The graph represents a network of 11,497 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 02 April 2022 at 07:32 UTC.
The requested start date was Saturday, 02 April 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 2-minute period from Wednesday, 30 March 2022 at 12:17 UTC to Friday, 01 April 2022 at 12:19 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 : 11497
Unique Edges : 6674
Edges With Duplicates : 11365
Total Edges : 18039
Number of Edge Types : 5
Retweet : 5173
MentionsInRetweet : 6167
Replies to : 1216
Mentions : 2350
Tweet : 3133
Self-Loops : 3160
Reciprocated Vertex Pair Ratio : 0.00343458194697864
Reciprocated Edge Ratio : 0.00684565194138411
Connected Components : 3330
Single-Vertex Connected Components : 957
Maximum Vertices in a Connected Component : 1655
Maximum Edges in a Connected Component : 3541
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 11.485154
Graph Density : 7.0734921076201E-05
Modularity : 0.586933
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,497 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 02 April 2022 at 07:32 UTC.
The requested start date was Saturday, 02 April 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 2-minute period from Wednesday, 30 March 2022 at 12:17 UTC to Friday, 01 April 2022 at 12:19 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 : GraphServerTwitterSearch
Graph Term : 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:
[1707] covid,19 [165] long,covid [133] contra,covid [111] covid,restrictions [111] manuelrico,hoy [110] covid,testing [93] positive,covid [83] due,covid [82] usar,barbijo [81] 19,pandemic Top Word Pairs in Tweet in G1:
[270] covid,19 [17] contra,covid [15] 19,pandemic [13] long,covid [13] covid,cases [11] covid,vaccine [11] quarta,dose [11] during,covid [10] positive,covid [10] 19,vaccine Top Word Pairs in Tweet in G2:
[29] covid,19 [23] one,school [23] school,remained [23] remained,outbreak [23] outbreak,free [23] free,incredible [23] incredible,story [23] story,one [23] one,elementary [23] elementary,school Top Word Pairs in Tweet in G3:
[19] week,ending [17] need,usual [17] usual,april [17] april,fools [17] fools,jokes [17] jokes,today [17] today,re [17] re,running [17] running,country [17] country,bleak Top Word Pairs in Tweet in G4:
[26] covid,19 [12] two,years [12] public,health [11] reminder,fordnation [11] fordnation,care [11] care,covid [11] covid,vote [11] vote,gov [11] gov,care [10] quebec,already Top Word Pairs in Tweet in G5:
[46] comment,fait [46] fait,mckinsey [46] mckinsey,soit [46] soit,devenu [46] devenu,après [46] après,avoir [46] avoir,conseillé [46] conseillé,gratuitement [46] gratuitement,macron [46] macron,2016 Top Word Pairs in Tweet in G6:
[41] ivermectin,failed [41] failed,covid [41] covid,treatment [39] treatment,large [39] large,clinical [39] clinical,trial [39] trial,found [39] found,drug [39] drug,surged [39] surged,popularity Top Word Pairs in Tweet in G7:
[22] ons,data [13] latest,ons [13] data,show [13] show,covid [13] covid,more [13] more,widespread [13] widespread,scotland [13] scotland,12 [13] 12,infected [13] infected,england Top Word Pairs in Tweet in G8:
[30] stands,hunter [30] hunter,laptop [30] laptop,biden [30] biden,family [30] family,sells [30] sells,access [30] access,president [30] president,obama [30] obama,knew [30] knew,hillary Top Word Pairs in Tweet in G9:
[14] omicron,infektion [14] infektion,wahrscheinlich [14] wahrscheinlich,kaum [14] kaum,bleibende [14] bleibende,immunität [14] immunität,hinterlassen [14] hinterlassen,covid [14] covid,scheint [14] scheint,insgesamt [13] karl_lauterbach,omicron Top Word Pairs in Tweet in G10:
[15] whopper,mcdonald [15] mcdonald,dodged [15] dodged,tax [15] tax,claiming [15] claiming,872m [15] 872m,covid [15] covid,support [15] support,297m [15] 297m,furlough [15] furlough,payments Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G9:
Top Tweeters in G10: