The graph represents a network of 10,448 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 28 September 2021 at 07:26 UTC.
The requested start date was Tuesday, 28 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 3-day, 0-hour, 5-minute period from Friday, 24 September 2021 at 12:12 UTC to Monday, 27 September 2021 at 12:17 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 : 10448
Unique Edges : 5532
Edges With Duplicates : 12291
Total Edges : 17823
Number of Edge Types : 5
Retweet : 5443
MentionsInRetweet : 6223
Tweet : 3446
Replies to : 460
Mentions : 2251
Self-Loops : 3488
Reciprocated Vertex Pair Ratio : 0.00595167241995001
Reciprocated Edge Ratio : 0.011832919181162
Connected Components : 3001
Single-Vertex Connected Components : 1038
Maximum Vertices in a Connected Component : 1802
Maximum Edges in a Connected Component : 4024
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 11.579031
Graph Density : 7.74253795611803E-05
Modularity : 0.545949
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,448 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 28 September 2021 at 07:26 UTC.
The requested start date was Tuesday, 28 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 3-day, 0-hour, 5-minute period from Friday, 24 September 2021 at 12:12 UTC to Monday, 27 September 2021 at 12:17 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-19
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:
[6539] covid,19 [460] contra,covid [386] 19,vaccine [209] 19,vaccines [166] 19,pandemic [138] levels,covid [138] people,carry [137] against,covid [136] double,jabbed [136] jabbed,people Top Word Pairs in Tweet in G1:
[985] covid,19 [86] jawa,timur [63] daerah,jawa [50] 19,vaccine [45] september,2021 [43] contra,covid [32] timur,level [26] 19,cases [25] 25,september [22] situasi,covid Top Word Pairs in Tweet in G2:
[135] double,jabbed [135] jabbed,people [135] people,carry [135] carry,same [135] same,levels [135] levels,covid [135] covid,unvaccinated [135] unvaccinated,delta [133] posting,emphasis [133] emphasis,published Top Word Pairs in Tweet in G3:
[230] covid,19 [111] contra,covid [83] nuevos,contagios [76] 19,venezuela [70] lucha,contra [46] 260,nuevos [43] 191,nuevos [39] día,559 [39] 559,lucha [37] #balancecovid19,día Top Word Pairs in Tweet in G4:
[96] covid,19 [39] vacuna,cubana [35] contra,covid [35] dosis,vacuna [26] anti,covid [25] cubana,#abdala [23] cuba,envía [21] primera,vacuna [21] #abdala,contra [20] 000,dosis Top Word Pairs in Tweet in G5:
[211] covid,19 [50] september,2021 [38] kes,covid [30] kes,harian [25] vaksin,covid [22] ini,adalah [21] pelitup,muka [19] mesej,ini [19] adalah,sahih [19] sahih,kkm Top Word Pairs in Tweet in G6:
[157] covid,19 [35] 19,vaccines [29] 19,vaccine [25] pfizer,begins [25] begins,study [25] study,oral [25] oral,drug [25] drug,prevention [25] prevention,covid [24] reuters,pfizer Top Word Pairs in Tweet in G7:
[118] covid,19 [70] 19,vaccine [64] receive,covid [64] vaccine,italy [64] italy,continue [64] continue,work [63] drdavidsamadi,receive [20] italian,government [20] government,saying [20] saying,garnish Top Word Pairs in Tweet in G8:
[67] covid,19 [18] पर,व [18] व,र [11] क,सह [11] सह,यत [11] जन,क [11] ल,ए [10] म,ख [10] ख,यम [10] यम,त Top Word Pairs in Tweet in G9:
[84] covid,19 [36] yvespdb,covid [34] 19,restrictions [34] restrictions,sanitaires [34] sanitaires,france [34] france,classée [34] classée,comme [34] comme,démocratie [34] démocratie,défaillante [34] défaillante,par Top Word Pairs in Tweet in G10:
[25] everyone,deserves [24] ve,shot [24] shot,fave [24] fave,believe [24] believe,everyone [24] deserves,equal [24] equal,access [24] access,vax [24] vax,world [24] world,leaders Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: