The graph represents a network of 9,661 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 05 September 2020 at 10:39 UTC.
The requested start date was Saturday, 05 September 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, 4-minute period from Tuesday, 01 September 2020 at 07:06 UTC to Thursday, 03 September 2020 at 07:11 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 : 9661
Unique Edges : 4935
Edges With Duplicates : 11899
Total Edges : 16834
Number of Edge Types : 5
Retweet : 5104
MentionsInRetweet : 5805
Tweet : 3882
Mentions : 1731
Replies to : 312
Self-Loops : 3925
Reciprocated Vertex Pair Ratio : 0.00639403223657919
Reciprocated Edge Ratio : 0.0127068166776969
Connected Components : 3005
Single-Vertex Connected Components : 1182
Maximum Vertices in a Connected Component : 1929
Maximum Edges in a Connected Component : 4353
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 11.72069
Graph Density : 8.09534310432138E-05
Modularity : 0.52541
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 9,661 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 05 September 2020 at 10:39 UTC.
The requested start date was Saturday, 05 September 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, 4-minute period from Tuesday, 01 September 2020 at 07:06 UTC to Thursday, 03 September 2020 at 07:11 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 : Coronavirus
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:
[687] covid,19 [355] àª,ઠ[254] ø,ø [218] ãƒ,ム[190] î,î [176] ø,ù [175] coronavirus,pandemic [170] ì,ì [167] coronavirus,cases [148] ù,ø Top Word Pairs in Tweet in G1:
[190] î,î [164] covid,19 [74] ø,ø [67] àª,ઠ[52] ù,ø [52] story,npr [44] ø,ù [41] coronavirus,cases [28] #covid19,#coronavirus [27] coronavirus,vaccine Top Word Pairs in Tweet in G2:
[46] covid,19 [25] skynews,coronavirus [24] health,secretary [21] hong,kong [20] tony,abbott [18] abbott,right [18] right,person [18] person,represent [18] represent,homophobic [18] homophobic,misogynist Top Word Pairs in Tweet in G3:
[39] government,overpaid [39] overpaid,hundreds [39] hundreds,millions [39] millions,philips [39] philips,ventilators [39] ventilators,house [39] house,investigation [39] investigation,spurred [39] spurred,propublica [38] propublica,government Top Word Pairs in Tweet in G4:
[40] sexe,#covid19 [38] mediavenir,sexe [37] #covid19,portez [37] portez,#masque [37] #masque,quand [37] quand,faites [37] faites,l'amour [37] l'amour,recommande [37] recommande,#canada [37] #canada,afin Top Word Pairs in Tweet in G5:
[21] nada,sufrir [21] sufrir,hideputa [21] hideputa,haber [21] haber,tenido [21] tenido,mirar [21] mirar,muchas [21] muchas,veces [21] veces,bajo [21] bajo,coche [21] coche,padre Top Word Pairs in Tweet in G6:
[41] coronavirus,vaccine [18] white,house [17] covid,19 [16] house,participate [16] participate,international [16] international,effort [16] effort,develop [16] develop,distribute [16] distribute,coronavirus [14] cnn,white Top Word Pairs in Tweet in G7:
[26] pedro,cavadas [23] cavadas,reclama [23] reclama,auditorã [23] auditorã,independiente [23] independiente,gestiã [22] gestiã,coronavirus [22] coronavirus,espaã [14] pedro,sã [14] sã,nchez [14] nchez,coronavirus Top Word Pairs in Tweet in G8:
[16] covid,19 [12] months,ago [12] united,states [12] fewer,10 [12] 10,000 [10] cdc,medical [10] medical,establishment [10] establishment,given [10] given,explanation [10] explanation,revised Top Word Pairs in Tweet in G9:
[6] ªà,œà [4] œà,ˆ [4] trying,much [4] much,possible [4] possible,overcome [4] overcome,drastic [4] drastic,effects [4] effects,coronavirus [4] coronavirus,nepal [4] nepal,people Top Word Pairs in Tweet in G10:
[4] grifting,misogyny [4] misogyny,never [4] never,stop [4] stop,administration [4] administration,2nd [4] 2nd,navarro [4] navarro,contract [4] contract,under [4] under,fire [4] fire,came Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: