The graph represents a network of 6,641 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 11:52 UTC.
The tweets in the network were tweeted over the 3081-day, 15-hour, 17-minute period from Thursday, 09 October 2014 at 08:43 UTC to Saturday, 18 March 2023 at 00:00 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 : 6641
Unique Edges : 3807
Edges With Duplicates : 10116
Total Edges : 13923
Number of Edge Types : 9
Retweet : 3794
MentionsInRetweet : 4985
Mentions : 581
Tweet : 845
Replies to : 1057
MentionsInReplyTo : 2308
MentionsInQuoteReply : 76
Quote : 138
MentionsInQuote : 139
Self-Loops : 1252
Reciprocated Vertex Pair Ratio : 0.0244974038077486
Reciprocated Edge Ratio : 0.0478232618583496
Connected Components : 1072
Single-Vertex Connected Components : 294
Maximum Vertices in a Connected Component : 3297
Maximum Edges in a Connected Component : 8187
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.939065
Graph Density : 0.000174504674321439
Modularity : 0.559822
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,641 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 11:52 UTC.
The tweets in the network were tweeted over the 3081-day, 15-hour, 17-minute period from Thursday, 09 October 2014 at 08:43 UTC to Saturday, 18 March 2023 at 00:00 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:
[2861] public,health [341] gain,function [339] function,research [334] fauci,collins [333] brazenly,untruthful [333] 2014,public [333] denials,fauci [333] public,records [333] collins,supporting [333] supporting,gain Top Word Pairs in Tweet in G1:
[318] gain,function [318] function,research [313] 2014,public [313] public,records [312] untruthful,2014 [312] called,brazenly [312] fauci,collins [312] supporting,gain [312] collins,supporting [312] research,called Top Word Pairs in Tweet in G2:
[249] biden,administration [249] forever,chemicals [249] chemicals,biden [249] administration,epa [249] victory,fight [249] toxic,forever [249] huge,victory [249] restrict,toxic [249] fight,restrict [248] markruffalo,huge Top Word Pairs in Tweet in G3:
[274] public,health [132] human,history [132] modern,human [132] first,time [132] time,modern [132] warning,preventing [132] goal,public [132] health,changed [132] changed,warning [132] history,goal Top Word Pairs in Tweet in G4:
[224] public,health [31] covid,19 [21] health,emergency [18] mental,health [14] health,care [13] hey,team [13] assignment,help [13] supply,chain [13] service,supply [13] writing,service Top Word Pairs in Tweet in G5:
[188] public,health [150] blm,protests [150] called,public [150] join,blm [150] health,experts [150] gatherings,join [150] remember,called [150] experts,ok [150] mass,gatherings [150] ok,mass Top Word Pairs in Tweet in G6:
[92] public,health [88] 000,epidemiologists [88] health,bureaucrats [87] letter,saying [87] bureaucrats,mentally [87] mentally,sick [87] sick,000 [87] moment,knew [87] knew,public [87] write,letter Top Word Pairs in Tweet in G7:
[120] public,health [36] drjbhattacharya,kerpen [36] health,establishment [32] behalf,public [31] kerpen,wish [31] forgiveness,behalf [31] beg,forgiveness [31] wish,beg [30] establishment,anyth [28] health,figure Top Word Pairs in Tweet in G8:
[93] public,health [56] lauramiers,public [55] exactly,consented [55] consented,global [55] manufactured,folks [55] public,consent [55] folks,soon [55] discover,exactly [55] consent,manufactured [55] global,public Top Word Pairs in Tweet in G9:
[65] public,health [16] health,emergency [11] healthy,cities [11] cities,summit [11] partnership,healthy [11] health,care [10] need,stand [10] rights,join [10] join,#statusforall [10] migrant,rights Top Word Pairs in Tweet in G10:
[40] public,health [23] budget,fiscal [23] year,nurses [23] ford,releases [23] government,invest [23] need,government [23] 23,doug [23] nurses,need [23] invest,public [23] releases,budget Top Replied-To in Entire Graph:
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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: