The graph represents a network of 6,602 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 12:52 UTC.
The tweets in the network were tweeted over the 1092-day, 5-hour, 47-minute period from Friday, 07 February 2020 at 19:12 UTC to Saturday, 04 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 : 6602
Unique Edges : 3768
Edges With Duplicates : 10235
Total Edges : 14003
Number of Edge Types : 9
Retweet : 3571
MentionsInRetweet : 4809
Tweet : 1000
MentionsInQuote : 136
Quote : 181
Replies to : 1260
MentionsInReplyTo : 2322
Mentions : 696
MentionsInQuoteReply : 28
Self-Loops : 1457
Reciprocated Vertex Pair Ratio : 0.0291828793774319
Reciprocated Edge Ratio : 0.056710775047259
Connected Components : 1221
Single-Vertex Connected Components : 379
Maximum Vertices in a Connected Component : 2907
Maximum Edges in a Connected Component : 7348
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.555647
Graph Density : 0.00016994111171042
Modularity : 0.538937
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,602 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 12:52 UTC.
The tweets in the network were tweeted over the 1092-day, 5-hour, 47-minute period from Friday, 07 February 2020 at 19:12 UTC to Saturday, 04 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:
[3285] public,health [460] leadership,public [458] time,generation [458] health,time [457] generation,leadership [457] time,better [457] appreciation,scientific [457] better,appreciation [456] drjbhattacharya,time [337] health,emergency Top Word Pairs in Tweet in G1:
[588] public,health [439] health,time [439] time,generation [438] time,better [438] better,appreciation [438] appreciation,scientific [438] leadership,public [438] generation,leadership [437] drjbhattacharya,time [26] during,pandemic Top Word Pairs in Tweet in G2:
[218] public,health [35] health,emergency [25] disrupted,public [25] infrastructure,disrupted [23] urgent,humanitarian [21] health,care [19] war,destroyed [19] rates,covid [19] normalized,extremely [19] high,rates Top Word Pairs in Tweet in G3:
[301] public,health [44] health,emergency [42] covid,19 [27] health,care [18] mental,health [11] biden,administration [11] health,crisis [11] 19,public [11] end,covid [11] public,schools Top Word Pairs in Tweet in G4:
[245] toronto,last [245] state,homelessness [245] night,29 [245] nowhere,go [245] last,night [245] go,state [245] 29,weather [245] weather,taken [245] people,nowhere [245] chrisyphoto,people Top Word Pairs in Tweet in G5:
[70] public,health [26] health,care [10] support,better [9] fact,sylviajonesmpp [9] staffing,questions [9] public,hospitals [9] won,address [9] hospitals,twice [9] sylviajonesmpp,won [9] twice,tells Top Word Pairs in Tweet in G6:
[40] leave,canada [40] messaging,here's [40] pension,plan [40] people,asking [40] here's,leave [40] positive,ndp [40] ndp,messaging [40] canada,pension [40] asking,positive [40] plan,alone Top Word Pairs in Tweet in G7:
[59] public,health [53] health,department [53] mandate,12 [53] longer,pursuing [53] department,state [53] breaking,california [53] vaccine,mandate [53] state,longer [53] california,public [53] coronavirus,vaccine Top Word Pairs in Tweet in G8:
[58] public,health [32] covid,related [32] over,covid [32] arguments,independent [32] keep,over [32] ongoing,arguments [32] many,keep [32] related,ongoing [32] independent,event [32] understand,many Top Word Pairs in Tweet in G9:
[37] public,health [14] albomp,australianlabor [13] jechalmers,albomp [13] anti,virals [12] health,policy [12] virals,reduce [12] infected,take [12] future,according [12] keep,getting [12] getting,infected Top Word Pairs in Tweet in G10:
[55] public,health [42] stop,safe [42] use,stop [42] drug,use [27] health,emergency [21] safe,drug [21] health,insurance [21] stop,drug [21] abortions,stop [21] stop,abortions Top Replied-To in Entire Graph:
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Top Replied-To in G5:
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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:
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Top Tweeters in Entire Graph:
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Top Tweeters in G9:
Top Tweeters in G10: