The graph represents a network of 23,065 Twitter users whose recent tweets were included in a list (Tweet ID List - COVID19 week 15) of 30101 tweet IDs, or who were replied to or mentioned in those tweets. 29390 out of 30101 tweets were collected. The network was obtained from Twitter on Tuesday, 07 July 2020 at 06:59 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 54-minute period from Tuesday, 30 June 2020 at 00:04 UTC to Monday, 06 July 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 : 23065
Unique Edges : 36083
Edges With Duplicates : 9552
Total Edges : 45635
Self-Loops : 6030
Reciprocated Vertex Pair Ratio : 0.0119693766782837
Reciprocated Edge Ratio : 0.0236556104446013
Connected Components : 3187
Single-Vertex Connected Components : 2024
Maximum Vertices in a Connected Component : 16782
Maximum Edges in a Connected Component : 37226
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.754273
Graph Density : 6.65919558496367E-05
Modularity : 0.668997
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 23,065 Twitter users whose recent tweets were included in a list (Tweet ID List - COVID19 week 15) of 30101 tweet IDs, or who were replied to or mentioned in those tweets. 29390 out of 30101 tweets were collected. The network was obtained from Twitter on Tuesday, 07 July 2020 at 06:59 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 54-minute period from Tuesday, 30 June 2020 at 00:04 UTC to Monday, 06 July 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 : TwitterIDList
Graph Term : Tweet ID List - COVID19 week 15
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:
[3444] johnson,s [3368] british,people [3363] tonight,s [3361] #covid19uk,re [3360] s,clear [3356] s,deadline [3356] deadline,#brexit [3356] #brexit,transition [3356] transition,passing [3356] passing,s Top Word Pairs in Tweet in G1:
[2843] johnson,s [2796] tonight,s [2796] s,deadline [2796] deadline,#brexit [2796] #brexit,transition [2796] transition,passing [2796] passing,s [2796] s,clear [2796] clear,re [2796] re,heading Top Word Pairs in Tweet in G2:
[364] loved,ones [356] contact,no10 [317] no10,saying [317] saying,morning [284] next,few [247] arms,around [239] care,homes [236] worth,listen [235] morning,borisjohnson [235] borisjohnson,speech Top Word Pairs in Tweet in G3:
[125] #covid19,#covid19uk [86] covid,19 [84] #covid19uk,#covid19 [70] #covidー19,#covid19uk [62] #covid19uk,#coronavirus [61] #coronavirus,#covid19uk [54] #covidiots,#covid19uk [50] social,distancing [41] #covid19uk,#coronavirusuk [41] #covididiots,#covid19uk Top Word Pairs in Tweet in G4:
[174] #covid19,#covid19uk [148] care,homes [94] #covid19uk,#covidー19 [92] #covid19,deaths [91] deaths,#covid19uk [91] nhs,england [88] uk,gov [84] care,home [83] johnson,s [82] new,cases Top Word Pairs in Tweet in G5:
[540] died,covid [538] latest,nhs [538] nhs,figures [538] figures,#covid19uk [538] #covid19uk,very [538] very,revealing [538] revealing,now [538] now,countries [538] countries,seem [538] seem,finally Top Word Pairs in Tweet in G6:
[349] #nhs,staff [343] past,few [343] few,months [343] more,difficult [343] help,#nhs [343] staff,weekend [342] forget,pain [339] opening,pubs [314] ineptness,past [313] pain,caused Top Word Pairs in Tweet in G7:
[476] anthony,robinson [473] daddy,far [473] far,contract [473] contract,252 [473] 252,5m [473] 5m,again [473] again,placed [473] placed,company [473] company,apparent [473] apparent,history Top Word Pairs in Tweet in G8:
[932] covid,test [466] text,morning [466] morning,covid [466] test,negative [466] negative,never [466] never,covid [466] test,stated [466] stated,date [466] date,test [466] test,done Top Word Pairs in Tweet in G9:
[617] #covid19,#covid19uk [614] coronavirus,covid [614] covid,19 [614] #corona,#covid19 [450] united,kingdom [450] #coronavirus,#uk [450] #uk,#corona [339] trend,datasource [278] datasource,department [278] department,health Top Word Pairs in Tweet in G10:
[249] alors,les [249] les,pubs [249] pubs,et [249] et,les [249] les,restaurants [249] restaurants,viennent [249] viennent,tout [249] tout,juste [249] juste,rouvrir [249] rouvrir,angleterre Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G7:
Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: