The graph represents a network of 11,952 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 Sunday, 02 May 2021 at 08:03 UTC.
The requested start date was Sunday, 02 May 2021 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, 0-minute period from Wednesday, 28 April 2021 at 13:30 UTC to Friday, 30 April 2021 at 13:30 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 : 11952
Unique Edges : 7199
Edges With Duplicates : 11528
Total Edges : 18727
Number of Edge Types : 5
MentionsInRetweet : 6253
Replies to : 664
Retweet : 5288
Mentions : 2685
Tweet : 3837
Self-Loops : 3861
Reciprocated Vertex Pair Ratio : 0.00634613316123481
Reciprocated Edge Ratio : 0.0126122274476272
Connected Components : 3839
Single-Vertex Connected Components : 1213
Maximum Vertices in a Connected Component : 1921
Maximum Edges in a Connected Component : 3976
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 8.194103
Graph Density : 6.55006156889853E-05
Modularity : 0.57631
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 11,952 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 Sunday, 02 May 2021 at 08:03 UTC.
The requested start date was Sunday, 02 May 2021 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, 0-minute period from Wednesday, 28 April 2021 at 13:30 UTC to Friday, 30 April 2021 at 13:30 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:
[2808] covid,19 [199] contra,covid [188] due,covid [171] covid,vaccine [145] 19,vaccine [129] covid,positive [115] against,covid [103] cpi,covid [99] covid,patients [95] blood,group Top Word Pairs in Tweet in G1:
[516] covid,19 [40] 19,vaccine [31] contra,covid [22] covid,vaccine [20] 19,pandemic [18] cpi,covid [14] during,covid [14] cases,covid [11] 19,cases [11] due,covid Top Word Pairs in Tweet in G2:
[116] covid,19 [43] 19,situation [30] president,putin [27] discussed,evolving [27] evolving,covid [26] excellent,conversation [26] conversation,friend [26] friend,president [26] putin,today [26] today,discussed Top Word Pairs in Tweet in G3:
[168] covid,19 [51] contra,covid [33] medidas,bioseguridad [23] nuevos,casos [21] venezuela,registra [19] casos,transmisión [19] transmisión,comunitaria [16] 19,venezuela [15] sabemos,cómo [15] cómo,hacerlo Top Word Pairs in Tweet in G4:
[29] due,covid [26] spread,fake [26] fake,news [25] mohalla,clinics [24] request,arvindkejriwal [24] arvindkejriwal,ji [24] ji,convert [24] convert,1000 [24] 1000,mohalla [24] clinics,covid Top Word Pairs in Tweet in G5:
[45] covid,19 [18] fight,covid [17] niagara,falls [17] falls,illuminated [17] illuminated,tricolour [17] tricolour,india's [17] india's,support [17] support,fight [16] meghupdates,niagara [11] cm,yogi Top Word Pairs in Tweet in G6:
[16] प,र [12] र,क [12] न,क [11] त,र [11] क,व [10] य,क [10] ह,न [9] क,ल [9] म,स [9] क,र Top Word Pairs in Tweet in G7:
[17] covid,19 [16] covid,positive [12] covid,cases [8] board,exams [6] need,#oxygenbeds [6] #oxygenbeds,friend's [6] friend's,relatives [6] relatives,wife [6] wife,husband [6] husband,edhariki Top Word Pairs in Tweet in G8:
[11] elderly,couple [11] couple,rohini [11] rohini,alone [11] alone,covid [11] covid,signs [11] signs,tried [11] tried,failed [11] failed,test [11] test,done [11] done,struggling Top Word Pairs in Tweet in G9:
[41] covid,19 [16] narendra,modi [15] 19,vaccine [12] bengal,govt [10] republic,#breaking [10] #breaking,first [10] first,batch [10] batch,russian [10] russian,covid [10] vaccine,sputnik Top Word Pairs in Tweet in G10:
[21] covid,situation [19] situation,india [19] india,really [19] really,bad [19] bad,government [19] government,doing [19] doing,shit [19] shit,over [19] over,350k [19] 350k,cases Top Replied-To in Entire Graph:
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Top Replied-To in G10:
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: