The graph represents a network of 12,011 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, 26 February 2021 at 09:17 UTC.
The requested start date was Friday, 26 February 2021 at 01:01 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, 1-minute period from Tuesday, 23 February 2021 at 13:46 UTC to Thursday, 25 February 2021 at 13:47 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 : 12011
Unique Edges : 6974
Edges With Duplicates : 11230
Total Edges : 18204
Number of Edge Types : 5
Retweet : 5147
MentionsInRetweet : 5998
Mentions : 2437
Tweet : 3751
Replies to : 871
Self-Loops : 3783
Reciprocated Vertex Pair Ratio : 0.00716364450414148
Reciprocated Edge Ratio : 0.0142253834185375
Connected Components : 4012
Single-Vertex Connected Components : 1238
Maximum Vertices in a Connected Component : 1720
Maximum Edges in a Connected Component : 3447
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 11.551135
Graph Density : 6.23769038802968E-05
Modularity : 0.577902
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 12,011 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, 26 February 2021 at 09:17 UTC.
The requested start date was Friday, 26 February 2021 at 01:01 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, 1-minute period from Tuesday, 23 February 2021 at 13:46 UTC to Thursday, 25 February 2021 at 13:47 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:
[3310] covid,19 [399] contra,covid [327] 19,vaccine [301] covid,vaccine [217] johnson,johnson [176] covid,relief [134] 500,000 [113] one,year [113] 19,vaccines [105] against,covid Top Word Pairs in Tweet in G1:
[512] covid,19 [67] 19,vaccine [51] contra,covid [37] johnson,johnson [35] covid,vaccine [22] against,covid [19] johnson,single [18] 19,pandemic [18] single,shot [17] single,dose Top Word Pairs in Tweet in G2:
[219] covid,19 [36] johnson,johnson [36] against,severe [35] severe,covid [35] spread,virus [34] breaking,news [34] news,johnson [34] johnson,vaccine [34] vaccine,strongly [34] strongly,protects Top Word Pairs in Tweet in G3:
[20] outrageous,taxpayers' [20] taxpayers',money [20] money,given [20] given,serco's [20] serco's,shareholders [20] shareholders,dividends [20] dividends,government [19] keir_starmer,outrageous [19] government,plac [17] covid,19 Top Word Pairs in Tweet in G4:
[149] covid,19 [46] contra,covid [16] vacunación,personal [16] personal,salud [16] lucha,contra [16] 19,venezuela [15] registrado,139 [15] 139,casos [15] casos,positivos [14] venezuela,registra Top Word Pairs in Tweet in G5:
[77] covid,19 [31] 19,vaccine [31] afirma,vacuna [31] vacuna,contra [31] contra,covid [31] eficaz,dosis [30] #ultimahora,regulador [30] regulador,eeuu [30] eeuu,afirma [30] covid,eficaz Top Word Pairs in Tweet in G6:
[22] covid,19 [12] great,read [12] read,article [12] article,latest [12] latest,techno [12] techno,trends [11] trends,artificial [11] artificial,intelligence [11] intelligence,coronavirus [11] coronavirus,drug Top Word Pairs in Tweet in G7:
[64] one,year [64] year,ago [64] ago,today [36] today,trump [36] trump,economic [36] economic,adviser [36] adviser,larry [36] larry,kudlow [36] kudlow,contained [36] contained,won Top Word Pairs in Tweet in G8:
[42] covid,19 [9] johnson,johnson [7] 19,vaccine [6] china,reportedly [6] reportedly,gave [6] gave,american [6] american,diplomats [6] diplomats,anal [6] anal,covid [6] 19,tests Top Word Pairs in Tweet in G9:
[34] covid,19 [14] covid,lies [14] lies,keep [14] keep,coming [14] coming,exposed [14] exposed,one [14] one,one [12] ingrahamangle,covid [8] 19,vaccine [8] died,covid Top Word Pairs in Tweet in G10:
[65] covid,19 [39] 19,cases [39] cases,dropped [39] dropped,77 [39] 77,six [39] six,weeks [38] drdavidsamadi,covid [22] 19,relief [16] 10,covid [14] bill,sends Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: