23] rise,trump [23] trump,still [23] national,plan [23] plan,manage [23] manage,crisis [23] crisis,joebiden [23] joebiden,released Top Word Pairs in Tweet in G6:
[295] bayangkan,pakai [295] pakai,ppe [295] ppe,pun [295] pun,boleh [295] boleh,menari [295] menari,lagi [295] lagi,depan [295] depan,pesakit [295] pesakit,semata [295] semata,mata Top Word Pairs in Tweet in G7:
[216] ppe,kits [104] iamsrk,meerfoundation [97] frontline,warriors [92] kits,protect [88] protect,frontline [87] meerfoundation,providing [86] express,heartfelt [86] heartfelt,gratitude [86] gratitude,iamsrk [86] providing,ppe Top Word Pairs in Tweet in G8:
[87] healthcare,workers [81] n95,masks [77] horrible,nurses [77] nurses,reusing [77] reusing,uv [77] uv,decontaminated [77] decontaminated,n95 [77] masks,over [77] over,400 [77] 400,healthcare Top Word Pairs in Tweet in G9:
[103] make,sense [103] sense,plenty [103] plenty,time [103] time,audit [103] audit,hold [103] hold,officials [103] officials,accountable [103] accountable,later [103] later,doing [103] doing,right Top Word Pairs in Tweet in G10:
[20] joe,biden [10] donald,trump [10] marcusrashford,fareshareuk [9] krishgm,marcusrashford [7] ppe,contracts [7] hunter,biden [6] oil,industry [6] subsidised,tory [5] trust,manage [5] manage,vaccine Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: