The graph represents a network of 6,411 Twitter users whose recent tweets contained "public health", 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 12:52 UTC.
The tweets in the network were tweeted over the 1082-day, 0-hour, 46-minute period from Tuesday, 17 March 2020 at 00:14 UTC to Saturday, 04 March 2023 at 01:00 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 : 6411
Unique Edges : 3433
Edges With Duplicates : 10351
Total Edges : 13784
Number of Edge Types : 9
Retweet : 4025
MentionsInRetweet : 5326
Replies to : 869
MentionsInReplyTo : 2027
Tweet : 735
MentionsInQuote : 114
Mentions : 500
Quote : 124
MentionsInQuoteReply : 64
Self-Loops : 1056
Reciprocated Vertex Pair Ratio : 0.0188450666307713
Reciprocated Edge Ratio : 0.0369929977539966
Connected Components : 988
Single-Vertex Connected Components : 267
Maximum Vertices in a Connected Component : 2884
Maximum Edges in a Connected Component : 7146
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 6.731442
Graph Density : 0.000184185186780424
Modularity : 0.548553
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,411 Twitter users whose recent tweets contained "public health", 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 12:52 UTC.
The tweets in the network were tweeted over the 1082-day, 0-hour, 46-minute period from Tuesday, 17 March 2020 at 00:14 UTC to Saturday, 04 March 2023 at 01:00 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 : public health
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:
[2611] public,health [592] follow,bill [584] advice,matters [573] matters,public [544] united,states [536] sars,cov [535] killed,millions [535] furthermore,people [535] government,killed [535] accept,government Top Word Pairs in Tweet in G1:
[488] united,states [488] states,accept [488] wiv,furthermore [488] people,united [488] cov,wiv [488] furthermore,people [488] government,killed [488] killed,millions [488] sars,cov [488] accept,government Top Word Pairs in Tweet in G2:
[520] follow,bill [517] wild',follow [517] 'f,cking [517] bill,gates' [517] cking,wild' [517] joerogan,'f [516] public,health [512] advice,matters [509] gates',advice [500] matters,public Top Word Pairs in Tweet in G3:
[161] public,health [36] covid,19 [20] health,care [16] health,emergency [13] department,health [13] public,education [12] 19,public [12] health,services [12] drag,shows [11] considered,extending Top Word Pairs in Tweet in G4:
[173] single,'public [173] intervention,made [173] dr,robert [173] part,gov [173] malone,single [173] 'public,health' [173] made,part [173] gov,wrong [173] health',intervention [173] robert,malone Top Word Pairs in Tweet in G5:
[194] health,care [194] losing,health [194] floridians,losing [194] millions,floridians [193] services,care [193] care,gop [193] chair,health [193] human,services [193] less,laser [193] gop,chair Top Word Pairs in Tweet in G6:
[83] member,parliament [83] calling,each [83] 000,surgery [83] decide,staff [83] parliament,decide [83] each,member [83] 30,000 [83] surgery,calling [83] doctor,visit [83] visit,30 Top Word Pairs in Tweet in G7:
[78] public,health [59] covid,lockdown [58] catastrophically,failed [58] making,revealed [58] fundamental,problems [58] lockdown,decision [58] revealed,fundamental [58] decision,making [58] failed,covid [58] wrong,catastrophically Top Word Pairs in Tweet in G8:
[148] public,health [139] interference,elections [139] talk,china's [139] china's,interference [139] 's,public [139] elections,interference [139] health,monster [139] interference,'s [139] lots,talk [138] savyrecords,lots Top Word Pairs in Tweet in G9:
[86] public,health [24] 000,000 [13] health,committee [13] over,public [13] health,emergency [13] senate,health [12] year,biden [12] tsa,budget [12] emergency,declaration [12] economic,activity Top Word Pairs in Tweet in G10:
[82] percentage,people [82] health,democracy [82] democracy,percentage [82] measure,health [82] best,measure [82] feel,free [82] free,actually [82] people,feel [81] vivekgramaswamy,best [81] actually,thin Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: