The graph represents a network of 8,704 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 Thursday, 30 December 2021 at 11:01 UTC.
The requested start date was Thursday, 30 December 2021 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, 3-hour, 54-minute period from Monday, 27 December 2021 at 08:27 UTC to Wednesday, 29 December 2021 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 : 8704
Unique Edges : 4862
Edges With Duplicates : 11937
Total Edges : 16799
Number of Edge Types : 5
Retweet : 5421
MentionsInRetweet : 6619
Tweet : 1349
Replies to : 1443
Mentions : 1967
Self-Loops : 1391
Reciprocated Vertex Pair Ratio : 0.0122042607857831
Reciprocated Edge Ratio : 0.0241142252776309
Connected Components : 1173
Single-Vertex Connected Components : 343
Maximum Vertices in a Connected Component : 4793
Maximum Edges in a Connected Component : 10938
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.204849
Graph Density : 0.000124816979101189
Modularity : 0.560951
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,704 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 Thursday, 30 December 2021 at 11:01 UTC.
The requested start date was Thursday, 30 December 2021 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, 3-hour, 54-minute period from Monday, 27 December 2021 at 08:27 UTC to Wednesday, 29 December 2021 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:
[555] म,ग [452] ग,त [416] ve,told [412] shout,nurses [412] nurses,ve [412] told,drink [412] drink,water [412] water,nurses [412] nurses,station [412] station,wear Top Word Pairs in Tweet in G1:
[45] put,ppe [39] proper,ppe [38] ppe,before [34] during,pandemic [34] aha,guidelines [32] performing,cpr [32] cpr,during [32] pandemic,without [31] without,proper [30] re,same Top Word Pairs in Tweet in G2:
[377] shout,nurses [377] nurses,ve [377] ve,told [377] told,drink [377] drink,water [377] water,nurses [377] nurses,station [377] station,wear [377] wear,certain [377] certain,nails Top Word Pairs in Tweet in G3:
[198] healthcare,workers [172] nhs,staff [166] staff,absence [166] absence,due [166] due,omicron [166] omicron,significantly [166] significantly,affecting [166] affecting,patient [166] patient,services [166] services,beggars Top Word Pairs in Tweet in G4:
[16] without,ppe [15] proper,ppe [15] full,ppe [13] healthcare,workers [10] covid,patients [9] kronos,advanced [9] advanced,technologies [9] ppe,contracts [9] ppe,items [8] technologies,secures Top Word Pairs in Tweet in G5:
[155] 37,billion [154] person,uk [154] uk,flat [154] flat,refuse [154] refuse,pay [154] pay,37 [154] billion,lost [154] lost,rabbit [154] rabbit,hole [154] hole,track Top Word Pairs in Tweet in G6:
[55] track,trace [19] ppe,contracts [17] tory,donors [15] 37,billion [15] rot,runs [15] runs,deep [15] deep,nhs [15] nhs,worst [15] worst,affected [15] affected,priority Top Word Pairs in Tweet in G7:
[190] cpr,during [190] pandemic,without [189] hi,doc [189] doc,believe [189] believe,perform [189] perform,cpr [189] during,global [189] global,pandemic [189] without,protecting [188] em_resus,hi Top Word Pairs in Tweet in G8:
[158] policing,insulate [158] insulate,britain [158] britain,protests [156] see,grant [156] grant,shapps [156] shapps,appalled [156] appalled,4m [156] 4m,bill [156] bill,met [156] met,policing Top Word Pairs in Tweet in G9:
[74] sans,ppe [74] coffee,drinks [74] drinks,unit [73] coding,covid [73] covid,patient [73] patient,sans [73] ppe,ok [73] ok,coffee [73] unit,ok [73] ok,infection Top Word Pairs in Tweet in G10:
[144] nhs,staff [104] give,ffp3 [104] ffp3,masks [104] masks,nhs [104] staff,during [104] during,omicron [104] omicron,doctors [104] doctors,medical [104] medical,bodies [104] bodies,thin Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: