The graph represents a network of 7,305 Twitter users whose recent tweets contained "covid mental health", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/12/2023 8:49:34 AM and 1/19/2023 8:49:34 AM. The network was obtained from Twitter on Thursday, 19 January 2023 at 16:56 UTC.
The tweets in the network were tweeted over the 1087-day, 15-hour, 18-minute period from Tuesday, 28 January 2020 at 01:30 UTC to Thursday, 19 January 2023 at 16:48 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 : 7305
Unique Edges : 2068
Edges With Duplicates : 12042
Total Edges : 14110
Number of Edge Types : 9
Retweet : 4978
MentionsInRetweet : 5265
Tweet : 760
Replies to : 941
MentionsInReplyTo : 1683
Quote : 71
Mentions : 373
MentionsInQuote : 25
MentionsInQuoteReply : 14
Self-Loops : 1044
Reciprocated Vertex Pair Ratio : 0.0208540218470705
Reciprocated Edge Ratio : 0.0408560311284047
Connected Components : 993
Single-Vertex Connected Components : 352
Maximum Vertices in a Connected Component : 4350
Maximum Edges in a Connected Component : 9013
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.215079
Graph Density : 0.00013486838899372
Modularity : 0.465627
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 7,305 Twitter users whose recent tweets contained "covid mental health", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/12/2023 8:49:34 AM and 1/19/2023 8:49:34 AM. The network was obtained from Twitter on Thursday, 19 January 2023 at 16:56 UTC.
The tweets in the network were tweeted over the 1087-day, 15-hour, 18-minute period from Tuesday, 28 January 2020 at 01:30 UTC to Thursday, 19 January 2023 at 16:48 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 : covid mental 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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3432] covid,mandates [3429] covid,shutdowns [3428] executive,orders [3428] covid,leadership [3428] orders,covid [3428] mandates,covid [3428] terminated,existing [3428] leadership,covid [3428] existing,executive [3427] sarahhuckabee,terminated Top Word Pairs in Tweet in G1:
[3415] orders,covid [3415] terminated,existing [3415] mandates,covid [3415] executive,orders [3415] covid,leadership [3415] covid,mandates [3415] leadership,covid [3415] existing,executive [3415] covid,shutdowns [3414] sarahhuckabee,terminated Top Word Pairs in Tweet in G2:
[341] mental,health [182] covid,19 [59] 19,pandemic [18] health,covid [17] nature's,real [17] health,issues [17] real,health [15] health,problems [14] health,services [14] covid,pandemic Top Word Pairs in Tweet in G3:
[231] covid,19 [230] department,health [230] mental,hygiene [230] hygiene,xbb [230] xbb,transmissible [230] nyc,department [230] transmissible,form [230] form,covid [230] health,mental [229] alexmeshkin,nyc Top Word Pairs in Tweet in G4:
[192] dr,msg [192] time,covid [192] mental,health [192] physical,emotional [192] saint,dr [192] emotional,mental [192] tough,time [192] ensure,physical [192] covid,19 [192] great,tips Top Word Pairs in Tweet in G5:
[99] mental,health [46] avoiding,covid [44] affecting,mental [43] health,nope [43] told,worried [43] worried,obsession [43] covid,affecting [43] obsession,avoiding [42] amandalhu,told [23] blood,disorders Top Word Pairs in Tweet in G6:
[26] mental,health [9] barttels2,philalz [9] profrobhoward,madhavthambiset [9] philalz,adamfeuerstein [9] albertoespay,kasperkepp [9] adamfeuerstein,gregggonsalves [9] gregggonsalves,profrobhoward [9] kasperkepp,barttels2 [8] snupsnus,albertoespay [7] madhavthambiset,pas Top Word Pairs in Tweet in G7:
[68] eateries,hood [68] shop,load [68] sad,well [68] hood,closed [68] load,shedding [68] killing,lunch [68] closed,shop [68] well,patronised [68] patronised,eateries [68] shedding,killing Top Word Pairs in Tweet in G8:
[6] covid,19 [6] 19,vaccine [6] health,covid [6] mental,health [6] protects,mental [6] enrollment,healthcare [4] healthcare,insurance [3] insurance,january [3] 2023,protects [3] 15th,protects Top Word Pairs in Tweet in G9:
[4] ryanbeed,all_knowing_bio [4] mrdannyteal,cubanigar [4] its_agenda_2030,zeviax3 [4] sunshine_toes,joe09396262 [4] zxbxngxz,fatalfibers [4] 5shezz4,ptcjoneses [4] crazycdn2,vusuxballs [4] sc_ott,rw_christian [4] zeviax3,nathanaelyoung [4] all_knowing_bio,adrienn_me Top Word Pairs in Tweet in G10:
[43] mental,health [39] physical,health [38] health,wrt [38] covid,tricky [38] wrt,covid [38] balance,mental [38] health,physical [37] jenniferlerner1,balance [2] graeme_0,deannatwit [2] afraid,consequences Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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: