The graph represents a network of 217 Twitter users whose recent tweets contained "#NephTwitter", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 20 October 2019 at 17:31 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 42-minute period from Friday, 11 October 2019 at 13:31 UTC to Sunday, 20 October 2019 at 16:13 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[22] #nephtwitter,#some [19] #nephtwitter,community [18] tweets,translated [17] search,database [15] #nephtwitter,#medtwitter [15] requesting,#nephtwitter [15] #nephtwitter,spare [15] spare,1minute [15] 1minute,fill [15] fill,anonymous Top Word Pairs in Tweet in G1:
[21] #nephtwitter,#some [18] tweets,translated [16] search,database [14] requesting,#nephtwitter [14] #nephtwitter,spare [14] spare,1minute [14] 1minute,fill [14] fill,anonymous [14] anonymous,survey [14] survey,6 Top Word Pairs in Tweet in G2:
[8] historical,data [7] #nephtwitter,community [6] keep,up [4] educational,tweets [4] up,tweeting [4] tweeting,#nephtwitter [4] #nephtwitter,providing [4] providing,education [4] education,those [4] those,physically Top Word Pairs in Tweet in G3:
[10] #cardiotwitter,#medtwitter [10] #medtwitter,#nephtwitter [9] attend,#hypertension2020 [9] #hypertension2020,#glasgow [9] #glasgow,deadline [9] deadline,abstracts [9] abstracts,29 [9] 29,nov [9] nov,2019 [9] 2019,#cardiotwitter Top Word Pairs in Tweet in G4:
[4] gratefull080504,ssfarouk [4] wutransplant,symposium [4] maximal_change,ssfarouk [3] #medtwitter,#nephtwitter [3] emoji,#kidneys [3] #kidneys,finally [3] finally,made [3] made,#googledoodle [3] #googledoodle,google [3] google,#nephtwitter Top Word Pairs in Tweet in G5:
[7] #nephtwitter,#medtwitter [5] #onconephrology,session [5] session,lahoti_amit [5] lahoti_amit,mdandersonnews [5] mdandersonnews,anyone [5] anyone,tls [5] tls,#nephtwitter [5] #medtwitter,#educators [5] #educators,nephbcm [2] excited,present Top Word Pairs in Tweet in G6:
[10] #renal,effects [10] effects,novel [10] novel,antiretroviral [10] antiretroviral,drugs [10] drugs,dolutegravir [10] dolutegravir,raltegravir [10] raltegravir,elvitegravir [10] elvitegravir,cobicistat [10] cobicistat,tenofovir [10] tenofovir,alafenamide Top Word Pairs in Tweet in G7:
[3] transpl_int,esot2019 [3] esot2019,esottransplant [3] esottransplant,piggy [3] piggy,back [3] back,onto [3] onto,learning [3] learning,#esot2019 [3] #esot2019,#esot2017 [3] #esot2017,original [3] original,tweets Top Word Pairs in Tweet in G8:
[2] #nephtwitter,#kidney [2] #kidney,#medart [2] #medart,lyricalmezzanine [2] rm_werner,janemzhu [2] janemzhu,rainamerchant [2] rainamerchant,jamainternalmed [2] jamainternalmed,data [2] data,shows [2] shows,#nephtwitter [2] #nephtwitter,men Top Word Pairs in Tweet in G9:
[3] #nephrology,#cardiology [3] #nephrologygrandrounds,#nephtwitter [3] #nephtwitter,#nephjc [3] #nephjc,#medtwitter [2] today,s [2] s,#nephjc [2] #nephjc,dr [2] dr,abdul [2] abdul,qadeer [2] qadeer,presented Top Word Pairs in Tweet in G10:
[2] incidence,rates 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: