The graph represents a network of 12,167 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 Friday, 17 September 2021 at 07:58 UTC.
The requested start date was Friday, 17 September 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, 1-minute period from Tuesday, 14 September 2021 at 12:18 UTC to Thursday, 16 September 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 : 12167
Unique Edges : 6809
Edges With Duplicates : 11815
Total Edges : 18624
Number of Edge Types : 5
Retweet : 5392
MentionsInRetweet : 6232
Tweet : 3531
Replies to : 1073
Mentions : 2396
Self-Loops : 3567
Reciprocated Vertex Pair Ratio : 0.00392364793213149
Reciprocated Edge Ratio : 0.00781662617513468
Connected Components : 3673
Single-Vertex Connected Components : 945
Maximum Vertices in a Connected Component : 1413
Maximum Edges in a Connected Component : 2868
Maximum Geodesic Distance (Diameter) : 41
Average Geodesic Distance : 13.988049
Graph Density : 6.39559651121325E-05
Modularity : 0.584835
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 12,167 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 Friday, 17 September 2021 at 07:58 UTC.
The requested start date was Friday, 17 September 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, 1-minute period from Tuesday, 14 September 2021 at 12:18 UTC to Thursday, 16 September 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:
[2681] covid,19 [355] died,covid [211] contra,covid [182] covid,vaccine [178] 19,vaccine [129] covid,cases [116] covid,deaths [108] against,covid [103] fully,vaccinated [91] vaccinated,against Top Word Pairs in Tweet in G1:
[323] covid,19 [28] covid,vaccine [21] contra,covid [20] 19,vaccine [17] died,covid [16] covid,test [15] covid,cases [11] 19,cases [11] anti,covid [9] last,year Top Word Pairs in Tweet in G2:
[20] died,covid [19] tucker,carlson [18] covid,19 [12] covid,vaccine [12] veronica,wolski [12] wolski,woman [12] woman,became [12] became,well [12] well,known [12] known,online Top Word Pairs in Tweet in G3:
[14] covid,19 [9] health,secretary [9] winter,covid [9] covid,plan [7] covid,pass [6] vaccination,healthy [6] catch,covid [6] sajid,javid [6] nhs,app [5] covid,vaccine Top Word Pairs in Tweet in G4:
[37] california,recall [37] recall,largely [37] largely,referendum [37] referendum,gavin [37] gavin,newsom [37] newsom,president [37] president,biden [37] biden,aggressive [37] aggressive,actions [36] joncoopertweets,california Top Word Pairs in Tweet in G5:
[100] covid,19 [51] september,2021 [37] 16,september [32] setiap,pelancong [32] pelancong,yang [29] ke,langkawi [25] yang,akan [20] bermula,16 [19] akan,bercuti [19] bercuti,ke Top Word Pairs in Tweet in G6:
[50] covid,19 [45] ke,langkawi [44] positif,covid [41] wajib,test [40] ada,baca [40] baca,orang [40] orang,complain [40] complain,sbb [40] sbb,wajib [40] test,covid Top Word Pairs in Tweet in G7:
[42] covid,19 [18] nicki,minaj [7] white,house [7] vladimir,putin [6] well,well [6] top,science [6] science,agency [6] agency,tailored [6] findings,fit [5] against,covid Top Word Pairs in Tweet in G8:
[27] six,months [27] months,hospital [27] hospital,including [27] including,six [27] six,weeks [27] weeks,ventilator [27] ventilator,huge [27] huge,amount [27] amount,hard [27] hard,work Top Word Pairs in Tweet in G10:
[11] health,secretary [9] tory,backbenches [9] backbenches,#pmqs [9] #pmqs,mask [9] mask,sight [9] sight,ok [9] ok,health [9] secretary,catch [8] government,plan [8] plan,unsustainable Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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