The graph represents a network of 21,560 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 31) of 27226 tweet IDs, or who were replied to or mentioned in those tweets. 26106 out of 27226 tweets were collected. The network was obtained from Twitter on Thursday, 29 October 2020 at 19:17 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 22-minute period from Tuesday, 20 October 2020 at 00:06 UTC to Monday, 26 October 2020 at 23:29 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 : 21560
Unique Edges : 31945
Edges With Duplicates : 10025
Total Edges : 41970
Self-Loops : 8451
Reciprocated Vertex Pair Ratio : 0.013527397260274
Reciprocated Edge Ratio : 0.0266936982598412
Connected Components : 4843
Single-Vertex Connected Components : 3419
Maximum Vertices in a Connected Component : 13020
Maximum Edges in a Connected Component : 30835
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.298745
Graph Density : 6.36708980257912E-05
Modularity : 0.644854
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 21,560 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 31) of 27226 tweet IDs, or who were replied to or mentioned in those tweets. 26106 out of 27226 tweets were collected. The network was obtained from Twitter on Thursday, 29 October 2020 at 19:17 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 22-minute period from Tuesday, 20 October 2020 at 00:06 UTC to Monday, 26 October 2020 at 23:29 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 - covid19uk - week 31
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:
[1412] #covid19,#covid19uk [1088] #covid19uk,#covid19 [765] covid,19 [736] per,km [617] during,time [611] staff,during [610] nhs,beds [610] many,staff [610] trained,manage [609] matthancock,june Top Word Pairs in Tweet in G1:
[540] matthancock,june [540] june,40 [540] 40,nhs [540] nhs,beds [540] beds,stood [540] stood,empty [540] empty,many [540] many,staff [540] staff,during [540] during,time Top Word Pairs in Tweet in G2:
[304] #covid19,#covid19uk [247] #covid19uk,#covid19 [125] covid,19 [115] tier,3 [97] #coviduk,#covid19uk [95] #covid19uk,#lockdownuk [83] #coronavirusuk,#lockdown [83] #wearamask,#staysafe [82] #lockdownuk,#coronavirusuk [80] discounts,designer Top Word Pairs in Tweet in G3:
[620] per,km [385] #lockdown,#covid19uk [379] regulations,pose [379] pose,threat [379] threat,livelihoods [379] livelihoods,social [379] social,bonds [379] bonds,public [379] public,life [379] life,fellow Top Word Pairs in Tweet in G4:
[280] prime,minister [252] times,wish [252] wish,jeremy [252] jeremy,corbyn [252] corbyn,prime [252] minister,retweet [252] retweet,agree [252] agree,#covid19uk [88] government,create [88] create,much Top Word Pairs in Tweet in G5:
[254] link,image [254] image,page [254] page,39 [254] 39,#covid19 [254] #covid19,#cdc [254] #cdc,#wakeup [254] #wakeup,#covidbriefing [254] #covidbriefing,#covid19uk [254] #covid19uk,#covid19ireland [138] #covid19uk,#lockdown Top Word Pairs in Tweet in G6:
[122] mean,cancelled [122] cancelled,ops [104] being,asked [96] icu,doctor [94] one,icu [94] doctor,ve [94] ve,fought [94] fought,battle [94] battle,britain [94] britain,barely Top Word Pairs in Tweet in G7:
[193] #toriesout,#covid19uk [192] 12,billion [191] johnson,labour [191] labour,see [191] see,virus [191] virus,opportunity [191] opportunity,exploit [191] exploit,actually [191] actually,straight [191] straight,face Top Word Pairs in Tweet in G8:
[74] government,contracts [72] more,1billion [72] 1billion,outsourced [72] outsourced,government [72] contracts,rewarded [72] rewarded,firms [72] firms,run [72] run,tory [72] tory,friends [72] friends,donors Top Word Pairs in Tweet in G9:
[84] #manchesterlockdown,#covid19uk [82] cartoon,wednesday [82] wednesday,thetimes [82] thetimes,north [82] north,v [82] v,south [82] south,region [82] region,v [82] v,region [82] region,country Top Word Pairs in Tweet in G10:
[157] 7,days [130] coronavirus,covid [130] covid,19 [127] specimen,date [100] nations,england [99] #covid19,#covid19uk [95] #covid19uk,#coronavirusuk [93] #coronavirusuk,#dailycovidupdate [92] 19,weekly [92] weekly,overview Top Replied-To in Entire Graph:
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Top Replied-To in G10:
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: