The graph represents a network of 11,729 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 Tuesday, 26 January 2021 at 08:33 UTC.
The requested start date was Tuesday, 26 January 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, 0-minute period from Wednesday, 20 January 2021 at 13:46 UTC to Friday, 22 January 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 : 11729
Unique Edges : 6494
Edges With Duplicates : 11454
Total Edges : 17948
Number of Edge Types : 5
Retweet : 5324
MentionsInRetweet : 6169
Tweet : 3493
Replies to : 827
Mentions : 2135
Self-Loops : 3538
Reciprocated Vertex Pair Ratio : 0.0058883478654739
Reciprocated Edge Ratio : 0.0117077563886075
Connected Components : 3819
Single-Vertex Connected Components : 1191
Maximum Vertices in a Connected Component : 988
Maximum Edges in a Connected Component : 2073
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.857352
Graph Density : 6.45765320667735E-05
Modularity : 0.574468
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 11,729 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 Tuesday, 26 January 2021 at 08:33 UTC.
The requested start date was Tuesday, 26 January 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, 0-minute period from Wednesday, 20 January 2021 at 13:46 UTC to Friday, 22 January 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:
[3140] covid,19 [465] contra,covid [228] covid,positivo [223] negativo,covid [221] positivo,quererte [221] quererte,bb [220] auronplay,negativo [192] 19,vaccine [182] covid,over [178] once,covid Top Word Pairs in Tweet in G1:
[412] covid,19 [166] covid,over [165] once,covid [164] _kiranxx,once [164] over,starting [164] starting,sound [164] sound,lot [164] lot,win [164] win,lottery [37] contra,covid Top Word Pairs in Tweet in G2:
[69] covid,19 [46] 400,000 [45] lost,covid [44] 000,americans [43] over,400 [43] americans,ve [43] ve,lost [41] tonight,washington [41] washington,nation [41] nation,came Top Word Pairs in Tweet in G3:
[221] negativo,covid [221] covid,positivo [221] positivo,quererte [221] quererte,bb [220] auronplay,negativo [2] feliz,año [2] año,nuevo [2] nuevo,mis [2] mis,panas [2] panas,espero Top Word Pairs in Tweet in G4:
[163] covid,19 [78] contra,covid [55] fondo,humanitario [53] humanitario,banco [51] banco,medicinas [40] crea,fondo [37] #vacunasparalospueblos,crea [37] medicinas,través [29] día,#vacunasparalospueblos [28] través,estados Top Word Pairs in Tweet in G5:
[29] covid,19 [23] world,largest [23] vaccination,drive [22] largest,vaccination [22] drive,underway [22] underway,india [22] india,frontline [22] frontline,warriors [22] warriors,getting [22] getting,vaccinated Top Word Pairs in Tweet in G6:
[69] president,trump [65] covid,19 [53] yamiche,president [51] executive,orders [35] trump,left [31] orders,related [31] left,field [31] field,expected [31] expected,president [31] trump,last Top Word Pairs in Tweet in G7:
[117] covid,19 [59] positive,covid [58] aislarme,contacto [58] contacto,estrecho [58] estrecho,último [58] último,test [58] test,hicieron [58] hicieron,dio [58] dio,positivo [58] positivo,covid Top Word Pairs in Tweet in G8:
[41] covid,19 [22] muertos,covid [19] contra,covid [15] mil,muertos [10] testimonio,jorgesuarezv [9] gobierno,federal [9] muertes,covid [9] lopezobrador_,recordar [9] recordar,salud [9] covid,niños Top Word Pairs in Tweet in G9:
[37] covid,19 [27] vaccine,distribution [27] distribution,plan [27] 000,americans [27] americans,died [27] died,covid [26] president,biden [26] biden,attending [26] attending,ceremonies [26] ceremonies,today Top Word Pairs in Tweet in G10:
[71] jackson,mthembu [58] deep,sorrow [58] sorrow,shock [47] minister,presidency [46] presidency,jackson [45] passed,away [44] mthembu,passed [43] away,earlier [42] shock,announce [42] announce,minister Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: