The graph represents a network of 11,410 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 Saturday, 08 August 2020 at 07:22 UTC.
The requested start date was Saturday, 08 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 : 11410
Unique Edges : 6401
Edges With Duplicates : 12266
Total Edges : 18667
Number of Edge Types : 5
Tweet : 3327
Retweet : 5650
MentionsInRetweet : 6800
Mentions : 2381
Replies to : 509
Self-Loops : 3381
Reciprocated Vertex Pair Ratio : 0.00568425568425568
Reciprocated Edge Ratio : 0.011304255092247
Connected Components : 3426
Single-Vertex Connected Components : 1015
Maximum Vertices in a Connected Component : 1159
Maximum Edges in a Connected Component : 2432
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 8.11728
Graph Density : 7.20328654845964E-05
Modularity : 0.572441
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 11,410 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 Saturday, 08 August 2020 at 07:22 UTC.
The requested start date was Saturday, 08 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:
[6704] covid,19 [320] 19,economic [316] country,depends [316] depends,imports [316] imports,survive [316] survive,officially [316] officially,lost [316] lost,main [316] main,sea [316] sea,port Top Word Pairs in Tweet in G1:
[845] covid,19 [27] 19,cases [25] 19,pandemic [22] casos,covid [20] #covid,19 [18] positive,covid [18] during,covid [17] due,covid [15] cegah,covid [12] 19,vaccine 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:
[172] covid,19 [28] nuevos,casos [27] contra,covid [23] 24,horas [21] últimas,24 [18] casos,#covid_19 [17] lucha,contra [15] pdte,nicolasmaduro [15] casos,covid [15] 19,#diosdadopalantevenceremos Top Word Pairs in Tweet in G4:
[138] 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 [19] please,cancel Top Word Pairs in Tweet in G5:
[101] covid,19 [11] immune,covid [10] 19,misinformation [7] children,immune [7] president,trump [6] twitter,rules [6] rules,covid [6] teamtrump,tweet [6] saying,children [6] trump,covid 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,agree [75] agree,numbers [74] drdavidsamadi,correctly [71] covid,19 [47] wearing,mask [47] mask,open [47] open,air [47] air,convertible 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:
[60] 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 G10:
[47] big,admission [47] admission,cdc [47] cdc,director [47] director,possible [47] possible,recorded [47] recorded,covid [47] covid,deaths [47] deaths,involve [47] involve,patients [47] patients,weren Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: