The graph represents a network of 954 Twitter users whose recent tweets contained "#coronavirus", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 500 tweets. The network was obtained from Twitter on Wednesday, 18 March 2020 at 09:24 UTC.
The tweets in the network were tweeted over the 0-minute period from Wednesday, 18 March 2020 at 09:18 UTC to Wednesday, 18 March 2020 at 09:18 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 : 954
Unique Edges : 931
Edges With Duplicates : 55
Total Edges : 986
Number of Edge Types : 5
Retweet : 296
Tweet : 314
MentionsInRetweet : 168
Replies to : 20
Mentions : 188
Self-Loops : 316
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 376
Single-Vertex Connected Components : 81
Maximum Vertices in a Connected Component : 73
Maximum Edges in a Connected Component : 112
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.177547
Graph Density : 0.000724843317252591
Modularity : 0.805531
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 954 Twitter users whose recent tweets contained "#coronavirus", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 500 tweets. The network was obtained from Twitter on Wednesday, 18 March 2020 at 09:24 UTC.
The tweets in the network were tweeted over the 0-minute period from Wednesday, 18 March 2020 at 09:18 UTC to Wednesday, 18 March 2020 at 09:18 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 : TwitterSearch
Graph Term : #coronavirus
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[50] #coronavirus,#covid19 [29] covid,19 [26] क,र [23] #covid19,#coronavirus [22] क,स [21] #covid2019,#coronavirus [16] #coronavirus,#covid2019 [15] र,य [15] र,न [15] spread,#coronavirus Top Word Pairs in Tweet in G1:
[4] #covid19,#coronavirus [4] 0,0 [4] #coronavirus,#covid19 [4] #coronavirus,#covid2019 [3] #covid2019,#coronavirus [2] #confinementotal,#confinementjour1 [2] #coronavirus,#coronavirusfrance [2] western,land [2] land,border [2] technical,indicators Top Word Pairs in Tweet in G2:
[8] सरक,र [4] क,र [4] न,म [4] 167,स [4] स,द [4] द,ग [4] ग,ध [4] ध,मर [4] मर,ज [4] र,ह Top Word Pairs in Tweet in G3:
[4] new,#coronavirus [4] रह,ह [2] 'chitti,robot' [2] robot',chores [2] chores,movie [2] movie,stunned [2] stunned,now [2] now,first [2] first,india [2] india,two Top Word Pairs in Tweet in G4:
[4] pm,borisjohnson [4] #coronavirus,#covid19 [3] eu,external [3] external,travel [3] travel,ban [3] ban,complications [3] complications,eu [3] eu,prefer [3] prefer,ireland [3] ireland,join Top Word Pairs in Tweet in G5:
[2] nella,corsa [2] corsa,per [2] per,vita [2] vita,è [2] è,tempo [2] tempo,di [2] di,ascoltare [2] ascoltare,quello [2] quello,che [2] che,dicono Top Word Pairs in Tweet in G6:
[9] morning,white [9] white,house [9] house,official [9] official,referred [9] referred,#coronavirus [9] #coronavirus,kung [9] kung,flu [9] flu,face [9] face,makes [9] makes,wonder Top Word Pairs in Tweet in G7:
[7] ministry,external [7] external,affairs [7] affairs,written [7] written,reply [7] reply,question [7] question,lok [7] lok,sabha [7] sabha,276 [7] 276,indians [7] indians,infected Top Word Pairs in Tweet in G8:
[12] herd,immunity [6] around,60 [6] 60,uk's [6] uk's,population [6] population,66 [6] 66,4 [6] 4,million [6] million,need [6] need,become [6] become,infected Top Word Pairs in Tweet in G9:
[7] #coronavirus,क [7] क,ज [7] ज,म [7] म,न [7] न,म [7] म,द [7] द,र [7] र,य [7] य,ज [7] ज,र Top Word Pairs in Tweet in G10:
[2] #covid19,collapse [2] collapse,'we [2] 'we,2 [2] 2,pay [2] pay,checks [2] checks,away [2] away,disaster' [2] disaster',china [2] china,better [2] better,equipped Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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: