The graph represents a network of 7,963 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 Wednesday, 01 July 2020 at 07:02 UTC.
The requested start date was Wednesday, 01 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 0-hour, 1-minute period from Monday, 29 June 2020 at 12:15 UTC to Tuesday, 30 June 2020 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 : 7963
Unique Edges : 4427
Edges With Duplicates : 8104
Total Edges : 12531
Number of Edge Types : 5
Retweet : 3765
MentionsInRetweet : 4473
Mentions : 1681
Tweet : 2321
Replies to : 291
Self-Loops : 2364
Reciprocated Vertex Pair Ratio : 0.00760887162052776
Reciprocated Edge Ratio : 0.0151028277634961
Connected Components : 2534
Single-Vertex Connected Components : 707
Maximum Vertices in a Connected Component : 473
Maximum Edges in a Connected Component : 942
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.428771
Graph Density : 9.81681699614043E-05
Modularity : 0.57357
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 7,963 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 Wednesday, 01 July 2020 at 07:02 UTC.
The requested start date was Wednesday, 01 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 0-hour, 1-minute period from Monday, 29 June 2020 at 12:15 UTC to Tuesday, 30 June 2020 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:
[4877] covid,19 [351] enemy,covid [209] 19,cases [118] abs,cbn [117] 19,enemy [116] 19,abs [116] cbn,enemy [116] 19,jeepney [116] jeepney,drivers [116] drivers,enemy Top Word Pairs in Tweet in G1:
[600] covid,19 [20] 19,pandemic [20] 19,cases [18] during,covid [12] 19,vaccine [12] #covid,19 [10] contra,covid [10] pandemia,covid [9] casos,covid [9] 19,crisis Top Word Pairs in Tweet in G2:
[51] covid,19 [12] way,home [12] home,finally [12] finally,nurse [12] nurse,more [12] more,25 [12] 25,years [12] years,telling [12] telling,never [12] never,life Top Word Pairs in Tweet in G3:
[384] covid,19 [351] enemy,covid [116] 19,enemy [116] 19,abs [116] abs,cbn [116] cbn,enemy [116] 19,jeepney [116] jeepney,drivers [116] drivers,enemy [115] fthilbay,enemy Top Word Pairs in Tweet in G4:
[58] covid,19 [12] 19,vaccine [11] wsj,fda [11] fda,plans [11] plans,require [11] require,covid [11] vaccine,50 [11] 50,more [11] more,effective [11] effective,placebo Top Word Pairs in Tweet in G5:
[50] covid,19 [11] jee,neet [8] preparing,delhi [8] delhi,battle [8] battle,against [8] against,covid [7] drrpnishank,pmoindia [6] clear,jee [6] neet,2020 [6] 2020,postponed Top Word Pairs in Tweet in G6:
[104] think,anything [104] anything,seen [104] seen,perfectly [104] perfectly,captures [104] captures,way [104] way,going [104] going,getting [104] getting,top [104] top,covid [103] brynntannehill,think Top Word Pairs in Tweet in G7:
[68] covid,19 [13] últimas,24 [13] 24,horas [11] ante,covid [11] alba,tcp [11] casos,comunitarios [10] 19,#cubaporlavida [10] #somoscuba,#somoscontinuidad [10] contra,covid [9] nuevos,casos Top Word Pairs in Tweet in G8:
[94] covid,19 [83] boyfriend,diagnosed [83] diagnosed,covid [83] 19,yesterday [83] yesterday,asked [83] asked,needed [83] needed,anything [83] anything,deadass [83] deadass,asked [83] asked,booty Top Word Pairs in Tweet in G9:
[73] florida,more [73] more,covid [73] covid,19 [73] 19,cases [73] cases,europe [72] nathanlerner,florida Top Word Pairs in Tweet in G10:
[35] last,week [35] week,donated [35] donated,life [35] life,saving [35] saving,ventilators [35] ventilators,brazil [35] brazil,peru [35] peru,honduras [35] honduras,great [35] great,job Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G7:
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:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: