The graph represents a network of 51,624 Twitter users whose recent tweets were included in a list (100,000 tweets/retweets on COVID-19 in UK 20/12/20) of 59506 tweet IDs, or who were replied to or mentioned in those tweets. 59108 out of 59506 tweets were collected. The network was obtained from Twitter on Sunday, 20 December 2020 at 21:20 UTC.
The tweets in the network were tweeted over the 8-hour, 54-minute period from Sunday, 20 December 2020 at 09:47 UTC to Sunday, 20 December 2020 at 18:42 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.
Search term was "covid19 OR covid OR corona OR coronavirus OR coronavirusuk -covid19uk geocode:54.922332,-2.471436,800km". Tweets were downloaded using TAGS and then imported into NodeXL.
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 : 51624
Unique Edges : 70360
Edges With Duplicates : 13921
Total Edges : 84281
Self-Loops : 11004
Reciprocated Vertex Pair Ratio : 0.00601094530338826
Reciprocated Edge Ratio : 0.0119500594530321
Connected Components : 7914
Single-Vertex Connected Components : 4431
Maximum Vertices in a Connected Component : 36578
Maximum Edges in a Connected Component : 68682
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 5.301798
Graph Density : 2.52459135849069E-05
Modularity : 0.696194
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 51,624 Twitter users whose recent tweets were included in a list (100,000 tweets/retweets on COVID-19 in UK 20/12/20) of 59506 tweet IDs, or who were replied to or mentioned in those tweets. 59108 out of 59506 tweets were collected. The network was obtained from Twitter on Sunday, 20 December 2020 at 21:20 UTC.
The tweets in the network were tweeted over the 8-hour, 54-minute period from Sunday, 20 December 2020 at 09:47 UTC to Sunday, 20 December 2020 at 18:42 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 : 100,000 tweets/retweets on COVID-19 in UK 20/12/20
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:
[7690] covid,19 [3733] new,strain [3208] tier,4 [2581] new,covid [2558] covid,cases [2339] isn,t [2216] strain,covid [2209] handling,covid [2024] people,want [2003] want,believe Top Word Pairs in Tweet in G1:
[1411] new,strain [1370] covid,brexit [1297] strain,covid [1018] new,covid [896] knew,new [842] covid,19 [737] covid,strain [736] prime,minister [715] boris,johnson [674] extend,transition Top Word Pairs in Tweet in G2:
[1187] covid,19 [696] don,t [600] tier,4 [587] new,variant [491] covid,numbers [489] heart,attack [488] make,covid [486] daily,report [486] cancer,deaths [486] deaths,etc Top Word Pairs in Tweet in G3:
[724] covid,19 [202] tier,4 [162] new,covid [143] new,strain [101] don,t [95] flights,uk [82] strain,covid [72] covid,strain [70] new,variant [68] covid,vaccine Top Word Pairs in Tweet in G4:
[1142] covid,19 [924] new,strain [872] live,updates [833] follow,live [799] uk,due [779] over,new [762] travel,uk [590] strain,#coronavirus [539] new,covid [522] air,travel Top Word Pairs in Tweet in G5:
[1521] covid,cases [1519] londoners,arrested [1519] arrested,try [1519] try,leave [1519] leave,country [1519] country,5 [1519] 5,flights [1519] flights,brazil [1519] brazil,over [1519] over,7 Top Word Pairs in Tweet in G6:
[1529] handling,covid [1524] isn,t [1521] people,want [1521] want,believe [1521] covid,better [1521] better,uk [1520] myth,lots [1520] lots,people [1520] believe,nobody [1520] nobody,anywhere Top Word Pairs in Tweet in G7:
[172] covid,19 [162] coronavirus,restrictions [105] mask,wearing [102] distancing,mask [101] wearing,work [96] october,mandatory [96] restrictions,achieve [96] boris,johnson [94] strict,spain [84] outdoors,despite Top Word Pairs in Tweet in G8:
[594] flights,uk [587] uk,over [571] belgium,netherlands [406] variant,coronavirus [397] netherlands,suspending [397] suspending,flights [397] fast,spreading [394] italy,join [394] join,belgium [394] over,fast Top Word Pairs in Tweet in G9:
[322] covid,19 [256] new,strain [145] 48,hour [145] over,new [120] new,cases [113] 764,new [104] flights,ireland [104] strain,covid [94] strain,#covid19 [94] fears,over Top Word Pairs in Tweet in G10:
[133] covid,19 [79] human,rights [73] tier,4 [71] residents,staff [52] cases,per [52] per,100k [47] care,homes [47] glasgow,lanarkshire [45] right,eyemouth [45] eyemouth,rural Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: