The graph represents a network of 11,745 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, 19 January 2022 at 08:50 UTC.
The requested start date was Wednesday, 19 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, 1-minute period from Sunday, 16 January 2022 at 12:18 UTC to Tuesday, 18 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 : 11745
Unique Edges : 6846
Edges With Duplicates : 12095
Total Edges : 18941
Number of Edge Types : 5
Retweet : 5487
MentionsInRetweet : 6353
Tweet : 3395
Replies to : 992
Mentions : 2714
Self-Loops : 3437
Reciprocated Vertex Pair Ratio : 0.00303315552766447
Reciprocated Edge Ratio : 0.00604796663190824
Connected Components : 3588
Single-Vertex Connected Components : 941
Maximum Vertices in a Connected Component : 1446
Maximum Edges in a Connected Component : 3897
Maximum Geodesic Distance (Diameter) : 41
Average Geodesic Distance : 13.934241
Graph Density : 6.95263681107272E-05
Modularity : 0.577055
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,745 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, 19 January 2022 at 08:50 UTC.
The requested start date was Wednesday, 19 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, 1-minute period from Sunday, 16 January 2022 at 12:18 UTC to Tuesday, 18 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:
[1662] covid,19 [300] covid,cases [212] covid,positive [189] contra,covid [155] due,covid [122] rishi,sunak [111] online,exam [106] many,covid [102] sir,please [101] long,covid Top Word Pairs in Tweet in G1:
[239] covid,19 [26] contra,covid [18] teste,covid [13] covid,test [12] positivo,covid [8] 19,vaccine [8] covid,positive [8] due,covid [8] pra,covid [7] during,covid Top Word Pairs in Tweet in G2:
[197] covid,cases [131] covid,positive [101] online,exam [98] sir,please [92] many,covid [92] cases,coming [91] exams,online [90] positive,many [90] many,lost [90] lost,parents Top Word Pairs in Tweet in G3:
[95] rishi,sunak [89] written,billion [51] sunak,written [46] fraudulent,covid [45] billion,fraudulent [45] billion,pounds [44] sunak,tells [44] tells,written [44] pounds,fraudulently [44] fraudulently,claimed Top Word Pairs in Tweet in G4:
[25] going,try [23] try,slowly [23] slowly,wind [23] wind,down [23] down,covid [23] covid,measures [23] measures,act [23] act,none [23] none,happened [23] happened,before Top Word Pairs in Tweet in G5:
[27] covid,19 [20] 236,milliards [11] français,ont [10] rapport,oxfam [10] oxfam,milliardaires [10] milliardaires,français [10] ont,gagné [10] gagné,236 [10] milliards,depuis [10] depuis,crise Top Word Pairs in Tweet in G6:
[23] please,postpone [16] covid,positive [15] covid,19 [15] covid,cases [12] postpone,exam [12] पर,क [12] क,ष [10] #uptet,please [9] ख,य [8] mains,2021 Top Word Pairs in Tweet in G7:
[23] covid,19 [18] royaume,uni [12] apprendre,vivre [12] covid,comme [10] vaccination,protège [10] protège,contre [10] contre,#omicron [10] #omicron,cette [10] cette,maladie [10] maladie,donc Top Word Pairs in Tweet in G8:
[21] taux,létalité [21] létalité,covid [17] covid,france [17] france,désormais [17] désormais,c'est [17] c'est,exactement [17] exactement,même [17] même,taux [17] taux,grippe [17] grippe,saisonnière Top Word Pairs in Tweet in G9:
[6] covid,19 [2] florida,scientists [2] scientists,found [2] found,more [2] more,evidence [2] evidence,face [2] face,masks [2] masks,help [2] help,reduce [2] reduce,spread Top Word Pairs in Tweet in G10:
[14] long,covid [9] covid,cases [6] 14,kids [6] kids,covid [6] covid,one [6] one,class [6] class,kids' [6] kids',school [6] school,fourteen [6] fourteen,class Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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: