The graph represents a network of 7,977 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 Friday, 10 July 2020 at 07:02 UTC.
The requested start date was Friday, 10 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 0-hour, 1-minute period from Wednesday, 08 July 2020 at 12:15 UTC to Thursday, 09 July 2020 at 12:17 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 : 7977
Unique Edges : 4388
Edges With Duplicates : 8179
Total Edges : 12567
Number of Edge Types : 5
Retweet : 3757
MentionsInRetweet : 4415
Tweet : 2422
Replies to : 304
Mentions : 1669
Self-Loops : 2446
Reciprocated Vertex Pair Ratio : 0.00718601992487343
Reciprocated Edge Ratio : 0.0142694989460029
Connected Components : 2540
Single-Vertex Connected Components : 700
Maximum Vertices in a Connected Component : 735
Maximum Edges in a Connected Component : 1531
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.060503
Graph Density : 9.69279909428675E-05
Modularity : 0.567542
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 7,977 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 Friday, 10 July 2020 at 07:02 UTC.
The requested start date was Friday, 10 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 0-hour, 1-minute period from Wednesday, 08 July 2020 at 12:15 UTC to Thursday, 09 July 2020 at 12:17 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:
[5047] covid,19 [192] positive,covid [175] 19,cases [152] 19,pandemic [107] tested,positive [93] due,covid [84] during,covid [77] 19,treatments [76] effective,covid [71] media,admit Top Word Pairs in Tweet in G1:
[572] covid,19 [28] 19,pandemic [23] 19,cases [23] during,covid [19] #covid,19 [15] positive,covid [11] 19,crisis [10] due,covid [9] tested,positive [8] 19,patients Top Word Pairs in Tweet in G2:
[108] covid,19 [19] death,rate [13] realdonaldtrump,covid [13] 19,china [12] china,virus [11] virus,death [11] rate,plunges [11] plunges,peak [11] peak,tenfold [11] tenfold,decrease Top Word Pairs in Tweet in G3:
[184] covid,19 [38] etiqueta,día [38] 19,gran [38] gran,capacidad [38] capacidad,médica [37] #saludyprotecciónpopular,enfrentamos [37] enfrentamos,covid [36] #9jul,etiqueta [36] día,#saludyprotecciónpopular [35] médica,científica Top Word Pairs in Tweet in G4:
[126] covid,19 [70] media,admit [70] admit,effective [70] effective,covid [70] 19,treatments [70] treatments,wouldn [70] wouldn,continue [69] drdavidsamadi,media [62] three,times [31] tested,covid Top Word Pairs in Tweet in G5:
[82] covid,19 [58] understanding,correctly [58] correctly,covid [58] 19,deadly [58] deadly,paul [58] paul,manafort [58] manafort,michael [58] michael,cohen [58] cohen,released [57] itsjefftiedrich,understanding Top Word Pairs in Tweet in G6:
[90] covid,19 [13] 19,surge [13] reminder,schools [13] schools,germany [13] germany,norway [13] norway,denmark [13] denmark,open [13] open,safely [13] safely,leaders [13] leaders,contained Top Word Pairs in Tweet in G7:
[36] covid,19 [12] determined,curb [12] curb,spread [12] spread,covid [12] 19,railways [12] railways,develops [12] develops,novel [12] novel,device [12] device,ensure [12] ensure,social Top Word Pairs in Tweet in G8:
[56] covid,19 [12] bill,nye [12] tested,positive [12] positive,covid [8] nearly,half [8] half,employees [8] employees,arizona [8] arizona,ice [8] ice,detention [8] detention,center Top Word Pairs in Tweet in G9:
[67] paddy,field [66] bts,jimin [66] jimin,fans [66] fans,donated [66] donated,709kg [66] 709kg,rice [66] rice,jimin [66] jimin,paddy [66] field,goyang [66] goyang,sidong Top Word Pairs in Tweet in G10:
[50] covid,19 [9] during,covid [8] refusing,wear [8] wear,face [8] face,mask [8] mask,during [8] 19,pandemic [8] pandemic,socially [8] socially,unacceptable [8] unacceptable,drunk Top Replied-To in Entire Graph:
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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: