The graph represents a network of 12,068 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 Thursday, 06 May 2021 at 09:54 UTC.
The requested start date was Thursday, 06 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 Monday, 03 May 2021 at 12:21 UTC to Wednesday, 05 May 2021 at 12:22 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 : 12068
Unique Edges : 7644
Edges With Duplicates : 13028
Total Edges : 20672
Number of Edge Types : 5
Tweet : 3546
Retweet : 5759
MentionsInRetweet : 7181
Replies to : 825
Mentions : 3361
Self-Loops : 3585
Reciprocated Vertex Pair Ratio : 0.00540335576831927
Reciprocated Edge Ratio : 0.0107486328493306
Connected Components : 3455
Single-Vertex Connected Components : 867
Maximum Vertices in a Connected Component : 2589
Maximum Edges in a Connected Component : 6684
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 8.912752
Graph Density : 7.28311233443349E-05
Modularity : 0.57217
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 12,068 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 Thursday, 06 May 2021 at 09:54 UTC.
The requested start date was Thursday, 06 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 Monday, 03 May 2021 at 12:21 UTC to Wednesday, 05 May 2021 at 12:22 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:
[2955] covid,19 [415] covid,test [348] test,ssr [343] ssr,body [240] contra,covid [166] prevención,lograremos [166] lograremos,detener [166] detener,cadena [161] etiqueta,día [159] #radicalescontralacovid,prevención Top Word Pairs in Tweet in G1:
[307] covid,19 [26] contra,covid [20] 19,vaccine [14] covid,test [13] covid,vaccine [13] due,covid [11] र,न [10] covid,cases [10] herd,immunity [9] क,र Top Word Pairs in Tweet in G2:
[346] covid,test [322] test,ssr [316] ssr,body [99] covid,19 [31] ips_nupurprasad,covid [26] against,covid [24] fight,against [23] त,र [21] pmoindia,hmoindia [21] body,ips_nupurprasad Top Word Pairs in Tweet in G3:
[308] covid,19 [149] prevención,lograremos [149] lograremos,detener [149] detener,cadena [144] #radicalescontralacovid,prevención [142] etiqueta,día [133] cadena,contagio [131] día,#radicalescontralacovid [127] #3may,etiqueta [99] contra,covid Top Word Pairs in Tweet in G4:
[35] covid,19 [34] covid,war [33] war,room [32] 206,people [32] people,work [32] work,bengaluru's [32] bengaluru's,south [32] south,zone [32] zone,covid [32] room,17 Top Word Pairs in Tweet in G5:
[54] covid,19 [22] covid,wave [15] third,covid [15] wave,inevitable [15] inevitable,clear [15] clear,time [15] time,scale [15] scale,occur [15] occur,prepared [15] prepared,govt Top Word Pairs in Tweet in G6:
[10] covid,19 [7] friend,ashish [7] ashish,ashish [7] ashish,medicos [7] medicos,sagarpur [7] sagarpur,janakpuri [7] janakpuri,try [7] try,sell [7] sell,covid [7] covid,related Top Word Pairs in Tweet in G7:
[19] covid,19 [7] 3rd,wave [6] prepare,3rd [6] wave,capacity [6] capacity,building [6] building,maharashtra [6] maharashtra,met [6] met,amc [6] amc,sjaiswal_ias [6] sjaiswal_ias,ji Top Word Pairs in Tweet in G8:
[17] र,न [15] रह,ह [13] covid,19 [13] न,क [13] क,र [10] wave,inevitable [9] timesofindia,covid [9] covid,forecasters [9] forecasters,warn [9] warn,india Top Word Pairs in Tweet in G9:
[44] self,employed [29] #breathingspace,self [29] employed,don [28] don,qualify [27] qualify,excluded [27] excluded,once [27] once,again [26] again,really [19] really,gaslighting [17] rishisunak,#breathingspace Top Word Pairs in Tweet in G10:
[21] link,interview [21] interview,camanpour [21] camanpour,tell [21] tell,more [21] more,50 [21] 50,journalists [21] journalists,died [21] died,india [21] india,last [20] ranaayyub,link Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: