The graph represents a network of 2,411 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 14:51 UTC.
The tweets in the network were tweeted over the 1110-day, 4-hour, 54-minute period from Monday, 20 January 2020 at 15:06 UTC to Friday, 03 February 2023 at 20:00 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 : 2411
Unique Edges : 1408
Edges With Duplicates : 5788
Total Edges : 7196
Number of Edge Types : 8
Tweet : 3045
Retweet : 1383
MentionsInRetweet : 1758
Quote : 92
Mentions : 764
MentionsInQuote : 40
Replies to : 53
MentionsInReplyTo : 61
Self-Loops : 3220
Reciprocated Vertex Pair Ratio : 0.0493492407809111
Reciprocated Edge Ratio : 0.0940568475452196
Connected Components : 953
Single-Vertex Connected Components : 697
Maximum Vertices in a Connected Component : 762
Maximum Edges in a Connected Component : 2782
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 7.749113
Graph Density : 0.000333017239450582
Modularity : 0.320269
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,411 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 14:51 UTC.
The tweets in the network were tweeted over the 1110-day, 4-hour, 54-minute period from Monday, 20 January 2020 at 15:06 UTC to Friday, 03 February 2023 at 20:00 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:
[1173] open,enrollment [912] health,insurance [287] learn,more [262] #openenrollment,period [236] #openenrollment,2023 [227] 2023,coverage [217] online,phone [213] #medicare,#openenrollment [211] annual,#openenrollment [209] aoi,office Top Word Pairs in Tweet in G1:
[506] open,enrollment [398] health,insurance [211] #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:
[80] #medicare,#openenrollment [63] ncoaging,#medicare [62] change,plans [61] plans,time [60] compare,change [60] private,insurers [60] time,private [60] #openenrollment,compare [58] insurers,inten [44] open,enrollment Top Word Pairs in Tweet in G3:
[28] health,care [24] open,enrollment [22] health,insurance [22] january,15 [16] #openenrollment,ends [15] familiesusa,#openenrollment [14] #openenrollment,begins [13] january,1st [13] during,#openenrollment [12] #healthcoverage,begins Top Word Pairs in Tweet in G4:
[60] open,enrollment [16] improve,#openenrollment [15] value,#benefits [13] employees,understand [13] learn,improve [12] #benefits,employees [12] understand,learn [10] enrollment,season [10] during,#openenrollment [10] #openenrollment,education Top Word Pairs in Tweet in G5:
[45] begins,today [43] health,insurance [40] aca,marketplace [34] #openenrollment,#affordablecareact [33] reduction,act [33] inflation,reduction [33] health,plans [32] today,inflation [32] care,act [32] plans,begins Top Word Pairs in Tweet in G6:
[37] open,enrollment [29] health,insurance [13] nvhealthlink,#openenrollment [13] coveredca,ends [10] #openenrollment,coveredca [9] #healthinsurance,plan [9] #medi,cal [9] begins,today [9] during,#openenrollment [9] community,#health Top Word Pairs in Tweet in G7:
[42] health,insurance [27] days,left [25] enroll,health [23] open,enrollment [22] coverage,visit [22] need,change [22] call,877 [22] change,plan [22] sign,coverage [22] plan,sign Top Word Pairs in Tweet in G8:
[31] sick,days [30] days,employer [30] paycheck,many [30] long,go [30] suppose,go [30] go,without [30] many,sick [30] go,over [30] over,month [30] without,paycheck Top Word Pairs in Tweet in G9:
[118] #openenrollment,period [107] period,2023 [103] nyc,#openenrollment [97] 2023,#healthinsurance [97] #healthinsurance,coverage [96] help,covered [70] covered,enrolling [62] coverage,underway [58] health,insurance [52] learn,more Top Word Pairs in Tweet in G10:
[30] open,enrollment [24] enrollment,october [24] easy,providing [24] benefits,counseling [24] october,15 [24] providing,benefits [24] make,easy [24] medicare,open [24] 15,december [24] december,make Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: