The graph represents a network of 11,311 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 Wednesday, 23 March 2022 at 07:43 UTC.
The requested start date was Wednesday, 23 March 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, 3-minute period from Sunday, 20 March 2022 at 12:16 UTC to Tuesday, 22 March 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 : 11311
Unique Edges : 6362
Edges With Duplicates : 11425
Total Edges : 17787
Number of Edge Types : 5
Mentions : 2377
Retweet : 5156
MentionsInRetweet : 6015
Tweet : 2992
Replies to : 1247
Self-Loops : 3023
Reciprocated Vertex Pair Ratio : 0.00408298388876628
Reciprocated Edge Ratio : 0.00813276184196065
Connected Components : 3266
Single-Vertex Connected Components : 973
Maximum Vertices in a Connected Component : 1766
Maximum Edges in a Connected Component : 3879
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 10.179011
Graph Density : 7.11262738767243E-05
Modularity : 0.577967
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,311 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 Wednesday, 23 March 2022 at 07:43 UTC.
The requested start date was Wednesday, 23 March 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, 3-minute period from Sunday, 20 March 2022 at 12:16 UTC to Tuesday, 22 March 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:
[1737] covid,19 [210] long,covid [178] covid,deaths [135] manuelrico,hoy [133] covid,cases [119] días,gobierno [119] gobierno,ayuso [119] ayuso,aprobó [119] aprobó,protocolo [119] protocolo,impedía Top Word Pairs in Tweet in G1:
[287] covid,19 [27] contra,covid [15] 19,pandemic [14] positive,covid [13] 19,vaccine [13] long,covid [11] covid,test [9] covid,cases [8] casos,covid [8] during,covid Top Word Pairs in Tweet in G2:
[89] covid,19 [47] cost,living [37] covid,cases [34] rishi,sunak [34] hospitalisations,deaths [29] cases,hospitalisations [26] 19,cases [25] uk,government [25] sajid,javid [23] sunak,wrote Top Word Pairs in Tweet in G3:
[36] long,covid [23] covid,over [22] public,health [14] gaslit,friends [14] friends,family [14] family,covid [14] year,old [13] over,physician [13] physician,working [13] working,public Top Word Pairs in Tweet in G4:
[34] covid,19 [29] त,र [28] र,क [28] क,म [27] क,स [26] छ,त [25] क,छ [18] upsc,ssc [18] army,क [18] म,ग Top Word Pairs in Tweet in G5:
[135] manuelrico,hoy [119] días,gobierno [119] gobierno,ayuso [119] ayuso,aprobó [119] aprobó,protocolo [119] protocolo,impedía [119] impedía,trasladar [119] trasladar,hospital [119] hospital,residentes [114] residentes,vulnerab Top Word Pairs in Tweet in G6:
[67] mean,people [67] people,hit [67] hit,busses [67] busses,shouldn [67] shouldn,considered [67] considered,covid [67] covid,deaths [66] donaldjtrumpjr,mean [34] covid,19 [15] jen,psaki Top Word Pairs in Tweet in G7:
[37] twitter,banned [37] banned,nypost [37] nypost,story [37] story,covid [37] covid,right [37] right,keep [37] keep,watching [37] watching,ukraine [37] ukraine,york [37] york,times Top Word Pairs in Tweet in G8:
[34] people,really [34] really,need [34] need,stop [34] stop,calling [34] calling,others [34] others,anti [34] anti,vaxx [34] vaxx,vaccine [34] vaccine,skeptics [34] skeptics,data Top Word Pairs in Tweet in G9:
[31] f_philippot,ils [23] ils,mettent [23] mettent,place [23] place,obligation [23] obligation,vaccinale [23] vaccinale,covid [23] covid,comme [23] comme,allemagne [23] allemagne,veut [23] veut,faire Top Word Pairs in Tweet in G10:
[21] covid,19 [10] sars,cov [10] organ,impairment [10] american,lung [10] lung,association [10] association,states [10] states,data [10] data,supports [10] supports,mask [10] mask,wearing Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: