The graph represents a network of 12,232 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 Sunday, 16 May 2021 at 08:00 UTC.
The requested start date was Sunday, 16 May 2021 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 Wednesday, 12 May 2021 at 12:21 UTC to Friday, 14 May 2021 at 12:22 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 : 12232
Unique Edges : 7283
Edges With Duplicates : 12021
Total Edges : 19304
Number of Edge Types : 5
Replies to : 843
Mentions : 2876
Retweet : 5485
MentionsInRetweet : 6545
Tweet : 3555
Self-Loops : 3584
Reciprocated Vertex Pair Ratio : 0.00525040387722132
Reciprocated Edge Ratio : 0.0104459622338288
Connected Components : 3603
Single-Vertex Connected Components : 957
Maximum Vertices in a Connected Component : 2258
Maximum Edges in a Connected Component : 4619
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.990336
Graph Density : 6.6546535331772E-05
Modularity : 0.584194
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 12,232 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 Sunday, 16 May 2021 at 08:00 UTC.
The requested start date was Sunday, 16 May 2021 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 Wednesday, 12 May 2021 at 12:21 UTC to Friday, 14 May 2021 at 12:22 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:
[2624] covid,19 [270] contra,covid [174] cpi,covid [167] 19,vaccine [110] due,covid [109] covid,care [98] covid,relief [97] covid,vaccine [92] against,covid [91] bill,maher Top Word Pairs in Tweet in G1:
[346] covid,19 [86] san,antonio [46] 05,2021 [46] 12,05 [45] available,appointments [45] appointments,detected [45] detected,provider [45] provider,walgreens [45] walgreens,location [45] location,walgreens Top Word Pairs in Tweet in G2:
[96] covid,19 [28] 12,16 [28] 16,weeks [23] gap,between [22] between,doses [22] doses,#covishieldvaccine [22] #covishieldvaccine,increased [22] increased,12 [22] weeks,weeks [22] weeks,currently Top Word Pairs in Tweet in G3:
[25] youth,congress [20] covid,19 [19] plasma,covid [15] need,#blood [15] #blood,type [15] blood,component [13] type,positive [12] covid,recovery [11] component,plasma [11] recovery,patient Top Word Pairs in Tweet in G4:
[18] covid,19 [12] trendsalluarjun,alluarjunhcf [11] black,fungus [11] fungus,covid [10] blood,group [10] group,ve [10] oxygen,icu [10] icu,beds [10] beds,available [10] available,guntur Top Word Pairs in Tweet in G5:
[28] covid,19 [18] oxygen,demand [18] goes,700 [18] 700,mt [13] mt,75k [13] 75k,active [13] active,covid [13] covid,cases [13] cases,582 [13] 582,mt Top Word Pairs in Tweet in G6:
[59] vacinas,contra [59] contra,covid [47] brasil,países [47] países,mais [47] mais,distribuem [47] distribuem,vacinas [47] covid,em [47] em,mundo [47] mundo,são [47] são,82 Top Word Pairs in Tweet in G7:
[20] covid,19 [6] ny,yankees [6] yankees,announced [6] announced,8th [6] 8th,member [6] member,shortstop [6] shortstop,gleyber [6] gleyber,torres [6] torres,positive [6] positive,#covid19 Top Word Pairs in Tweet in G8:
[24] covid,data [24] data,#uttarpradesh [24] #uttarpradesh,#covid19india [23] satishacharya,covid [21] ह,ग [19] covid,19 [16] द,र [13] र,क [13] क,द [13] during,covid Top Word Pairs in Tweet in G9:
[22] covid,19 [17] waiting,lists [15] put,context [15] context,borisjohnson [15] borisjohnson,govt [15] govt,cares [15] cares,little [15] little,million [15] million,patients [15] patients,waiting Top Word Pairs in Tweet in G10:
[23] covid,19 [17] florida,gov [17] gov,ron [17] ron,desantis [17] desantis,pardon [17] pardon,anyone [17] anyone,charged [17] charged,defying [17] defying,covid [17] covid,rules 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 G5:
Top Replied-To in G6:
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: