The graph represents a network of 1,476 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 Saturday, 20 November 2021 at 13:43 UTC.
The requested start date was Saturday, 20 November 2021 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, 2-minute period from Saturday, 06 November 2021 at 01:53 UTC to Saturday, 20 November 2021 at 00:55 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 : 1476
Unique Edges : 1096
Edges With Duplicates : 830
Total Edges : 1926
Number of Edge Types : 5
Replies to : 323
Mentions : 582
MentionsInRetweet : 442
Retweet : 342
Tweet : 237
Self-Loops : 239
Reciprocated Vertex Pair Ratio : 0.0174464710547185
Reciprocated Edge Ratio : 0.034294621979735
Connected Components : 394
Single-Vertex Connected Components : 138
Maximum Vertices in a Connected Component : 169
Maximum Edges in a Connected Component : 337
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.115464
Graph Density : 0.000589316062652152
Modularity : 0.684446
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,476 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 Saturday, 20 November 2021 at 13:43 UTC.
The requested start date was Saturday, 20 November 2021 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, 2-minute period from Saturday, 06 November 2021 at 01:53 UTC to Saturday, 20 November 2021 at 00:55 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:
[129] needs,prior [129] prior,authorization [95] look,drug [95] drug,needs [95] authorization,bcbs [95] bcbs,thank [95] thank,raising [95] raising,hand [95] hand,clearly [95] clearly,identify Top Word Pairs in Tweet in G1:
[8] anthem,bcbs [6] health,insurance [5] blue,cross [4] 2022,eligible [4] eligible,members [4] members,medicare [4] medicare,advantage [4] advantage,plans [4] plans,anthem [4] bcbs,kroger Top Word Pairs in Tweet in G2:
[91] look,drug [91] drug,needs [91] needs,prior [91] prior,authorization [91] authorization,bcbs [91] bcbs,thank [91] thank,raising [91] raising,hand [91] hand,clearly [91] clearly,identify Top Word Pairs in Tweet in G3:
[3] vendingcomics,bob69hesperia [3] bob69hesperia,bilked2thebrink [3] bilked2thebrink,followingforfu2 [3] followingforfu2,newhickschick [3] newhickschick,secondchances09 [2] adamgentry2021,vendingcomics [2] howardwill5,deeenst [2] deeenst,nashkitty66 [2] nashkitty66,stephendoheney [2] stephendoheney,headdock Top Word Pairs in Tweet in G4:
[5] next,gooseisland [5] gooseisland,2020 [5] 2020,#bcbs [5] #bcbs,earl [5] earl,grey [5] grey,tea [5] tea,variation [5] variation,oddly [5] oddly,sweet [5] sweet,14 Top Word Pairs in Tweet in G6:
[4] severencemacla1,deloreanai [4] sambanovaai,teradata [4] teradata,nttdataservices [4] nttdataservices,bcbs_companies [3] deloreanai,pleased [3] pleased,announce [3] announce,time [3] time,healthcare [3] healthcare,#ai [3] #ai,predicts Top Word Pairs in Tweet in G7:
[37] needs,prior [37] prior,authorization [34] blue,cross [34] cross,blue [34] blue,shield [34] shield,ivermectin [34] ivermectin,list [34] list,needs [34] authorization,12 [34] 12,700 Top Word Pairs in Tweet in G8:
[12] elderly,seriously [12] seriously,ill [11] tim,vines [11] elected,chair [11] board,directors [10] health,care [10] bcbsofalabama,ceo [10] ceo,tim [10] vines,elected [8] 51m,elderly Top Word Pairs in Tweet in G9:
[55] bcbs,fep [32] fep,dental [19] fep,vision [13] askblue,bcbs [13] plan,finder [12] three,free [12] free,cleanings [12] cleanings,year [11] one,plans [11] plans,based Top Word Pairs in Tweet in G10:
[2] bcbs,plan [2] humana,opted [2] opted,slightly [2] slightly,relax [2] relax,existing [2] existing,mandate [2] mandate,bcbs [2] bcbs,payer [2] payer,implemented [2] implemented,one 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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