The graph represents a network of 11,300 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 Sunday, 09 August 2020 at 07:28 UTC.
The requested start date was Sunday, 09 August 2020 at 00:01 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 Tuesday, 04 August 2020 at 12:23 UTC to Thursday, 06 August 2020 at 12:25 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 : 11300
Unique Edges : 6174
Edges With Duplicates : 12256
Total Edges : 18430
Number of Edge Types : 5
Tweet : 3374
Retweet : 5650
MentionsInRetweet : 6643
Mentions : 2279
Replies to : 484
Self-Loops : 3428
Reciprocated Vertex Pair Ratio : 0.00585700077356614
Reciprocated Edge Ratio : 0.011645792133597
Connected Components : 3466
Single-Vertex Connected Components : 1059
Maximum Vertices in a Connected Component : 1148
Maximum Edges in a Connected Component : 2366
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 8.123477
Graph Density : 7.12883198215521E-05
Modularity : 0.566127
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 11,300 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 Sunday, 09 August 2020 at 07:28 UTC.
The requested start date was Sunday, 09 August 2020 at 00:01 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 Tuesday, 04 August 2020 at 12:23 UTC to Thursday, 06 August 2020 at 12:25 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:
[6622] covid,19 [745] ãƒ,ム[516] ø,ø [319] 19,economic [316] country,depends [316] depends,imports [316] imports,survive [316] survive,officially [316] officially,lost [316] lost,main Top Word Pairs in Tweet in G1:
[848] covid,19 [151] î,î [124] ø,ø [79] ø,ù [61] ù,ø [46] ãƒ,ム[28] ù,ù [28] æ,æ [26] 19,cases [25] 19,pandemic Top Word Pairs in Tweet in G2:
[316] country,depends [316] depends,imports [316] imports,survive [316] survive,officially [316] officially,lost [316] lost,main [316] main,sea [316] sea,port [316] port,mid [316] mid,famine Top Word Pairs in Tweet in G3:
[171] covid,19 [27] contra,covid [23] nuevos,casos [23] 24,horas [21] ãºltimas,24 [18] casos,#covid_19 [15] pdte,nicolasmaduro [15] casos,covid [15] 19,#diosdadopalantevenceremos [14] batalla,contra Top Word Pairs in Tweet in G4:
[137] covid,19 [31] 19,pandemic [21] exams,covid [20] cancel,compartment [19] #savejee_neetstudentspm,government [19] government,conducting [19] conducting,exams [19] pandemic,aspirants [19] aspirants,rn [18] painkillerparth,#savejee_neetstudentspm Top Word Pairs in Tweet in G5:
[77] covid,19 [18] cia,assessed [18] assessed,russia [18] russia,paid [18] paid,money [18] money,people [18] people,kill [18] kill,troops [18] troops,russian [18] russian,hackers Top Word Pairs in Tweet in G6:
[75] kind,stupid [75] stupid,ass [75] ass,country [75] country,live [75] live,guy [75] guy,trying [75] trying,save [75] save,lives [75] lives,dr [75] dr,fauci Top Word Pairs in Tweet in G7:
[75] correctly,address [75] address,pandemic [75] pandemic,canâ [75] canâ,agree [75] agree,numbers [74] drdavidsamadi,correctly [71] covid,19 [47] wearing,mask [47] mask,open [47] open,air Top Word Pairs in Tweet in G8:
[87] covid,19 [42] donald,trump [38] day,one [38] one,donald [38] trump,downplayed [38] downplayed,threat [38] threat,covid [38] 19,posed [38] posed,ignored [38] ignored,scientists Top Word Pairs in Tweet in G9:
[73] covid,19 [10] removed,video [10] children,immune [10] immune,covid [10] 19,misinformation [8] facebook,twitter [8] twitter,removed [8] video,posted [8] posted,trump [8] trump,children Top Word Pairs in Tweet in G10:
[47] big,admission [47] admission,cdc [47] cdc,director [47] director,itâ [47] itâ,possible [47] possible,recorded [47] recorded,covid [47] covid,deaths [47] deaths,involve [47] involve,patients Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: