The graph represents a network of 6,311 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 12:51 UTC.
The tweets in the network were tweeted over the 2228-day, 19-hour, 39-minute period from Wednesday, 04 January 2017 at 05:21 UTC to Saturday, 11 February 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 : 6311
Unique Edges : 2905
Edges With Duplicates : 10206
Total Edges : 13111
Number of Edge Types : 9
Retweet : 4038
MentionsInRetweet : 5007
Tweet : 671
Replies to : 915
MentionsInReplyTo : 1794
Quote : 113
Mentions : 477
MentionsInQuote : 75
MentionsInQuoteReply : 21
Self-Loops : 984
Reciprocated Vertex Pair Ratio : 0.0216979758264162
Reciprocated Edge Ratio : 0.0424743443557583
Connected Components : 893
Single-Vertex Connected Components : 235
Maximum Vertices in a Connected Component : 3368
Maximum Edges in a Connected Component : 7924
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 10.093858
Graph Density : 0.000176182204944402
Modularity : 0.539004
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,311 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 12:51 UTC.
The tweets in the network were tweeted over the 2228-day, 19-hour, 39-minute period from Wednesday, 04 January 2017 at 05:21 UTC to Saturday, 11 February 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:
[2606] public,health [660] public,safety [542] health,agency [499] community,masking [495] point,public [494] agency,local [494] national,international [494] international,asserts [494] local,national [494] asserts,community Top Word Pairs in Tweet in G1:
[510] public,health [471] community,masking [466] local,national [466] international,asserts [466] agency,local [466] point,public [466] asserts,community [466] national,international [466] health,agency [465] drjbhattacharya,point Top Word Pairs in Tweet in G2:
[620] public,safety [310] safety,begins [310] community,until [310] safety,begin [310] begin,policing [310] until,investing [310] begins,investments [310] investments,community [310] policing,public [309] repsummerlee,public Top Word Pairs in Tweet in G3:
[239] covid,oil [239] healthcare,public [239] without,consumption [239] worthless,society [239] society,without [239] oil,worthless [239] consumption,healthcare [239] learned,covid [238] mhdksafa,learned [6] public,health Top Word Pairs in Tweet in G4:
[170] public,health [27] covid,19 [18] health,emergency [10] health,care [8] mental,health [7] health,officials [6] medicine,public [6] 19,public [6] health,public [5] registered,nurse Top Word Pairs in Tweet in G5:
[181] public,health [159] declining,share [159] premier,danielle [159] health,information [159] premier,moe [159] moe,scott [159] share,public [159] scott,premier [159] both,premier [159] #breaking,both Top Word Pairs in Tweet in G6:
[157] medication,abortion [156] leading,group [156] office,leading [156] abortion,country [156] 22,ags [156] ags,defend [156] defend,protect [156] access,medication [156] group,22 [156] protect,access Top Word Pairs in Tweet in G7:
[97] public,health [36] once,exemplary [36] action,final [36] exemplary,public [36] cynicism,corruption [36] proof,cynicism [36] capture,once [36] final,proof [36] reckless,action [36] corruption,capture Top Word Pairs in Tweet in G8:
[143] public,health [112] trust,public [110] restore,trust [108] let's,add [108] vx,serious [108] cdc,need [108] effects,stop [108] need,restore [108] add,vx [108] health,cdc Top Word Pairs in Tweet in G9:
[119] pima,county [119] belief,racism [119] county,woman [119] katiehobbs,nominated [119] covid,tyrant [119] testified,belief [119] woman,testified [119] tyrant,pima [119] nominated,covid [119] racism,public Top Word Pairs in Tweet in G10:
[88] truths,science [88] published,reports [88] 19,truths [88] case,vignettes [88] covid,19 [88] understand,australia [88] australia,case [88] reports,health [88] science,public [88] vignettes,published Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: