The graph represents a network of 18,224 Twitter users whose recent tweets contained "Roll Covid", 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 Tuesday, 12 January 2021 at 21:53 UTC.
The tweets in the network were tweeted over the 5-day, 17-hour, 30-minute period from Thursday, 07 January 2021 at 03:11 UTC to Tuesday, 12 January 2021 at 20:42 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".
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 : 18224
Unique Edges : 23296
Edges With Duplicates : 1349
Total Edges : 24645
Number of Edge Types : 5
Retweet : 13108
Tweet : 2916
Mentions : 2371
Replies to : 1809
MentionsInRetweet : 4441
Self-Loops : 2967
Reciprocated Vertex Pair Ratio : 0.0090532234240244
Reciprocated Edge Ratio : 0.0179439958445483
Connected Components : 3264
Single-Vertex Connected Components : 1618
Maximum Vertices in a Connected Component : 9922
Maximum Edges in a Connected Component : 14916
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 8.229622
Graph Density : 6.37677149404098E-05
Modularity : 0.870181
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 18,224 Twitter users whose recent tweets contained "Roll Covid", 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 Tuesday, 12 January 2021 at 21:53 UTC.
The tweets in the network were tweeted over the 5-day, 17-hour, 30-minute period from Thursday, 07 January 2021 at 03:11 UTC to Tuesday, 12 January 2021 at 20:42 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 : TwitterSearch
Graph Term : Roll Covid
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[5541] roll,covid [4984] covid,19 [2470] vaccine,roll [1742] covid,vaccine [1409] 19,vaccine [1133] 19,vaccination [948] roll,vaccine [921] namo,app [786] vaccination,roll [765] cms,covid Top Word Pairs in Tweet in G1:
[516] covid,19 [469] roll,covid [281] vaccine,roll [196] 19,vaccine [172] covid,vaccine [77] 19,vaccines [77] roll,tide [65] 19,vaccination [62] covid,roll [43] roll,vaccine Top Word Pairs in Tweet in G2:
[1953] roll,covid [473] stupid,ignorant [473] ignorant,selfish [473] selfish,motherfuckers [473] motherfuckers,single [473] single,one [473] one,roughly [473] roughly,same [473] same,number [473] number,people Top Word Pairs in Tweet in G3:
[327] covid,19 [246] govt,confirms [246] confirms,88 [246] 88,covid [246] 19,fatalities [246] fatalities,accounted [246] accounted,once [246] once,top [246] top,jcvi [246] jcvi,groups Top Word Pairs in Tweet in G4:
[770] covid,19 [504] 19,vaccination [478] cms,covid [430] namo,app [424] meeting,cms [420] chairs,meeting [419] pm,chairs [412] vaccination,namo [254] 19,vaccine [213] vaccine,roll Top Word Pairs in Tweet in G5:
[633] roll,covid [590] alabama,crimson [590] crimson,tide [590] tide,won [590] won,18th [590] 18th,national [590] national,title [590] title,monday [590] monday,night [590] night,course Top Word Pairs in Tweet in G6:
[421] vaccination,roll [416] unionists,attacking [416] attacking,nicola [416] nicola,sturgeon [416] sturgeon,jeanne [416] jeanne,freeman [416] freeman,over [416] over,vaccination [416] roll,scotland [416] scotland,boris Top Word Pairs in Tweet in G7:
[268] roll,covid [265] covid,vaccine [246] federal,government [244] unlike,world [244] world,time [244] time,roll [244] vaccine,right [244] right,federal [244] government,involve [244] involve,parts Top Word Pairs in Tweet in G8:
[323] roll,vaccine [316] last,week [316] week,average [316] average,someone [316] someone,died [316] died,covid [316] covid,90 [316] 90,seconds [316] seconds,afford [316] afford,delay Top Word Pairs in Tweet in G9:
[181] mathematical,evidence [181] evidence,emerged [181] emerged,criminal [181] criminal,correlation [181] correlation,between [181] between,vaxx [181] vaxx,roll [181] roll,'covid [181] 'covid,deaths' [181] deaths',#vaxxtermination Top Word Pairs in Tweet in G10:
[454] covid,19 [139] 19,vaccines [131] roll,covid [110] countries,roll [109] babbage,fast [109] fast,countries [109] vaccines,drnicolabrink [109] drnicolabrink,avoiding [109] avoiding,covid [109] 19,crisis Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: