The graph represents a network of 6,636 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19UK - 6 April) of 7027 tweet IDs, or who were replied to or mentioned in those tweets. 6329 out of 7027 tweets were collected. The network was obtained from Twitter on Saturday, 10 October 2020 at 17:06 UTC.
The tweets in the network were tweeted over the 23-hour, 58-minute period from Monday, 06 April 2020 at 00:01 UTC to Monday, 06 April 2020 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 : 6636
Unique Edges : 9341
Edges With Duplicates : 1485
Total Edges : 10826
Self-Loops : 1735
Reciprocated Vertex Pair Ratio : 0.0105361741980801
Reciprocated Edge Ratio : 0.020852641334569
Connected Components : 1321
Single-Vertex Connected Components : 662
Maximum Vertices in a Connected Component : 3174
Maximum Edges in a Connected Component : 6218
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.74356
Graph Density : 0.000196048772355851
Modularity : 0.797992
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,636 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19UK - 6 April) of 7027 tweet IDs, or who were replied to or mentioned in those tweets. 6329 out of 7027 tweets were collected. The network was obtained from Twitter on Saturday, 10 October 2020 at 17:06 UTC.
The tweets in the network were tweeted over the 23-hour, 58-minute period from Monday, 06 April 2020 at 00:01 UTC to Monday, 06 April 2020 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 - covid19UK - 6 April
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:
[598] stay,home [581] #covid19uk,#stayhomesavelives [573] home,#covid19uk [546] please,please [544] re,sunbathing [544] sunbathing,today [544] today,please [544] please,m [544] m,begging [544] begging,stay Top Word Pairs in Tweet in G1:
[74] #covid19,#covid19uk [74] #coronavirus,#covid19uk [47] #changeyourworld,#covid_19 [45] #coronacrisisuk,#coronavirus [43] boris,johnson [38] intensive,care [32] #covid_19,#covid19uk [31] #covid19uk,#2metres [31] #2metres,#clapfornhs [26] #covid19uk,#covid19 Top Word Pairs in Tweet in G2:
[528] re,sunbathing [528] sunbathing,today [528] today,please [528] please,please [528] please,m [528] m,begging [528] begging,stay [528] stay,home [528] home,#covid19uk [528] #covid19uk,#stayhomesavelives Top Word Pairs in Tweet in G3:
[251] hope,public [251] public,made [251] made,scapegoats [251] scapegoats,huge [251] huge,govt [251] govt,failure [251] failure,#covid19uk [244] bbc,showing [244] showing,aerial [244] aerial,shots Top Word Pairs in Tweet in G4:
[60] please,retweet [59] #nhs,#nhscovidheroes [58] retweet,currently [58] currently,making [58] making,free [58] free,headbands [58] headbands,nurses [58] nurses,carers [58] carers,stop [58] stop,ears Top Word Pairs in Tweet in G5:
[202] wish,harm [136] answer,#covid19uk [135] think,anyone [135] anyone,wish [135] harm,death [135] death,another [135] another,forget [135] forget,exactly [135] exactly,boris [135] boris,johnson Top Word Pairs in Tweet in G6:
[109] #covid19uk,#covid19 [108] #coronavirususa,#coronavirusupdate [108] #coronavirustruth,#coronavirusuk [107] #flattenthecurve,#coronavirusoutbreak [107] #coronavirusoutbreak,#covid19uk [107] #coronaviruspandemic,#coronavirustruth [106] #covid19,#coronaviruspandemic [97] #coronavirusupdate,#coronacrisis [97] #coronacrisis,#flattenthecurve [34] thank,thank Top Word Pairs in Tweet in G7:
[99] disabled,people [89] interested,views [89] views,disabled [89] people,dns [89] dns,stories [89] stories,#covid19uk [89] #covid19uk,being [89] being,widely [89] widely,read [89] read,want Top Word Pairs in Tweet in G8:
[113] deacampaign,#savejulian [113] #savejulian,non [113] non,violent [113] violent,low [113] low,risk [113] risk,chronic [113] chronic,lung [113] lung,condition [113] condition,suffered [113] suffered,psychological Top Word Pairs in Tweet in G9:
[151] listen,live [129] live,juliahb1 [85] tells,julia [85] coronavirus,lockdown [78] ex,prof [78] prof,karol [78] karol,sikora [78] sikora,tells [78] julia,week [78] week,crucial Top Word Pairs in Tweet in G10:
[88] latest,public [88] public,health [88] health,advice [88] advice,#brexit [88] #brexit,catch [88] catch,bin [88] bin,kill [88] kill,#coronavirus [88] #coronavirus,#covid19uk [88] #covid19uk,time Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: