The graph represents a network of 10,654 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, 23 December 2022 at 08:55 UTC.
The requested start date was Friday, 23 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, 4-minute period from Tuesday, 20 December 2022 at 12:15 UTC to Thursday, 22 December 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 : 10654
Unique Edges : 6225
Edges With Duplicates : 11608
Total Edges : 17833
Number of Edge Types : 5
Retweet : 5224
MentionsInRetweet : 6107
Mentions : 2223
Replies to : 1223
Tweet : 3056
Self-Loops : 3108
Reciprocated Vertex Pair Ratio : 0.00544807649544141
Reciprocated Edge Ratio : 0.0108371115780161
Connected Components : 2843
Single-Vertex Connected Components : 931
Maximum Vertices in a Connected Component : 3135
Maximum Edges in a Connected Component : 6767
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 10.573363
Graph Density : 7.96760712625319E-05
Modularity : 0.565052
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 10,654 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, 23 December 2022 at 08:55 UTC.
The requested start date was Friday, 23 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, 4-minute period from Tuesday, 20 December 2022 at 12:15 UTC to Thursday, 22 December 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:
[1437] covid,19 [220] covid,vaccine [204] contra,covid [159] covid,cases [152] त,र [133] long,covid [125] क,र [119] र,न [119] न,क [113] manuelrico,hoy Top Word Pairs in Tweet in G1:
[204] covid,19 [26] 19,cases [22] क,र [20] र,न [19] china,covid [19] cases,soar [18] china's,crematoriums [18] 'packed',covid [18] crematoriums,'packed' [18] न,क Top Word Pairs in Tweet in G2:
[28] क,स [26] र,म [25] covid,protocols [18] स,व [17] being,followed [17] protocols,being [16] ल,क [16] न,क [16] covid,19 [15] ர,ன Top Word Pairs in Tweet in G3:
[31] more,infected [30] 3x,more [30] 2x,3x [30] covid,here's [30] news,2x [30] vaccinated,covid [30] infected,covid [30] here's,news [29] bryandeanwright,vaccinated [22] covid,vaccine Top Word Pairs in Tweet in G4:
[22] eminent,doctors [22] externally,peer [22] commented,conclusions [22] conclusions,externally [22] number,eminent [22] internationally,commented [22] doctors,internationally [21] draseemmalhotra,number [21] peer,revi [17] covid,vaccines Top Word Pairs in Tweet in G5:
[19] public,health [19] covid,19 [18] cette,fin [18] pourquoi,ursula [18] question,laquelle [18] toujours,réponse [18] 2022,pourquoi [18] fin,2022 [18] ursula,leyen [18] laquelle,exigeons Top Word Pairs in Tweet in G6:
[42] र,ज [40] त,र [36] त,ह [33] र,क [33] ल,ग [33] ह,त [30] bharat,jodo [29] jodo,yatra [28] ल,ए [28] क,ल Top Word Pairs in Tweet in G7:
[18] covid,19 [14] nouvelle,bravo [14] belle,nouvelle [14] ces,juges [14] bravo,ces [13] silvano_trotta,belle [13] mes,amis [12] allemagne,données [12] par,pfizer [12] payée,par Top Word Pairs in Tweet in G8:
[19] covid,19 [8] zero,covid [7] peterhotez,bcm_tropmed [6] long,covid [6] covid,cases [6] north,korea [5] strain,driving [5] driving,china's [5] cases,omicron [5] covid,vaccine Top Word Pairs in Tweet in G9:
[23] covid,vaccine [20] covid,19 [17] pfizer,covid [15] covid,vaccines [15] robertkennedyjr,pfizer [14] fda,researchers [14] fda,fda [14] clotting,older [14] blood,clotting [14] vaccine,linked Top Word Pairs in Tweet in G10:
[14] whoever,needs [10] india,20 [10] covid,waves [10] multiple,covid [10] hk,22 [10] spread,seeing [10] early,20 [10] china,early [10] nothing,nothing [10] 22,nothing Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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:
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Top Mentioned in G6:
Top Mentioned in G7:
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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:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: