The graph represents a network of 11,325 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 Monday, 10 August 2020 at 07:21 UTC.
The requested start date was Monday, 10 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 3-day, 18-hour, 36-minute period from Wednesday, 05 August 2020 at 12:23 UTC to Sunday, 09 August 2020 at 07:00 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 : 11325
Unique Edges : 6366
Edges With Duplicates : 12546
Total Edges : 18912
Number of Edge Types : 5
Tweet : 3172
Mentions : 2458
Retweet : 5792
MentionsInRetweet : 7004
Replies to : 486
Self-Loops : 3223
Reciprocated Vertex Pair Ratio : 0.00492765778989306
Reciprocated Edge Ratio : 0.00980699008868023
Connected Components : 3244
Single-Vertex Connected Components : 940
Maximum Vertices in a Connected Component : 1518
Maximum Edges in a Connected Component : 3134
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.553027
Graph Density : 7.4740163890325E-05
Modularity : 0.571264
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 11,325 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 Monday, 10 August 2020 at 07:21 UTC.
The requested start date was Monday, 10 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 3-day, 18-hour, 36-minute period from Wednesday, 05 August 2020 at 12:23 UTC to Sunday, 09 August 2020 at 07:00 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:
[6663] covid,19 [376] ø,ø [292] ãƒ,ム[257] 19,cases [224] ø,ù [176] 19,pandemic [176] ù,ø [173] due,covid [167] 19,economic [165] country,depends Top Word Pairs in Tweet in G1:
[735] covid,19 [85] î,î [73] ø,ø [41] ø,ù [30] ù,ø [20] 19,pandemic [19] #covid,19 [19] 19,cases [17] ãƒ,ム[16] cegah,covid Top Word Pairs in Tweet in G2:
[344] covid,19 [106] tests,negative [105] amit,shah [102] home,minister [102] negative,covid [94] shah,tests [88] 19,amitshah [87] minister,amit [78] manakgupta,home [36] 19,pandemic Top Word Pairs in Tweet in G3:
[158] covid,19 [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 Top Word Pairs in Tweet in G4:
[83] covid,19 [13] #protecciã,nysaludenmarcha [13] nuevos,casos [11] contra,covid [11] contra,#covid_19 [11] comunicaciã,cultura [11] cultura,turismo [11] turismo,jorgerpsuv [9] lucha,contra [9] sectorial,comunicaciã Top Word Pairs in Tweet in G5:
[124] covid,19 [11] year,old [11] 19,take [11] take,hcq [11] hcq,zinc [11] zinc,yes [10] 19,misinformation [10] ek7_prn,covid [9] 10,year [9] old,hospitalized Top Word Pairs in Tweet in G6:
[165] country,depends [165] depends,imports [165] imports,survive [165] survive,officially [165] officially,lost [165] lost,main [165] main,sea [165] sea,port [165] port,mid [165] mid,famine Top Word Pairs in Tweet in G7:
[114] covid,19 [77] spread,covid [76] breaking,zealand [76] zealand,gone [76] gone,100 [76] 100,days [76] days,detected [76] detected,community [76] community,spread [76] 19,ministry Top Word Pairs in Tweet in G8:
[75] correctly,address [75] address,pandemic [75] pandemic,canâ [75] canâ,agree [75] agree,numbers [74] drdavidsamadi,correctly [70] covid,19 [47] wearing,mask [47] mask,open [47] open,air Top Word Pairs in Tweet in G9:
[112] covid,19 [50] donald,trump [45] refused,take [41] united,states [41] states,passed [41] passed,million [41] million,reported [41] reported,infections [41] infections,covid [41] 19,number Top Word Pairs in Tweet in G10:
[25] covid,19 [10] 50,million [10] million,face [10] face,masks [10] masks,bought [10] bought,british [10] british,government [10] government,nhs [10] nhs,april [10] april,used 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:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: