The graph represents a network of 2,371 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 13:49 UTC.
The tweets in the network were tweeted over the 1152-day, 8-hour, 17-minute period from Monday, 20 January 2020 at 15:06 UTC to Friday, 17 March 2023 at 23:23 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 : 2371
Unique Edges : 1391
Edges With Duplicates : 5796
Total Edges : 7187
Number of Edge Types : 8
Retweet : 1354
MentionsInRetweet : 1747
Mentions : 794
Quote : 93
Tweet : 3041
MentionsInQuote : 42
MentionsInReplyTo : 61
Replies to : 55
Self-Loops : 3219
Reciprocated Vertex Pair Ratio : 0.0532030401737242
Reciprocated Edge Ratio : 0.101030927835052
Connected Components : 927
Single-Vertex Connected Components : 666
Maximum Vertices in a Connected Component : 727
Maximum Edges in a Connected Component : 2605
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 7.461989
Graph Density : 0.000345240573953556
Modularity : 0.318378
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,371 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 13:49 UTC.
The tweets in the network were tweeted over the 1152-day, 8-hour, 17-minute period from Monday, 20 January 2020 at 15:06 UTC to Friday, 17 March 2023 at 23:23 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:
[1112] open,enrollment [903] health,insurance [275] learn,more [256] #openenrollment,period [230] #openenrollment,2023 [223] 2023,coverage [217] online,phone [212] enroll,online [209] aoi,office [209] habla,español Top Word Pairs in Tweet in G1:
[481] open,enrollment [409] health,insurance [209] aoi,office [209] #openenrollment,2023 [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:
[71] #medicare,#openenrollment [61] ncoaging,#medicare [61] plans,time [60] #openenrollment,compare [60] compare,change [60] change,plans [60] private,insurers [60] time,private [58] insurers,inten [41] open,enrollment Top Word Pairs in Tweet in G3:
[26] health,care [22] january,15 [21] open,enrollment [19] health,insurance [15] familiesusa,#openenrollment [14] #openenrollment,ends [14] #openenrollment,begins [13] january,1st [12] #healthcoverage,begins [12] health,coverage Top Word Pairs in Tweet in G4:
[45] health,insurance [44] begins,today [37] aca,marketplace [32] reduction,act [32] inflation,reduction [32] health,plans [31] today,inflation [31] care,act [31] plans,begins [31] #openenrollment,period Top Word Pairs in Tweet in G5:
[45] open,enrollment [14] improve,#openenrollment [13] employees,understand [12] #benefits,employees [12] understand,learn [12] value,#benefits [12] learn,improve [10] during,#openenrollment [10] #openenrollment,#employeebenefits [9] #openenrollment,education Top Word Pairs in Tweet in G6:
[37] open,enrollment [31] health,insurance [13] coveredca,ends [11] nvhealthlink,#openenrollment [10] #openenrollment,coveredca [9] #medi,cal [9] begins,today [9] community,#health [8] californians,enrolled [8] ends,31 Top Word Pairs in Tweet in G7:
[41] health,insurance [27] days,left [25] enroll,health [22] plan,sign [22] need,change [22] change,plan [22] sign,coverage [22] coverage,visit [22] call,877 [21] open,enrollment Top Word Pairs in Tweet in G8:
[119] #openenrollment,period [107] period,2023 [103] nyc,#openenrollment [97] #healthinsurance,coverage [97] 2023,#healthinsurance [96] help,covered [70] covered,enrolling [62] coverage,underway [61] health,insurance [53] 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:
[13] open,enrollment [9] mundo,fundamental [9] salud,importante [9] importante,mundo [9] #latinas,elegibles [9] fundamental,#latinos [9] #latinos,#latinas [8] laredhispana,salud [8] elegibles,apliqu [6] health,insurance Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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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:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: