The graph represents a network of 11,800 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, 17 November 2021 at 08:48 UTC.
The requested start date was Wednesday, 17 November 2021 at 01:01 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 4-day, 0-hour, 2-minute period from Friday, 12 November 2021 at 12:17 UTC to Tuesday, 16 November 2021 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 : 11800
Unique Edges : 6809
Edges With Duplicates : 11570
Total Edges : 18379
Number of Edge Types : 5
Retweet : 5286
MentionsInRetweet : 6127
Mentions : 2539
Tweet : 3375
Replies to : 1052
Self-Loops : 3405
Reciprocated Vertex Pair Ratio : 0.00553839599531366
Reciprocated Edge Ratio : 0.0110157822264591
Connected Components : 3476
Single-Vertex Connected Components : 982
Maximum Vertices in a Connected Component : 1095
Maximum Edges in a Connected Component : 2350
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 9.986627
Graph Density : 6.78095385848557E-05
Modularity : 0.587313
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,800 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, 17 November 2021 at 08:48 UTC.
The requested start date was Wednesday, 17 November 2021 at 01:01 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 4-day, 0-hour, 2-minute period from Friday, 12 November 2021 at 12:17 UTC to Tuesday, 16 November 2021 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:
[2301] covid,19 [258] contra,covid [193] covid,vaccine [114] covid,cases [114] 19,vaccine [92] next,covid [90] 19,wave [88] rakyat,malaysia [88] malaysia,yang [88] yang,dikasihi Top Word Pairs in Tweet in G1:
[386] covid,19 [44] contra,covid [20] 19,pill [17] covid,vaccine [17] 19,vaccine [16] covid,test [16] #demokratpedulirakyat,pd [16] pd,bareng [16] bareng,ahy [14] 19,cases Top Word Pairs in Tweet in G2:
[18] tears,joy [14] never,disclose [14] disclose,status [14] status,discriminate [14] discriminate,against [14] against,prejudice [13] covid,vaccine [13] berniespofforth,never [10] covid,test [10] test,firm Top Word Pairs in Tweet in G3:
[14] non,vaccinés [14] contre,#covid [10] vrais,chiffres [10] par,jour [10] gibraltar,déclaré [10] déclaré,récemment [10] récemment,pays [10] pays,plus [10] plus,vacciné [10] vacciné,monde Top Word Pairs in Tweet in G4:
[17] non,vaccinés [13] orchestration,peur [13] peur,culpabilisation [13] culpabilisation,stigmatisation [13] stigmatisation,non [13] vaccinés,compris [13] compris,ceux [13] ceux,concernés [13] concernés,par [13] par,dose Top Word Pairs in Tweet in G5:
[23] covid,passports [22] covid,19 [17] covid,cases [14] vaxxed,places [14] places,earth [14] earth,vaxxed [14] vaxxed,states [14] states,america [14] america,covid [14] cases,rising Top Word Pairs in Tweet in G6:
[6] व,क [6] क,स [6] स,न [3] covid,19 [3] मह,र [3] र,ष [3] ष,ट [3] ट,र [3] र,म [3] म,75 Top Word Pairs in Tweet in G7:
[5] cardiologist,'won't [5] 'won't,cry [5] cry,funeral' [5] funeral',selfish [5] selfish,unvaccinated [5] unvaccinated,people [5] people,suddenly [4] suddenly,dies [4] dies,sleep [4] sleep,weeks Top Word Pairs in Tweet in G8:
[25] covid,izninde [19] covid,19 [16] grup,toplantımız [16] hiç,bir [13] covid,riski [13] izninde,olanlar [13] olanlar,inşallah [13] inşallah,dönmeyeceksiniz [13] dönmeyeceksiniz,kapalida [13] kapalida,kalanlar Top Word Pairs in Tweet in G9:
[46] candidato,senador [42] tuvo,suerte [41] ministro,salud [34] ex,ministro [32] salud,candidato [28] boric,tuvo [26] gabriel,boric [26] parece,mal [26] mal,extraña [26] extraña,médico Top Word Pairs in Tweet in G10:
[39] 000,hour [34] conservative,mp [34] mp,paid [34] paid,000 [34] hour,venture [34] venture,capital [34] capital,firm [34] firm,firm [34] firm,owns [34] owns,company 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:
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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: