The graph represents a network of 6,098 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 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 12:51 UTC.
The tweets in the network were tweeted over the 811-day, 11-hour, 35-minute period from Saturday, 24 October 2020 at 13:24 UTC to Saturday, 14 January 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 : 6098
Unique Edges : 3057
Edges With Duplicates : 10519
Total Edges : 13576
Number of Edge Types : 9
Retweet : 3997
MentionsInRetweet : 5087
Replies to : 1039
MentionsInReplyTo : 2110
Quote : 125
Tweet : 692
Mentions : 416
MentionsInQuote : 83
MentionsInQuoteReply : 27
Self-Loops : 998
Reciprocated Vertex Pair Ratio : 0.0223132325942663
Reciprocated Edge Ratio : 0.0436524381820693
Connected Components : 852
Single-Vertex Connected Components : 210
Maximum Vertices in a Connected Component : 3517
Maximum Edges in a Connected Component : 8998
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.91273
Graph Density : 0.000194704039370507
Modularity : 0.529672
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,098 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 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 12:51 UTC.
The tweets in the network were tweeted over the 811-day, 11-hour, 35-minute period from Saturday, 24 October 2020 at 13:24 UTC to Saturday, 14 January 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:
[2047] public,health [688] ve,warned [688] associated,experimental [688] dangers,associated [688] know,truth [688] truth,ve [688] public,potential [688] potential,dangers [688] ve,know [688] warned,public Top Word Pairs in Tweet in G1:
[660] warned,public [660] potential,dangers [660] know,truth [660] public,potential [660] ve,warned [660] truth,ve [660] associated,experimental [660] ve,know [660] dangers,associated [659] experimental,biolog Top Word Pairs in Tweet in G2:
[164] public,system [123] health,care [121] public,healthcare [85] ford,government [82] starved,public [79] peddle,myth [79] privatization,save [79] funds,resources [79] myth,privatization [79] system,funds Top Word Pairs in Tweet in G3:
[164] public,health [54] frozen,dr [48] make,tremendous [48] tremendous,difference [45] bonnie,henry [44] dr,henry [44] dr,bonnie [44] going,make [43] masks,going [43] henry,2023 Top Word Pairs in Tweet in G4:
[146] public,health [21] covid,19 [13] mental,health [11] health,emergency [8] health,care [6] health,crisis [6] helpline,800 [6] department,public [6] 800,273 [6] county,public Top Word Pairs in Tweet in G5:
[169] bill,gates [147] public,health [139] influence,control [139] vaccines,nothing [139] gates,influence [139] indictments,bill [139] control,over [139] nothing,public [139] over,vaccines [139] fraud,indictments Top Word Pairs in Tweet in G6:
[109] covid,19 [103] blood,clots [102] heart,damage [102] clots,cardiology [102] indicates,cause [102] mandated,covid [102] straightline,teams [102] 19,vaccines [102] teams,mandated [102] cause,heart Top Word Pairs in Tweet in G7:
[85] stories,probably [85] nothing,worry [85] mean,stories [85] right,normal [85] worry,right [85] #diedsuddenlynews,trending [85] trending,mean [85] probably,nothing [84] normal,ri [84] akheriaty,#diedsuddenlynews Top Word Pairs in Tweet in G8:
[70] mandates,tyranny [70] years,mandates [70] annihilation,fuckers [70] economic,annihilation [70] destruction,economic [70] oppression,childhood [70] childhood,destruction [70] tyranny,oppression [69] rising_serpent,years [62] public,health Top Word Pairs in Tweet in G9:
[57] public,health [14] ofcom,reference [14] bbcnews,cas [14] reference,01554581 [14] raised,ofcom [14] cas,7391103 [14] l7p3r1,raised [14] 7391103,l7p3r1 [14] complained,bbcnews [14] 01554581,serious Top Word Pairs in Tweet in G10:
[48] sorry,belaboring [48] c19,requirements [48] ongoing,c19 [48] ignorance,sorry [48] forgive,ignorance [48] exactly,purpose [48] purpose,ongoing [48] point,exactly [48] belaboring,point [47] lionadvocacy,forgive Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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 Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: