The graph represents a network of 10,882 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 Thursday, 01 December 2022 at 10:26 UTC.
The requested start date was Thursday, 01 December 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, 3-minute period from Monday, 28 November 2022 at 12:16 UTC to Wednesday, 30 November 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 : 10882
Unique Edges : 5963
Edges With Duplicates : 11904
Total Edges : 17867
Number of Edge Types : 5
Replies to : 1224
Retweet : 5396
MentionsInRetweet : 6213
Mentions : 2061
Tweet : 2973
Self-Loops : 3026
Reciprocated Vertex Pair Ratio : 0.00397044226315209
Reciprocated Edge Ratio : 0.00790948039107986
Connected Components : 2831
Single-Vertex Connected Components : 813
Maximum Vertices in a Connected Component : 2582
Maximum Edges in a Connected Component : 5501
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 11.590503
Graph Density : 7.68788734710559E-05
Modularity : 0.570569
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 10,882 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 Thursday, 01 December 2022 at 10:26 UTC.
The requested start date was Thursday, 01 December 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, 3-minute period from Monday, 28 November 2022 at 12:16 UTC to Wednesday, 30 November 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:
[1469] covid,19 [382] zero,covid [186] covid,policy [173] enforcing,covid [162] contra,covid [158] covid,lockdowns [156] covid,vaccine [143] misinformation,policy [140] twitter,longer [126] 19,misinformation Top Word Pairs in Tweet in G1:
[180] covid,19 [47] zero,covid [27] china,covid [27] covid,policy [18] covid,protests [11] covid,misinformation [11] contra,covid [11] 19,pandemic [11] china's,covid [10] against,covid Top Word Pairs in Tweet in G2:
[28] free,speech [25] lbrycom,elonmusk [24] elonmusk,free [24] covid,npis [24] critic,covid [24] asked,elonmusk [24] yesterday,asked [24] speech,advocate [24] npis,whether [24] advocate,critic Top Word Pairs in Tweet in G3:
[72] covid,lockdowns [70] oh,wait [66] fire,unarmed [66] protesting,harsh [66] harsh,covid [66] police,china [66] civilians,protesting [66] wait,melbourne [66] #breaking,police [66] lockdowns,oh Top Word Pairs in Tweet in G4:
[50] j'ai,interrogé [50] firme,américaine [50] ils,fait [50] qualifient,ils [50] commission,covid [50] fait,firme [50] covid,j'ai [50] américaine,mari [50] comment,qualifient [50] interrogé,experts Top Word Pairs in Tweet in G5:
[18] covid,19 [15] maybe,please [15] hell',covid [15] 'cold,hell' [15] genuinely,care [15] covid,maybe [15] give,people [15] please,give [15] care,'cold [14] 1goodtern,genuinely Top Word Pairs in Tweet in G6:
[71] teve,covid [71] diversas,vezes [71] relata,teve [71] agora,relata [71] tomou,várias [71] várias,doses [71] derrames,avcs [71] vezes,agora [71] joelma,tomou [71] doses,teve Top Word Pairs in Tweet in G7:
[23] nytimes,chinese [21] zero,covid [20] communist,party [16] covid,rules [15] city,relaxes [15] rules,several [15] guangzhou,city [15] china's,guangzhou [15] relaxes,covid [15] chinese,communist Top Word Pairs in Tweet in G8:
[62] covid,19 [57] policy,twitter [57] enforcing,covid [57] twitter,longer [57] 19,misinformation [57] misinformation,policy [57] longer,enforcing [57] reports,january [57] breaking,twitter [57] january,2020 Top Word Pairs in Tweet in G9:
[14] sante_gouv,frcsbraun [13] covid,19 [8] frcsbraun,apresj20 [8] emmanuelmacron,sante_gouv [7] pr,cyrille [7] contre,covid [7] apresj20,pfizer [7] cyrille,cohen [6] république,emmanuelmacron [6] peu,beaucoup Top Word Pairs in Tweet in G10:
[46] covid,19 [20] sangai,festival [20] years,covid [20] manipur,sangai [20] 19,pandemic [20] celebrating,manipur [15] pandemic,finally [15] two,years [15] finally,celebrating [15] happy,two Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G6:
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:
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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 G10: