The graph represents a network of 2,391 Twitter users whose recent tweets contained "#OpenEnrollment ", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 14:52 UTC.
The tweets in the network were tweeted over the 1124-day, 6-hour, 49-minute period from Monday, 20 January 2020 at 15:06 UTC to Friday, 17 February 2023 at 21:56 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 2391
Unique Edges : 1405
Edges With Duplicates : 5783
Total Edges : 7188
Number of Edge Types : 8
Retweet : 1370
MentionsInRetweet : 1749
Tweet : 3051
Mentions : 772
Quote : 89
MentionsInQuote : 42
MentionsInReplyTo : 61
Replies to : 54
Self-Loops : 3228
Reciprocated Vertex Pair Ratio : 0.0512540894220284
Reciprocated Edge Ratio : 0.0975103734439834
Connected Components : 946
Single-Vertex Connected Components : 685
Maximum Vertices in a Connected Component : 730
Maximum Edges in a Connected Component : 2671
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 7.307916
Graph Density : 0.000337387938381203
Modularity : 0.318656
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,391 Twitter users whose recent tweets contained "#OpenEnrollment ", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 14:52 UTC.
The tweets in the network were tweeted over the 1124-day, 6-hour, 49-minute period from Monday, 20 January 2020 at 15:06 UTC to Friday, 17 February 2023 at 21:56 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : #OpenEnrollment
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:
[1135] open,enrollment [920] health,insurance [283] learn,more [263] #openenrollment,period [235] #openenrollment,2023 [226] 2023,coverage [217] online,phone [211] annual,#openenrollment [211] enroll,online [209] aoi,office Top Word Pairs in Tweet in G1:
[478] open,enrollment [398] health,insurance [210] #openenrollment,2023 [209] aoi,office [209] habla,español [209] online,phone [209] 895,3570 [209] phone,aoi [209] 3570,habla [209] 888,895 Top Word Pairs in Tweet in G2:
[73] #medicare,#openenrollment [61] plans,time [61] ncoaging,#medicare [60] compare,change [60] private,insurers [60] change,plans [60] time,private [60] #openenrollment,compare [58] insurers,inten [42] open,enrollment Top Word Pairs in Tweet in G3:
[28] health,care [23] open,enrollment [22] january,15 [22] health,insurance [16] #openenrollment,ends [15] familiesusa,#openenrollment [14] #openenrollment,begins [13] january,1st [13] during,#openenrollment [12] 15,2023 Top Word Pairs in Tweet in G4:
[58] open,enrollment [15] value,#benefits [15] improve,#openenrollment [13] employees,understand [12] #benefits,employees [12] understand,learn [12] learn,improve [11] during,#openenrollment [10] #openenrollment,#employeebenefits [10] enrollment,season Top Word Pairs in Tweet in G5:
[45] begins,today [45] health,insurance [37] aca,marketplace [33] reduction,act [33] inflation,reduction [33] health,plans [32] today,inflation [32] care,act [32] plans,begins [32] #openenrollment,period Top Word Pairs in Tweet in G6:
[37] open,enrollment [31] health,insurance [13] nvhealthlink,#openenrollment [13] coveredca,ends [10] #openenrollment,coveredca [9] #medi,cal [9] #healthinsurance,plan [9] begins,today [9] community,#health [8] ends,31 Top Word Pairs in Tweet in G7:
[41] health,insurance [27] days,left [25] enroll,health [22] sign,coverage [22] plan,sign [22] call,877 [22] need,change [22] change,plan [22] coverage,visit [21] open,enrollment Top Word Pairs in Tweet in G8:
[118] #openenrollment,period [107] period,2023 [103] nyc,#openenrollment [97] #healthinsurance,coverage [97] 2023,#healthinsurance [96] help,covered [70] covered,enrolling [62] coverage,underway [58] health,insurance [52] learn,more Top Word Pairs in Tweet in G9:
[32] sick,days [31] many,sick [31] provide,suppose [31] without,paycheck [31] go,without [31] long,go [31] suppose,go [31] employer,provide [31] paycheck,many [31] over,month Top Word Pairs in Tweet in G10:
[14] open,enrollment [12] gt,gt [9] public,school [8] #arleg,#ared [8] #arpx,#arleg [8] school,choice [7] over,5800 [7] fiftycan,over [7] townhall,dyrnwyn [7] check,recording Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: