The graph represents a network of 3,712 Twitter users whose recent tweets contained "#covid19uk -#COVIDー19 -#Covid_19 -#COVID-19 -#COVID19 -#coronavirus -#coronacrisis -#coronavirusupdate -#coronavirusuk -#covid2019 -#coronaviruspandemic until:2020-03-22", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 29 March 2020 at 14:56 UTC.
The tweets in the network were tweeted over the 5-hour, 5-minute period from Saturday, 21 March 2020 at 18:53 UTC to Saturday, 21 March 2020 at 23:58 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 : 3712
Unique Edges : 4586
Edges With Duplicates : 325
Total Edges : 4911
Self-Loops : 894
Reciprocated Vertex Pair Ratio : 0.00229533282325937
Reciprocated Edge Ratio : 0.00458015267175573
Connected Components : 913
Single-Vertex Connected Components : 443
Maximum Vertices in a Connected Component : 1006
Maximum Edges in a Connected Component : 1697
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.095623
Graph Density : 0.000285294650572854
Modularity : 0.850931
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 3,712 Twitter users whose recent tweets contained "#covid19uk -#COVIDー19 -#Covid_19 -#COVID-19 -#COVID19 -#coronavirus -#coronacrisis -#coronavirusupdate -#coronavirusuk -#covid2019 -#coronaviruspandemic until:2020-03-22", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 29 March 2020 at 14:56 UTC.
The tweets in the network were tweeted over the 5-hour, 5-minute period from Saturday, 21 March 2020 at 18:53 UTC to Saturday, 21 March 2020 at 23:58 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 : TwitterSearch
Graph Term : #covid19uk -#COVIDー19 -#Covid_19 -#COVID-19 -#COVID19 -#coronavirus -#coronacrisis -#coronavirusupdate -#coronavirusuk -#covid2019 -#coronaviruspandemic until:2020-03-22
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:
[166] dad,s [166] s,army [166] feel,free [152] want,#covid19uk [151] anyone,want [151] #covid19uk,dad [151] army,graphics [151] graphics,share [151] share,first [151] first,three Top Word Pairs in Tweet in G1:
[20] stay,home [19] social,distancing [15] don,t [13] #covid19uk,#coronacrisisuk [11] #coronacrisisuk,#covid19uk [9] #stayhomesavelives,#covid19uk [8] #covid19uk,#stayathome [8] #stayathome,#covid19uk [7] go,out [7] self,isolation Top Word Pairs in Tweet in G2:
[34] social,care [34] care,staff [32] asda,morrisons [30] make,sure [30] morrisons,sainsburys [30] sainsburys,including [30] staff,special [30] special,opening [30] opening,hours [30] hours,means Top Word Pairs in Tweet in G3:
[151] anyone,want [151] want,#covid19uk [151] #covid19uk,dad [151] dad,s [151] s,army [151] army,graphics [151] graphics,share [151] share,first [151] first,three [151] three,here Top Word Pairs in Tweet in G4:
[27] #covid19uk,#coronacrisisuk [27] #marr,#ridge [17] stay,home [16] #coronacrisisuk,#marr [13] #ridge,#r4today [13] #r4today,#c4news [13] #c4news,lbc [11] extraordinary,thetimes [11] thetimes,brazenly [11] brazenly,publish Top Word Pairs in Tweet in G5:
[41] #covid19uk,#ventilators [41] #ventilators,extremely [41] extremely,concerned [41] concerned,slow [41] slow,action [41] action,inaction [41] inaction,following [41] following,letter [41] letter,sos [41] sos,health Top Word Pairs in Tweet in G6:
[47] message,sister [47] sister,back [47] back,12 [47] 12,hr [47] hr,shifts [47] shifts,recent [47] recent,retirement [47] retirement,seem [47] seem,one [47] one,around Top Word Pairs in Tweet in G7:
[62] making,difference [38] sky,sports [31] jeremycorbyn,patience [31] patience,anymore [31] anymore,bots [31] bots,trolls [31] trolls,nayslayers [31] nayslayers,read [31] read,letter [31] letter,read Top Word Pairs in Tweet in G8:
[41] here,s [41] s,stockpiling [41] stockpiling,selfish [41] selfish,dangerous [41] dangerous,#covid19uk [41] #covid19uk,#coronacrisisuk [41] #coronacrisisuk,#stockpilinguk [21] go,out [14] out,#covid19uk [13] stay,home Top Word Pairs in Tweet in G9:
[60] welshgasdoc,ikeauk [60] ikeauk,sharpie [60] sharpie,need [60] need,loads [60] loads,pens [60] pens,really [60] really,useful [60] useful,write [60] write,names [60] names,roles Top Word Pairs in Tweet in G10:
[22] #covid19uk,#covid19pharmacy [20] coronavirus,scam [20] scam,alert [20] alert,times [20] times,distress [20] distress,disruption [20] disruption,magnet [20] magnet,scammers [20] scammers,sadly [20] sadly,right Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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 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: