The graph represents a network of 11,981 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 Monday, 10 January 2022 at 09:45 UTC.
The requested start date was Monday, 10 January 2022 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 2-day, 0-hour, 0-minute period from Friday, 07 January 2022 at 12:19 UTC to Sunday, 09 January 2022 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 : 11981
Unique Edges : 6457
Edges With Duplicates : 11983
Total Edges : 18440
Number of Edge Types : 5
Retweet : 5611
MentionsInRetweet : 6353
Tweet : 3567
Replies to : 1038
Mentions : 1871
Self-Loops : 3611
Reciprocated Vertex Pair Ratio : 0.00311076547050328
Reciprocated Edge Ratio : 0.00620223723557426
Connected Components : 3804
Single-Vertex Connected Components : 842
Maximum Vertices in a Connected Component : 390
Maximum Edges in a Connected Component : 824
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 5.867813
Graph Density : 6.29056663033108E-05
Modularity : 0.573504
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,981 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 Monday, 10 January 2022 at 09:45 UTC.
The requested start date was Monday, 10 January 2022 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 2-day, 0-hour, 0-minute period from Friday, 07 January 2022 at 12:19 UTC to Sunday, 09 January 2022 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:
[1653] covid,19 [201] positive,covid [176] tested,positive [132] ได,ร [130] contra,covid [124] covid,test [113] covid,cases [92] having,covid [91] pcr,test [91] due,covid Top Word Pairs in Tweet in G1:
[144] covid,19 [13] tested,positive [12] positive,covid [11] teste,covid [11] covid,cases [10] casos,covid [10] due,covid [9] during,covid [9] positivo,covid [8] covid,patients Top Word Pairs in Tweet in G2:
[22] health,secretary [20] covid,19 [19] 150,000 [14] nhs,staff [13] sajid,javid [12] 19,sajid [12] javid,directly [12] directly,challenged [12] challenged,mandatory [12] mandatory,coronavirus Top Word Pairs in Tweet in G3:
[38] covid,19 [26] open,book [19] students,demanding [19] demanding,open [18] please,play [18] play,student's [18] student's,life [17] book,exam [17] #ignou_students_want_openbookexam,please [17] life,covid Top Word Pairs in Tweet in G4:
[24] patients,critical [24] critical,care [23] live,covid [21] learning,live [20] numbers,patients [20] care,englands [20] englands,beds [20] beds,moment [20] moment,lower [20] lower,four Top Word Pairs in Tweet in G5:
[23] people,die [22] living,covid [16] live,covid [13] 150,000 [13] bbc,others [13] others,quoting [13] quoting,people [13] people,worse [13] worse,1200 [13] 1200,year Top Word Pairs in Tweet in G6:
[21] quel,profil [21] profil,hospitalisés [21] hospitalisés,covid [21] covid,vaccinés [20] journaliste,demande [20] demande,ce [20] ce,médecin [20] médecin,espagnol [20] espagnol,quel [20] vaccinés,répond Top Word Pairs in Tweet in G7:
[81] าใช,จ [81] จ,าย [80] มาตรวจหาเช,อ [80] อ,covid [80] covid,19 [80] 19,แบบ [80] แบบ,pcr [80] pcr,ท [80] ท,รพ [80] รพ,รามาฯ Top Word Pairs in Tweet in G8:
[64] shame,having [64] having,covid [33] highly,contagious [32] hey,shame [32] covid,highly [32] contagious,virus [32] virus,shame [32] covid,telling [31] tionnalashae,hey [31] telling,th Top Word Pairs in Tweet in G9:
[65] around,rs [64] price,covid [64] covid,19 [64] 19,pcr [64] pcr,test [64] test,uk [64] uk,travel [64] travel,india [64] india,130 [64] 130,pound Top Word Pairs in Tweet in G10:
[16] covid,19 [6] tested,positive [4] tributes,flowing [4] flowing,23 [4] 23,year [4] year,old [4] old,james [4] james,kondilios [4] kondilios,died [4] died,tested 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 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: