The graph represents a network of 11,945 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, 08 May 2021 at 09:59 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 : 11945
Unique Edges : 7449
Edges With Duplicates : 13004
Total Edges : 20453
Number of Edge Types : 5
Tweet : 3599
Retweet : 5759
MentionsInRetweet : 7037
Replies to : 777
Mentions : 3281
Self-Loops : 3638
Reciprocated Vertex Pair Ratio : 0.00543742110884552
Reciprocated Edge Ratio : 0.0108160309029454
Connected Components : 3506
Single-Vertex Connected Components : 932
Maximum Vertices in a Connected Component : 2517
Maximum Edges in a Connected Component : 6525
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 8.825517
Graph Density : 7.25795304836832E-05
Modularity : 0.567651
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 11,945 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, 08 May 2021 at 09:59 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:
[2906] covid,19 [641] î,î [414] covid,test [356] ãƒ,ム[345] test,ssr [336] ssr,body [269] ˆà,ˆà [252] ø,ø [239] contra,covid [221] µà,ˆà Top Word Pairs in Tweet in G1:
[307] covid,19 [232] î,î [54] ø,ø [39] ø,ù [32] ù,ø [32] àµ,ൠ[32] áž,áž [30] ù,ù [25] contra,covid [22] áž,áÿ Top Word Pairs in Tweet in G2:
[345] covid,test [319] test,ssr [312] ssr,body [99] covid,19 [31] ips_nupurprasad,covid [26] against,covid [26] àª,ઠ[24] fight,against [21] pmoindia,hmoindia [21] body,ips_nupurprasad Top Word Pairs in Tweet in G3:
[292] covid,19 [149] prevenciã,lograremos [149] lograremos,detener [148] detener,cadena [142] etiqueta,dã [142] #radicalescontralacovid,prevenciã [133] cadena,contagio [131] dã,#radicalescontralacovid [125] ªðÿ,etiqueta [123] #3may,ªðÿ Top Word Pairs in Tweet in G4:
[36] covid,war [35] war,room [34] 206,people [34] people,work [34] work,bengaluru's [34] bengaluru's,south [34] south,zone [34] zone,covid [34] room,17 [34] 17,muslims 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] patient,name [10] covid,19 [8] need,urgent [8] ÿà,ÿà [7] friend,ashish [7] ashish,ashish [7] ashish,medicos [7] medicos,sagarpur [7] sagarpur,janakpuri [7] janakpuri,try Top Word Pairs in Tweet in G7:
[23] covid,19 [13] oxygen,concentrator [9] india,turns [9] turns,down [9] down,proposal [9] proposal,send [9] send,covid [9] covid,strike [9] strike,team [9] team,never Top Word Pairs in Tweet in G8:
[17] 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 G9:
[44] self,employed [29] #breathingspace,self [29] employed,donâ [28] donâ,qualify [27] qualify,excluded [27] excluded,once [27] once,again [25] again,really [17] rishisunak,#breathingspace [17] really,gaslighting 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 G1:
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Top Replied-To in G3:
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Top Replied-To in G7:
Top Replied-To in G8:
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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 G7:
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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 G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: