The graph represents a network of 35,498 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk week 25) of 49468 tweet IDs, or who were replied to or mentioned in those tweets. 47516 out of 49468 tweets were collected. The network was obtained from Twitter on Thursday, 17 September 2020 at 19:29 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 49-minute period from Tuesday, 08 September 2020 at 00:07 UTC to Monday, 14 September 2020 at 23:56 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 : 35498
Unique Edges : 57136
Edges With Duplicates : 17144
Total Edges : 74280
Self-Loops : 11268
Reciprocated Vertex Pair Ratio : 0.00698501631065814
Reciprocated Edge Ratio : 0.0138731285918225
Connected Components : 6582
Single-Vertex Connected Components : 4971
Maximum Vertices in a Connected Component : 25152
Maximum Edges in a Connected Component : 61367
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.777871
Graph Density : 4.33609968790161E-05
Modularity : 0.615774
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 35,498 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk week 25) of 49468 tweet IDs, or who were replied to or mentioned in those tweets. 47516 out of 49468 tweets were collected. The network was obtained from Twitter on Thursday, 17 September 2020 at 19:29 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 49-minute period from Tuesday, 08 September 2020 at 00:07 UTC to Monday, 14 September 2020 at 23:56 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 25
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:
[3103] isn,t [2973] meet,groups [2927] groups,six [2917] six,one [2913] seven,dwarfs [2908] news,seven [2890] happy,#covid19uk [2887] t,happy [2885] one,isn [2883] dwarfs,told Top Word Pairs in Tweet in G1:
[566] young,people [485] leave,nhs [472] need,daily [472] daily,briefings [471] #pressconference,#covid19uk [471] incoherent,contradictory [470] #covid19uk,another [470] another,incoherent [470] contradictory,confused [470] confused,performance Top Word Pairs in Tweet in G2:
[324] #covid19,#covid19uk [263] #covid19uk,#covid19 [206] covid,19 [193] don,t [185] #covid19uk,#coronavirusuk [174] 6,people [166] more,6 [159] #coronavirusuk,#covid19uk [137] #covid19uk,#coronavirus [116] young,people Top Word Pairs in Tweet in G3:
[1612] sweden,sweden [1126] infection,rate [620] wrong,#covid19uk [574] nothing,#covid19uk [562] announced,mask [562] mask,lockdown [562] lockdown,sweden [562] sweden,given [562] given,travel [562] travel,corridor Top Word Pairs in Tweet in G4:
[2403] isn,t [2401] meet,groups [2400] funniest,joke [2400] joke,heard [2400] heard,today [2400] today,news [2400] news,seven [2400] seven,dwarfs [2400] dwarfs,told [2400] told,meet Top Word Pairs in Tweet in G5:
[958] back,school [957] sent,children [957] children,back [957] school,want [957] want,felt [957] felt,youngest [957] youngest,evie [957] evie,now [957] now,covid [957] covid,symptoms Top Word Pairs in Tweet in G6:
[467] #maternitypetition,#excludeduk [310] #excludeduk,#wearenotgoingaway [245] #covid19uk,#lockdown2 [228] #wearenotgoingaway,#covid19uk [228] #babiesinlockdown,#butnotmaternity [228] #butnotmaternity,#notevendental [224] #covid19uk,#coronavirusuk [219] bbcnews,skynews [214] #lockdown2,#babiesinlockdown [214] #notevendental,borisjohnson Top Word Pairs in Tweet in G7:
[614] #covid19uk,tests [605] tests,available [599] welshgovernment,told [599] told,10downingstreet [599] 10downingstreet,cutting [599] cutting,#covid19uk [599] available,wales [599] wales,without [599] without,notice [599] notice,breakup Top Word Pairs in Tweet in G8:
[855] public,information [855] information,reminder [855] reminder,soon [855] soon,illegal [855] illegal,gather [855] gather,groups [855] groups,one [855] one,more [855] more,maintain [855] maintain,distance Top Word Pairs in Tweet in G9:
[519] covid,19 [502] #covid19,#covid19uk [488] coronavirus,covid [488] #corona,#covid19 [455] trend,datasource [279] 19,death [279] death,trend [268] datasource,department [268] department,health [248] england,coronavirus Top Word Pairs in Tweet in G10:
[258] cases,young [208] #covid19uk,cases [189] 14,day [131] young,people [130] people,now [129] one,reasons [129] reasons,virologists [129] virologists,epidemiologists [129] epidemiologists,worried [129] worried,#covid19uk 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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: