The graph represents a network of 40,263 Twitter users whose recent tweets were included in a list (Tweet ID List July 2021 #covid19uk) of 67948 tweet IDs, or who were replied to or mentioned in those tweets. 64018 out of 67948 tweets were collected. The network was obtained from Twitter on Sunday, 08 August 2021 at 10:34 UTC.
The tweets in the network were tweeted over the 30-day, 23-hour, 55-minute period from Thursday, 01 July 2021 at 00:04 UTC to Saturday, 31 July 2021 at 23:59 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 : 40263
Unique Edges : 71096
Edges With Duplicates : 24182
Total Edges : 95278
Self-Loops : 16898
Reciprocated Vertex Pair Ratio : 0.00545662995051301
Reciprocated Edge Ratio : 0.0108540334569808
Connected Components : 6037
Single-Vertex Connected Components : 4746
Maximum Vertices in a Connected Component : 31304
Maximum Edges in a Connected Component : 83839
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.48815
Graph Density : 4.27390839115879E-05
Modularity : 0.553836
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 40,263 Twitter users whose recent tweets were included in a list (Tweet ID List July 2021 #covid19uk) of 67948 tweet IDs, or who were replied to or mentioned in those tweets. 64018 out of 67948 tweets were collected. The network was obtained from Twitter on Sunday, 08 August 2021 at 10:34 UTC.
The tweets in the network were tweeted over the 30-day, 23-hour, 55-minute period from Thursday, 01 July 2021 at 00:04 UTC to Saturday, 31 July 2021 at 23:59 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 : TwitterIDList
Graph Term : Tweet ID List July 2021 #covid19uk
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[4178] #covid19,#covid19uk [3730] over,80s [3728] dear,borisjohnson [3721] borisjohnson,note [3721] note,neighbour [3721] neighbour,left [3721] left,over [3721] 80s,keeping [3721] keeping,close [3721] close,eye Top Word Pairs in Tweet in G1:
[3082] over,80s [3081] dear,borisjohnson [3078] borisjohnson,note [3078] note,neighbour [3078] neighbour,left [3078] left,over [3078] 80s,keeping [3078] keeping,close [3078] close,eye [3078] eye,#covid19uk Top Word Pairs in Tweet in G2:
[1247] boris,johnson [871] over,#covid19uk [869] year,old [868] down,covid [868] t,attend [868] #covid19uk,#delta [866] lost,45 [866] 45,year [866] old,cousin [866] cousin,afternoon Top Word Pairs in Tweet in G3:
[491] #covid19,#covid19uk [278] #covid19uk,#covid19 [187] covid,19 [159] don,t [141] freedom,day [128] wear,mask [104] #covid19uk,#covid [99] boris,johnson [98] wearing,mask [87] 19th,july Top Word Pairs in Tweet in G4:
[762] hospitalisations,deaths [761] s,time [759] everyone,getting [758] see,everyone [758] getting,excited [758] excited,cases [758] cases,ll [758] ll,again [758] again,cases [758] cases,matter Top Word Pairs in Tweet in G5:
[1839] don,t [1800] health,secretary [1790] 19th,july [1773] #covid19uk,over [1773] cowering,covid [1772] #cower,dear [1772] dear,sajidjavid [1772] sajidjavid,date [1772] date,129 [1772] 129,158 Top Word Pairs in Tweet in G6:
[317] #covid19uk,#vaccinated [315] wtaf,news [315] news,takes [315] takes,dive [315] dive,propaganda [315] propaganda,wars [315] wars,#itv [315] #itv,ashamed [315] ashamed,#covid19uk [186] #covid19,#covid19uk Top Word Pairs in Tweet in G7:
[1202] #downingstreetbriefing,#covid19uk [933] mask,wearing [932] wearing,primarily [932] primarily,protect [932] protect,people [932] people,inherently [932] inherently,selfless [932] selfless,act [932] act,unfortunately [932] unfortunately,means Top Word Pairs in Tweet in G8:
[366] overwhelmed,covid [366] week,#covid19uk [365] leaked,email [365] email,sent [365] sent,morning [365] morning,doctors [365] doctors,leedshospitals [365] leedshospitals,e [365] e,overwhelmed [365] covid,wards Top Word Pairs in Tweet in G9:
[269] public,health [265] health,england [225] covid,19 [210] cases,uk [180] #covid19uk,#covid [175] #covid19,#covid19uk [164] coronavirus,covid [162] #coronavirus,#covid19 [160] #listentosurrahalrehman,#theultimateremedy [160] #theultimateremedy,#qalandar_baba_bukhari Top Word Pairs in Tweet in G10:
[283] enclosed,public [283] public,spaces [279] wear,masks [279] shops,cafes [276] removing,requirement [276] requirement,wear [276] masks,make [276] make,more [276] more,less [276] less,visit Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: