The graph represents a network of 8,287 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, 05 July 2020 at 07:36 UTC.
The requested start date was Sunday, 05 July 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 Thursday, 02 July 2020 at 12:14 UTC to Friday, 03 July 2020 at 12:15 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 : 8287
Unique Edges : 4730
Edges With Duplicates : 7687
Total Edges : 12417
Number of Edge Types : 5
Retweet : 3679
MentionsInRetweet : 4330
Replies to : 488
Tweet : 2248
Mentions : 1672
Self-Loops : 2278
Reciprocated Vertex Pair Ratio : 0.00518460329929301
Reciprocated Edge Ratio : 0.0103157236636449
Connected Components : 2665
Single-Vertex Connected Components : 725
Maximum Vertices in a Connected Component : 711
Maximum Edges in a Connected Component : 1504
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.68887
Graph Density : 9.31755506306592E-05
Modularity : 0.591454
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 8,287 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, 05 July 2020 at 07:36 UTC.
The requested start date was Sunday, 05 July 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 Thursday, 02 July 2020 at 12:14 UTC to Friday, 03 July 2020 at 12:15 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:
[3221] covid,19 [148] terror,bill [145] mass,testing [127] 19,cases [115] mas,nauna [115] sa,mass [114] fucking,believe [114] believe,mas [114] nauna,pang [114] pang,mapatupad Top Word Pairs in Tweet in G1:
[392] covid,19 [14] covid,cases [11] 19,pandemic [9] 19,cases [9] during,covid [9] casos,covid [8] due,covid [8] #covid,19 [6] contra,covid [6] sa,covid Top Word Pairs in Tweet in G2:
[182] covid,19 [78] dr,fauci [77] told,months [77] months,hydroxychloroquine [77] hydroxychloroquine,effective [77] effective,against [77] against,covid [77] 19,dr [77] fauci,cdc [76] drdavidsamadi,told Top Word Pairs in Tweet in G3:
[73] covid,19 [19] realdonaldtrump,loudobbs [16] death,rate [15] breaking,hydroxychloroquine [15] hydroxychloroquine,lowers [15] lowers,covid [15] 19,death [15] rate,study [15] study,finds [14] wear,mask Top Word Pairs in Tweet in G4:
[114] fucking,believe [114] believe,mas [114] mas,nauna [114] nauna,pang [114] pang,mapatupad [114] mapatupad,ang [114] ang,terror [114] terror,bill [114] bill,kaysa [114] kaysa,sa Top Word Pairs in Tweet in G5:
[92] covid,19 [27] 19,parties [25] young,people [25] people,alabama [25] alabama,throwing [25] throwing,covid [25] parties,disturbing [25] disturbing,competition [25] competition,people [25] people,coronavirus Top Word Pairs in Tweet in G6:
[92] first,day [92] day,back [92] back,school [92] school,nobody [92] nobody,teachers [92] teachers,write [92] write,essay [92] essay,covid [92] covid,19 [92] 19,impacted Top Word Pairs in Tweet in G7:
[7] covid,19 [6] क,य [6] drrpnishank,let's [6] let's,take [6] take,bow [6] bow,made [6] made,stronger [6] stronger,raised [6] raised,voice [6] voice,more Top Word Pairs in Tweet in G8:
[27] covid,19 [9] hecho,toda [9] recupera,venciendo [9] venciendo,pandemia [9] pandemia,#somoscuba [8] primera,fase [8] fase,recuperación [7] pos,covid [6] recuperación,covid [5] ante,covid Top Word Pairs in Tweet in G9:
[55] covid,19 [55] 19,complications [45] father,abdulmanap [45] passed,away [45] away,following [45] following,series [45] series,covid [41] nurmagomedov,father [38] khabib,nurmagomedov [31] breaking,khabib Top Word Pairs in Tweet in G10:
[8] covid,19 [4] water,mark [4] mark,covid [4] covid,actually [4] actually,come [4] come,spain [2] spain,#moatsmedic [2] #moatsmedic,dr [2] dr,ranjeet [2] ranjeet,brar Top Replied-To in Entire Graph:
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 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: