The graph represents a network of 4,685 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 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 12:13 UTC.
The tweets in the network were tweeted over the 2434-day, 12-hour, 49-minute period from Sunday, 19 June 2016 at 12:00 UTC to Saturday, 18 February 2023 at 00:49 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 : 4685
Unique Edges : 4922
Edges With Duplicates : 11448
Total Edges : 16370
Number of Edge Types : 9
Mentions : 2461
MentionsInRetweet : 6034
Retweet : 3300
MentionsInReplyTo : 3279
Replies to : 751
Quote : 73
Tweet : 156
MentionsInQuote : 202
MentionsInQuoteReply : 114
Self-Loops : 480
Reciprocated Vertex Pair Ratio : 0.0230547550432277
Reciprocated Edge Ratio : 0.0450704225352113
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 4680
Maximum Edges in a Connected Component : 16341
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.786063
Graph Density : 0.000420605763438195
Modularity : 0.39059
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,685 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 2/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 February 2023 at 12:13 UTC.
The tweets in the network were tweeted over the 2434-day, 12-hour, 49-minute period from Sunday, 19 June 2016 at 12:00 UTC to Saturday, 18 February 2023 at 00:49 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:
[715] jama_current,part [665] part,jamanetwork [357] health,care [330] damaging,devastating [330] 28,days [330] devastating,strokes [330] days,c19 [330] neurologically,damaging [330] signal,7757 [330] lt,28 Top Word Pairs in Tweet in G1:
[173] vibrio,vulnificus [153] eat,raw [152] patients,eat [152] advise,immunosuppressed [152] immunosuppressed,patients [152] raw,oysters [152] reason,advise [152] oysters,jama_current [152] vulnificus,reason [151] jama_current,ht Top Word Pairs in Tweet in G2:
[592] jama_current,part [568] part,jamanetwork [165] health,care [142] existential,threat [140] threat,greed [139] greed,health [130] care,jama_current [96] jama_current,jamanetwork [57] covid,19 [47] nonhuman,authors Top Word Pairs in Tweet in G3:
[41] jama_current,study [37] medical,news [36] jama_current,ritarubin [34] jama_current,medical [34] news,brief [30] years,ago [30] fold,healthcare [30] latest,above [30] above,fold [30] healthcare,thanks Top Word Pairs in Tweet in G4:
[330] neurologically,damaging [330] stroke,signal [330] signal,7757 [330] damaging,devastating [330] devastating,strokes [330] huge,stroke [330] 7757,neurologically [330] lt,28 [330] strokes,lt [330] 28,days Top Word Pairs in Tweet in G5:
[113] clinical,effect [113] drug,ads [113] consumer,drug [113] less,drug's [113] effect,more [113] spent,drug [113] more,spent [113] drug,companies [113] drug's,clinical [113] ads,less Top Word Pairs in Tweet in G6:
[91] health,care [46] existential,threat [45] greed,health [45] threat,greed [32] donberwick,jama_current [29] piece,jama_current [28] insights,piece [28] jama_current,calling [28] elevation,profit [28] calling,elevation Top Word Pairs in Tweet in G7:
[20] medical_xpress,study [18] jama_current,thelancetinfdis [18] study,finds [14] nih_nhlbi,jama_current [14] lack,#measles [14] pregnant,people [13] jamanetworkopen,jama_current [12] screening,tool [12] jamanetworkopen,_xiaojuanli [12] altmetric,jamanetworkopen Top Word Pairs in Tweet in G8:
[92] genital,warts [91] infections,caused [91] types,human [91] caused,types [91] warts,one [91] transmitted,infections [91] sexually,transmitted [91] common,sexually [91] one,common [90] innov_medicine,genital Top Word Pairs in Tweet in G9:
[60] long,covid [35] weselymd,jama_current [24] findings,suggest [24] visits,mos [24] #covid,associated [24] study,800 [24] doc,visits [24] covid,vaccines [24] jama_current,findings [24] suggest,#covid Top Word Pairs in Tweet in G10:
[80] latent,tuberculosis [80] tuberculosis,infection [80] management,latent [79] proposed,algorithm [79] jan,19 [79] published,current [79] 19,proposed [79] jama,2023 [79] algorithm,published [79] 2023,jan Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: