The graph represents a network of 8,501 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 Wednesday, 06 May 2020 at 07:18 UTC.
The requested start date was Wednesday, 06 May 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 Monday, 04 May 2020 at 12:25 UTC to Tuesday, 05 May 2020 at 12:26 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 : 8501
Unique Edges : 4762
Edges With Duplicates : 7884
Total Edges : 12646
Number of Edge Types : 5
Replies to : 439
Mentions : 1725
Tweet : 2460
Retweet : 3706
MentionsInRetweet : 4316
Self-Loops : 2486
Reciprocated Vertex Pair Ratio : 0.00426877470355731
Reciprocated Edge Ratio : 0.00850125944584383
Connected Components : 2823
Single-Vertex Connected Components : 741
Maximum Vertices in a Connected Component : 468
Maximum Edges in a Connected Component : 949
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.495396
Graph Density : 8.79066130628231E-05
Modularity : 0.586629
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 8,501 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 Wednesday, 06 May 2020 at 07:18 UTC.
The requested start date was Wednesday, 06 May 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 Monday, 04 May 2020 at 12:25 UTC to Tuesday, 05 May 2020 at 12:26 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:
[3404] covid,19 [340] sa,covid [295] sa,dami [294] dami,ng [292] ng,problema [192] abs,cbn [162] dahil,sa [158] pa,ba [156] nagugutom,dahil [155] kulang,pa Top Word Pairs in Tweet in G1:
[439] covid,19 [24] abs,cbn [22] sa,covid [21] 19,pandemic [13] during,covid [12] #covid,19 [12] ang,abs [11] due,covid [10] contra,covid [9] positive,covid Top Word Pairs in Tweet in G2:
[51] covid,19 [9] covid,patients [9] 19,economic [9] economic,fallout [9] fallout,shining [9] shining,light [9] light,exactly [9] exactly,dangerous [9] dangerous,heavily [9] heavily,rely Top Word Pairs in Tweet in G3:
[55] covid,19 [19] making,optimum [19] optimum,use [19] use,covid [19] 19,lockdown [19] lockdown,period [19] period,railways [19] railways,upscaled [19] upscaled,task [19] task,track Top Word Pairs in Tweet in G4:
[151] sa,covid [150] kulang,pa [150] pa,ba [150] ba,ang [150] ang,nagugutom [150] nagugutom,dahil [150] dahil,sa [150] covid,kailangan [150] kailangan,nyo [150] nyo,pang Top Word Pairs in Tweet in G5:
[287] sa,dami [287] dami,ng [286] ng,problema [144] sa,covid [143] problema,ng [143] ng,pilipinas [143] pilipinas,sa [143] ng,nagkakasakit [143] nagkakasakit,namamatay [143] namamatay,sa Top Word Pairs in Tweet in G6:
[107] abs,cbn [60] cbn,shutdown [60] shutdown,means [60] means,filipinos [60] filipinos,lost [60] lost,one [60] one,top [60] top,sources [60] sources,information [60] information,country Top Word Pairs in Tweet in G7:
[8] prime,minister [5] covid,19 [4] covid,free [4] canadian,counterpart [4] minister,imran [4] imran,khan [2] trudeau,pledges [2] pledges,850 [2] 850,000 [2] 000,000 Top Word Pairs in Tweet in G8:
[9] covid,19 [7] record,deaths [5] hate,crimes [5] crimes,against [5] against,chinese [5] chinese,people [5] france,record [5] record,died [5] died,covid [5] covid,france Top Word Pairs in Tweet in G9:
[34] covid,19 [29] cumbre,virtual [26] unidos,contra [19] contra,covid [12] virtual,#mnoal [11] #mnoal,unidos [10] presidente,diazcanelb [8] virtual,unidos [8] reto,global [8] miguel,díaz Top Word Pairs in Tweet in G10:
[16] reporte,#covid_19mx [16] #covid_19mx,#edoméx [13] covid,19 [11] alfredodelmazo,reporte [7] #covid_19mx,realidad [7] realidad,causado [7] causado,muchos [7] muchos,enfermos [7] enfermos,muchas [7] muchas,muertes Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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:
Top Mentioned in G4:
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:
Top Tweeters in G2:
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: