The graph represents a network of 6,545 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 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 12:52 UTC.
The tweets in the network were tweeted over the 1861-day, 5-hour, 31-minute period from Saturday, 13 January 2018 at 19:29 UTC to Saturday, 18 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 : 6545
Unique Edges : 3294
Edges With Duplicates : 10200
Total Edges : 13494
Number of Edge Types : 9
Tweet : 845
Retweet : 3902
MentionsInRetweet : 4968
Replies to : 997
MentionsInReplyTo : 1946
Mentions : 525
Quote : 119
MentionsInQuote : 150
MentionsInQuoteReply : 42
Self-Loops : 1168
Reciprocated Vertex Pair Ratio : 0.0247524752475248
Reciprocated Edge Ratio : 0.0483091787439614
Connected Components : 1097
Single-Vertex Connected Components : 297
Maximum Vertices in a Connected Component : 3098
Maximum Edges in a Connected Component : 7527
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 9.230198
Graph Density : 0.000169155237111515
Modularity : 0.546383
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,545 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 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 12:52 UTC.
The tweets in the network were tweeted over the 1861-day, 5-hour, 31-minute period from Saturday, 13 January 2018 at 19:29 UTC to Saturday, 18 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:
[2937] public,health [342] health,care [338] mental,health [329] covid,19 [314] health,officials [288] toxic,chemicals [276] filled,toxic [272] nothing,see [272] clean,ohio [272] see,creek Top Word Pairs in Tweet in G1:
[225] public,health [141] covid,19 [136] community,transmission [130] federal,public [130] health,emergencies [129] cdc,calculate [129] calculate,covid [129] transmission,federal [129] 19,community [129] luckytran,cdc Top Word Pairs in Tweet in G2:
[210] public,health [25] mental,health [23] health,care [16] health,emergency [11] health,crisis [11] county,public [11] covid,19 [8] health,covid [7] scientist,seeks [7] america's,public Top Word Pairs in Tweet in G3:
[278] public,health [272] health,officials [271] nothing,see [271] toxic,chemicals [271] chemicals,public [271] creek,filled [271] filled,toxic [271] see,creek [271] officials,clean [271] clean,ohio Top Word Pairs in Tweet in G4:
[128] public,health [116] long,covid [47] policy,way [47] number,long [47] covid,cases [47] rip,policy [47] avoiding,long [47] way,avoiding [47] covid,don [47] cases,rip Top Word Pairs in Tweet in G5:
[260] public,health [242] health,guidelines [221] jennifersey,levistraussco [216] criticized,public [216] reason,pushed [216] job,criticized [216] guidelines,vaxx [216] pushed,job [216] claim,reason [216] levistraussco,claim Top Word Pairs in Tweet in G6:
[74] public,health [61] covid,19 [59] mrna,covid [57] big,pharma [57] 19,vaccines [56] vaccines,florida [56] florida,remains [56] continue,blindly [56] remains,dedicated [56] administration,big Top Word Pairs in Tweet in G7:
[84] senator,johnfetterman [78] depression,takes [78] takes,courage [78] heart,goes [78] millions,people [78] family,millions [78] suffer,depression [78] people,suffer [78] johnfetterman,family [78] goes,senator Top Word Pairs in Tweet in G8:
[106] used,party [106] mental,physical [106] steal,seat [106] seat,mental [106] john,fetterman [106] bad,john [106] fetterman,used [106] party,steal [106] physical,health [106] very,bad Top Word Pairs in Tweet in G9:
[67] few,truth [67] retweet,ucsf [67] read,retweet [67] ucsf,professor [67] one,few [67] tellers,ucsf [67] truth,tellers [67] professor,one [66] stkirsch,read [50] public,health Top Word Pairs in Tweet in G10:
[96] mental,health [95] look,stats [95] crisis,look [95] stats,depression [95] digest,fetterman [95] fetterman,news [95] depression,young [95] news,mental [95] health,crisis [95] young,people Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: