The graph represents a network of 11,689 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, 07 April 2021 at 07:36 UTC.
The requested start date was Tuesday, 06 April 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 3-day, 0-hour, 1-minute period from Friday, 02 April 2021 at 13:29 UTC to Monday, 05 April 2021 at 13:30 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 : 11689
Unique Edges : 7134
Edges With Duplicates : 11759
Total Edges : 18893
Number of Edge Types : 5
Tweet : 3913
Retweet : 5292
MentionsInRetweet : 6320
Replies to : 752
Mentions : 2616
Self-Loops : 3949
Reciprocated Vertex Pair Ratio : 0.00466782457663917
Reciprocated Edge Ratio : 0.00929227444624527
Connected Components : 3905
Single-Vertex Connected Components : 1212
Maximum Vertices in a Connected Component : 693
Maximum Edges in a Connected Component : 2158
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 4.801537
Graph Density : 6.77421321191601E-05
Modularity : 0.570162
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 11,689 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, 07 April 2021 at 07:36 UTC.
The requested start date was Tuesday, 06 April 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 3-day, 0-hour, 1-minute period from Friday, 02 April 2021 at 13:29 UTC to Monday, 05 April 2021 at 13:30 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:
[3595] covid,19 [403] contra,covid [197] 19,vaccine [179] covid,vaccine [149] covid,cases [110] casos,covid [102] variantes,brasileñas [100] 19,cases [100] brasileñas,covid [97] 19,siguen Top Word Pairs in Tweet in G1:
[482] covid,19 [40] 19,vaccine [38] covid,vaccine [37] contra,covid [19] casos,covid [18] 19,pandemic [16] positive,covid [12] #covid,19 [12] 19,cases [11] last,year Top Word Pairs in Tweet in G2:
[632] covid,19 [115] contra,covid [96] variantes,brasileñas [94] brasileñas,covid [91] 19,siguen [82] día,#radicalescontralacovid19 [82] #radicalescontralacovid19,variantes [77] etiqueta,día [75] medidas,bioseguridad [75] siguen,haciendo Top Word Pairs in Tweet in G3:
[100] covid,19 [29] 19,vaccination [28] reviewed,covid [28] vaccination,related [28] related,situation [28] situation,country [28] country,reiterated [28] reiterated,importance [28] importance,five [28] five,fold Top Word Pairs in Tweet in G4:
[51] uk,cinema [51] cinema,association [42] covid,passports [19] covid,tests [17] association,covid [17] association,reiterates [17] reiterates,opposition [17] opposition,use [17] use,covid [17] covid,status Top Word Pairs in Tweet in G5:
[33] covid,19 [22] pessoas,não [21] há,algo [21] algo,estranho [21] estranho,pessoas [21] não,falecem [21] falecem,mais [21] mais,tuberculose [21] tuberculose,antes [21] antes,os Top Word Pairs in Tweet in G6:
[16] telegraph,writes [16] writes,need [16] need,covid [16] covid,passports [16] passports,authoritarian [16] authoritarian,illogical [16] illogical,vile [16] vile,whole [15] stevebakerhw,telegraph [15] whole,architec Top Word Pairs in Tweet in G7:
[28] covid,19 [19] florida,governor [19] announced,partnership [18] 60,minutes [17] campaign,finance [17] finance,reports [17] reports,obtained [17] obtained,60 [17] minutes,show [17] show,weeks Top Word Pairs in Tweet in G8:
[46] covid,19 [40] 19,vaccine [39] vaccine,safe [39] safe,pregnant [39] pregnant,women [39] women,watch [39] watch,below [39] below,dr [39] dr,fauci [39] fauci,explains Top Word Pairs in Tweet in G9:
[7] covid,19 [2] labour,leader [2] leader,sir [2] sir,keir [2] keir,starmer [2] starmer,criticised [2] criticised,visiting [2] visiting,church [2] church,homophobic [2] homophobic,links Top Word Pairs in Tweet in G10:
[12] dr,satoshi [12] satoshi,ōmura [12] ōmura,co [12] co,developer [12] developer,#ivermectin [12] #ivermectin,meta [12] meta,analysis [12] analysis,reported [12] reported,improvements [12] improvements,83 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 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: