The graph represents a network of 12,028 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 07 August 2020 at 07:35 UTC.
The requested start date was Friday, 07 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, 0-minute period from Tuesday, 04 August 2020 at 12:22 UTC to Thursday, 06 August 2020 at 12:23 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 : 12028
Unique Edges : 6897
Edges With Duplicates : 12000
Total Edges : 18897
Number of Edge Types : 5
Retweet : 5602
MentionsInRetweet : 6625
Replies to : 843
Mentions : 2483
Tweet : 3344
Self-Loops : 3380
Reciprocated Vertex Pair Ratio : 0.00518403317781234
Reciprocated Edge Ratio : 0.0103145951521403
Connected Components : 3612
Single-Vertex Connected Components : 926
Maximum Vertices in a Connected Component : 1364
Maximum Edges in a Connected Component : 2718
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 8.124483
Graph Density : 6.70188672316907E-05
Modularity : 0.584854
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 12,028 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 07 August 2020 at 07:35 UTC.
The requested start date was Friday, 07 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, 0-minute period from Tuesday, 04 August 2020 at 12:22 UTC to Thursday, 06 August 2020 at 12:23 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
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:
[3903] covid,19 [177] 19,economic [173] country,depends [173] depends,imports [173] imports,survive [173] survive,officially [173] officially,lost [173] lost,main [173] main,sea [173] sea,port Top Word Pairs in Tweet in G1:
[453] covid,19 [24] during,covid [21] 19,cases [17] 19,pandemic [16] casos,covid [13] positive,covid [10] due,covid [8] live,updates [8] ng,covid [8] #savejee_neetstudentspm,#savejee_neetstudentspm Top Word Pairs in Tweet in G2:
[84] covid,19 [50] covid,cases [43] jee,neet [34] neet,exams [32] daily,covid [32] cases,crossing [32] crossing,50k [32] 50k,okay [32] okay,ask [32] ask,students Top Word Pairs in Tweet in G3:
[52] covid,19 [12] 160,000 [9] need,plan [9] retweet,minute [9] minute,hour [9] hour,day [9] day,until [9] until,trump [8] covid,deaths [8] states,coming Top Word Pairs in Tweet in G4:
[112] covid,19 [21] contra,covid [15] nuevos,casos [14] últimas,24 [13] 24,horas [12] transmisión,comunitaria [12] 19,venezuela [11] #covid,19 [10] jorgerpsuv,informó [10] casos,transmisión Top Word Pairs in Tweet in G5:
[175] covid,19 [173] country,depends [173] depends,imports [173] imports,survive [173] survive,officially [173] officially,lost [173] lost,main [173] main,sea [173] sea,port [173] port,mid Top Word Pairs in Tweet in G6:
[53] covid,19 [51] correctly,address [51] address,pandemic [51] pandemic,agree [51] agree,numbers [50] drdavidsamadi,correctly [28] covid,deaths [22] big,admission [22] admission,cdc [22] cdc,director Top Word Pairs in Tweet in G7:
[33] covid,19 [8] face,masks [7] 50,million [7] million,face [7] masks,bought [7] bought,british [7] british,government [7] government,nhs [7] nhs,april [7] april,used Top Word Pairs in Tweet in G8:
[108] ข,าวทหารอเมร [108] าวทหารอเมร,กา [108] กา,พ [108] พ,กท [108] กท,รร [108] รร,conrad [108] conrad,ปรากฏว [108] ปรากฏว,าทหารอเมร [108] าทหารอเมร,ก [108] ก,นต Top Word Pairs in Tweet in G9:
[47] covid,19 [29] donald,trump [25] day,one [25] one,donald [25] trump,downplayed [25] downplayed,threat [25] threat,covid [25] 19,posed [25] posed,ignored [25] ignored,scientists Top Word Pairs in Tweet in G10:
[54] go,away [28] view,schools [28] schools,open [27] holy,shit [27] shit,trump [27] trump,view [27] open,thing [27] thing,going [27] going,away [27] away,go Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
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 G5:
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 G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: