The graph represents a network of 4,653 Twitter users whose recent tweets contained "jama_current", 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 12:13 UTC.
The tweets in the network were tweeted over the 2067-day, 6-hour, 24-minute period from Wednesday, 07 June 2017 at 18:21 UTC to Saturday, 04 February 2023 at 00:45 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 : 4653
Unique Edges : 4644
Edges With Duplicates : 11732
Total Edges : 16376
Number of Edge Types : 9
Mentions : 2145
MentionsInRetweet : 5975
Retweet : 3401
MentionsInReplyTo : 3562
Replies to : 772
Tweet : 134
Quote : 78
MentionsInQuote : 192
MentionsInQuoteReply : 117
Self-Loops : 452
Reciprocated Vertex Pair Ratio : 0.0211171662125341
Reciprocated Edge Ratio : 0.0413609072715143
Connected Components : 4
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 4647
Maximum Edges in a Connected Component : 16347
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.791774
Graph Density : 0.000415508702953133
Modularity : 0.382138
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,653 Twitter users whose recent tweets contained "jama_current", 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 12:13 UTC.
The tweets in the network were tweeted over the 2067-day, 6-hour, 24-minute period from Wednesday, 07 June 2017 at 18:21 UTC to Saturday, 04 February 2023 at 00:45 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 : jama_current
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:
[606] jama_current,part [566] part,jamanetwork [329] damaging,devastating [329] 28,days [329] devastating,strokes [329] days,c19 [329] neurologically,damaging [329] signal,7757 [329] lt,28 [329] huge,stroke Top Word Pairs in Tweet in G1:
[228] cause,mortality [224] significantly,higher [224] excess,cause [223] compared,peer [223] #covid19,excess [223] mortality,compared [223] peer,countries [222] experience,significantly [222] continued,experience [222] higher,#covid19 Top Word Pairs in Tweet in G2:
[520] jama_current,part [504] part,jamanetwork [115] jama_current,jamanetwork [108] health,care [93] existential,threat [92] threat,greed [91] greed,health [88] care,jama_current [60] covid,19 [43] latent,tuberculosis Top Word Pairs in Tweet in G3:
[77] blood,draws [66] sleeping,hours [64] hours,contributor [64] during,usual [64] draws,during [64] hospital,syndrome [64] contributor,hospital [64] usual,sleeping [64] syndrome,usual [64] patient,blood Top Word Pairs in Tweet in G4:
[328] neurologically,damaging [328] stroke,signal [328] signal,7757 [328] damaging,devastating [328] devastating,strokes [328] huge,stroke [328] 7757,neurologically [328] lt,28 [328] strokes,lt [328] 28,days Top Word Pairs in Tweet in G5:
[68] ltbi,treatment [68] treatment,algorithm [67] infection,proposed [67] tuberculosis,infection [67] jama_current,management [67] proposed,ltbi [67] management,latent [67] review,article [67] article,jama_current [67] latent,tuberculosis Top Word Pairs in Tweet in G6:
[98] genital,warts [97] infections,caused [97] types,human [97] warts,one [97] one,common [97] sexually,transmitted [97] caused,types [97] transmitted,infections [97] common,sexually [96] human,papillom Top Word Pairs in Tweet in G7:
[48] wrote,essay [48] ironically,strongest [48] last,month [48] marks,fda [48] jama_current,many [48] essay,jama_current [48] peter,marks [48] fda,wrote [48] many,missed [48] missed,ironically Top Word Pairs in Tweet in G8:
[95] tuberculosis,infection [95] management,latent [95] latent,tuberculosis [88] jan,19 [88] algorithm,published [88] 19,proposed [88] published,current [88] proposed,algorithm [88] 2023,jan [88] infection,jama Top Word Pairs in Tweet in G9:
[51] published,jama_current [48] trial,significant [48] primary,results [48] significant,difference [48] difference,mortality [48] #transformhf,trial [48] jama_current,primary [48] results,#transformhf [47] sjgreene_md,published [47] mortality,ho Top Word Pairs in Tweet in G10:
[18] patient,portal [18] portal,messages [15] discussing,big [15] impact,clinical [15] big,increase [15] messages,impact [15] nytimes,discussing [15] clinical,workforce [15] quoted,today [15] increase,patient Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: