The graph represents a network of 1,767 Twitter users whose tweets in the requested range contained "bcbs", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 29 November 2020 at 13:56 UTC.
The requested start date was Saturday, 28 November 2020 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 13-day, 23-hour, 42-minute period from Saturday, 14 November 2020 at 01:07 UTC to Saturday, 28 November 2020 at 00:49 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 : 1767
Unique Edges : 1239
Edges With Duplicates : 1159
Total Edges : 2398
Number of Edge Types : 5
Retweet : 385
MentionsInRetweet : 448
Mentions : 733
Tweet : 404
Replies to : 428
Self-Loops : 417
Reciprocated Vertex Pair Ratio : 0.0249821556031406
Reciprocated Edge Ratio : 0.0487465181058496
Connected Components : 497
Single-Vertex Connected Components : 221
Maximum Vertices in a Connected Component : 218
Maximum Edges in a Connected Component : 382
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.495201
Graph Density : 0.00046017941869982
Modularity : 0.628223
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,767 Twitter users whose tweets in the requested range contained "bcbs", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 29 November 2020 at 13:56 UTC.
The requested start date was Saturday, 28 November 2020 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 13-day, 23-hour, 42-minute period from Saturday, 14 November 2020 at 01:07 UTC to Saturday, 28 November 2020 at 00:49 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 : 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[87] blue,cross [74] cross,blue [74] blue,shield [64] bcbs,fep [62] black,friday [55] health,insurance [51] bourbon,county [51] bcbs,report [49] lotusoak2,bcbs [44] health,decline Top Word Pairs in Tweet in G1:
[22] black,friday [12] blue,cross [10] health,insurance [10] cross,blue [10] blue,shield [9] goose,island [8] bcbs,insurance [8] covid,19 [7] bourbon,county [6] horizon,bcbs Top Word Pairs in Tweet in G2:
[34] bourbon,county [29] gooseisland,#bcbs [27] black,friday [18] gooseisland,bourbon [17] gooseisland,bcbs [16] county,brand [14] brand,stout [14] goose,island [9] 2020,#bcbs [8] island,bcbs Top Word Pairs in Tweet in G3:
[2] topleveltroll2,ziggystardad [2] ziggystardad,qdecoder [2] qdecoder,brian_alford [2] brian_alford,caseykacee69 [2] caseykacee69,ahrehead [2] ahrehead,waywardmegan15 [2] _kel_varnsen_,janettewhittem1 [2] janettewhittem1,mathmomma24 [2] mathmomma24,laylow88861429 [2] laylow88861429,madlabbt Top Word Pairs in Tweet in G4:
[13] ilhanmn,bcbs [5] bcbs,denied [5] refused,cover [4] bcbs,mn [3] anthem,bcbs [3] bcbs,ma [3] diabetes,supplies [3] medical,device [3] covid,test [3] denied,husband's Top Word Pairs in Tweet in G5:
[51] bcbs,report [49] lotusoak2,bcbs [44] health,decline [42] millennials,sick [33] previous,generation [31] report,nov [31] nov,2019 [31] 2019,millennials [31] sick,getting [31] getting,sicker Top Word Pairs in Tweet in G6:
[28] critical,childhood [20] children,missed [20] due,#covid19 [19] 40,parents [19] parents,children [19] missed,#vaccinations [19] #vaccinations,due [19] #covid19,decrease [19] decrease,critical [19] childhood,vaccination Top Word Pairs in Tweet in G7:
[2] chronic_flkeys,heard [2] heard,same [2] same,bcbs [2] bcbs,kaiser [2] kaiser,encouraging [2] encouraging,physicians [2] physicians,cut [2] cut,patients [2] patients,think Top Word Pairs in Tweet in G8:
[34] health,insurance [33] give,money [33] money,health [33] insurance,program [33] program,medicare [33] medicare,medicaid [33] medicaid,bcbs [33] bcbs,cigna [33] cigna,humana [33] humana,pay Top Word Pairs in Tweet in G9:
[32] bcbs,fep [32] fep,dental [20] three,free [20] free,cleanings [20] cleanings,year [15] retired,uniformed [15] uniformed,service [15] service,members [12] members,families [11] bcbsfepdental,bcbs Top Word Pairs in Tweet in G10:
[28] bcbs,fep [27] fep,vision [10] vision,helps [9] generous,frame [9] frame,allowance [9] allowance,nationwide [9] nationwide,network [9] network,including [9] including,visionworks [9] visionworks,lenscrafters Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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