The graph represents a network of 1,979 Twitter users whose recent tweets contained "nonprofit insurance", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 8/14/2023 12:00:00 AM. The network was obtained from Twitter on Monday, 14 August 2023 at 15:15 UTC.
The tweets in the network were tweeted over the 379-day, 17-hour, 5-minute period from Saturday, 30 July 2022 at 15:10 UTC to Monday, 14 August 2023 at 08:15 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 : 1979
Unique Edges : 1210
Edges With Duplicates : 1287
Total Edges : 2497
Number of Edge Types : 7
Tweet : 939
Replies to : 465
MentionsInReplyTo : 793
Quote : 59
Mentions : 199
MentionsInQuote : 40
MentionsInQuoteReply : 2
Self-Loops : 1033
Reciprocated Vertex Pair Ratio : 0.00294406280667321
Reciprocated Edge Ratio : 0.00587084148727984
Connected Components : 974
Single-Vertex Connected Components : 591
Maximum Vertices in a Connected Component : 70
Maximum Edges in a Connected Component : 107
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.065131
Graph Density : 0.000261083132241417
Modularity : 0.527505
NodeXL Version : 1.0.1.519
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=292227
Data Import : The graph represents a network of 1,979 Twitter users whose recent tweets contained "nonprofit insurance", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 8/14/2023 12:00:00 AM. The network was obtained from Twitter on Monday, 14 August 2023 at 15:15 UTC.
The tweets in the network were tweeted over the 379-day, 17-hour, 5-minute period from Saturday, 30 July 2022 at 15:10 UTC to Monday, 14 August 2023 at 08:15 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 : TwitterSearch3
Graph Term : nonprofit insurance
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:
[281] life,insurance [276] health,insurance [158] learn,more [129] insurance,companies [126] nonprofit,health [102] nonprofit,organization [91] nonprofit,help [89] insurance,cost [86] constituents,apply [86] cost,learn Top Word Pairs in Tweet in G1:
[275] life,insurance [142] learn,more [140] health,insurance [89] nonprofit,organization [88] nonprofit,help [88] insurance,cost [86] employees,constituents [86] constituents,apply [86] 000,life [86] cost,learn Top Word Pairs in Tweet in G2:
[36] health,insurance [23] nonprofit,health [21] universal,nonprofit [5] wilfiacco,ferrazzanojay [5] health,care [3] need,universal [3] implement,universal [3] implementing,universal [2] insurance,negotiate [2] public,private Top Word Pairs in Tweet in G3:
[3] insurance,companies [3] health,insurance [3] nonprofit,insurance [2] dances,around [2] german,system [2] companies,bismarckcare [2] system,multiple [2] national,nonprofit [2] something,german [2] nonprofit,health Top Word Pairs in Tweet in G4:
[11] untaxed,nonprofit [11] purchased,insurance [10] healthcare,purchased [9] economy,cms [9] hospitals,untaxed [9] insurance,economy [7] 92,101 [5] virginia,hospitals [5] 101,virginia [4] nonprofit,hospitals Top Word Pairs in Tweet in G6:
[5] health,insurance [2] cigna,nonprofit [2] clarissaward,cigna [2] insurance,plan [2] private,insurance [2] nonprofit,health Top Word Pairs in Tweet in G8:
[9] mandate,fees [9] highest,insurance [9] re,mcca [9] #michiganders,policy [8] financial,ecosystem [7] delay,deny [6] vote,#michiganders [6] rate,#usa [6] peoples,highest [6] 23,delay Top Word Pairs in Tweet in G9:
[5] insurance,companies [2] itsdesserts,zucksegg [2] zucksegg,joebiden [2] nonprofit,insurance [2] hospitals,insurance [2] joebiden,take [2] insurance,company [2] started,nonprofit [2] elonmusk,carnage4life Top Word Pairs in Tweet in G10:
[8] insurance,industry [5] community,grants [4] grants,supported [4] supported,hundreds [4] nonprofit,partners [4] 25,years [4] industry,volunteered [4] hundreds,nonprofits [4] insurance,community [4] nonprofits,contributed 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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