The graph represents a network of 1,427 Twitter users whose recent tweets contained "bcbs", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 31 May 2020 at 15:13 UTC.
The tweets in the network were tweeted over the 7-day, 23-hour, 29-minute period from Saturday, 23 May 2020 at 15:24 UTC to Sunday, 31 May 2020 at 14:53 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 : 1427
Unique Edges : 1440
Edges With Duplicates : 163
Total Edges : 1603
Number of Edge Types : 5
Replies to : 168
Mentions : 247
Retweet : 952
MentionsInRetweet : 81
Tweet : 155
Self-Loops : 163
Reciprocated Vertex Pair Ratio : 0.0125
Reciprocated Edge Ratio : 0.0246913580246914
Connected Components : 177
Single-Vertex Connected Components : 58
Maximum Vertices in a Connected Component : 569
Maximum Edges in a Connected Component : 573
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 1.996627
Graph Density : 0.000676691064237983
Modularity : 0.740555
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 1,427 Twitter users whose recent tweets contained "bcbs", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 31 May 2020 at 15:13 UTC.
The tweets in the network were tweeted over the 7-day, 23-hour, 29-minute period from Saturday, 23 May 2020 at 15:24 UTC to Sunday, 31 May 2020 at 14:53 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 : bcbs
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in G2:
[572] insurance,companies [567] companies,offers [567] offers,free [567] free,coronavirus [567] coronavirus,care [567] care,expire [567] expire,june [567] june,united [567] united,health [567] health,anthem Top Word Pairs in Tweet in G3:
[145] previous,generation [145] faster,previous [145] bcbs,gives [145] gives,pediatrician [145] pediatrician,400 [145] 400,child [145] child,100 [145] 100,#vaccines [145] #vaccines,including [145] including,#flu Top Word Pairs in Tweet in G4:
[55] blue,cross [49] blue,shield [49] cross,blue [49] fraud,scheme [49] sue,cvs [49] bcbs,companies [49] companies,sue [49] cvs,claiming [49] claiming,decadelong [49] decadelong,insurance Top Word Pairs in Tweet in G5:
Top Word Pairs in Tweet in G6:
[] bcbs,companies [] during,#covid19 [] data,bcbsassociation [] bcbsassociation,explores [] explores,behavioral [] behavioral,health [] health,impact [] impact,#covid19 [] #covid19,having [] having,workforce Top Word Pairs in Tweet in G7:
[10] feature,rpa [8] rpa,healthcare [6] healthcare,crisis [6] crisis,scale [6] scale,blue_prism [6] blue_prism,elementblue1 [6] elementblue1,stevengerhardt1 [6] stevengerhardt1,ellismedicine [6] ellismedicine,jerryadach [6] jerryadach,bcbs_companies Top Word Pairs in Tweet in G8:
[3] ma,meilleure [3] s'il,plaît [3] plaît,partager [3] partager,voyait [3] voyait,appeler [3] appeler,j'avais [3] j'avais,tweeter [3] tweeter,sa [3] sa,disparition [3] disparition,soir Top Word Pairs in Tweet in G9:
[4] beckershr,bcbs [2] reading,beckershr [2] bcbs,tn [2] bcbs,companies [2] companies,sue [2] sue,cvs [2] cvs,claiming [2] claiming,decadelong [2] decadelong,insurance [2] insurance,fraud Top Word Pairs in Tweet in G10:
[6] wealthy,donors [4] healthcare,companies [3] sonya007,marcshimo [3] marcshimo,sherrisantosmsn [3] sherrisantosmsn,joebiden [3] joebiden,senwarren [3] senwarren,senkamalaharris [3] senkamalaharris,ambassadorrice Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: