The graph represents a network of 15,348 Twitter users whose recent tweets contained "#MedTwitter -#foamed -#foamrad -#meded", 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, 19 April 2020 at 22:52 UTC.
This adds to a previous graph that looked at the three hashtags excluded for this search (#foamed #foamrad #meded), to provide a combined view of tweets using any of these four hashtags over a period of a week: http://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=225227
The tweets in the network were tweeted over the 7-day, 11-hour, 8-minute period from Sunday, 12 April 2020 at 10:50 UTC to Sunday, 19 April 2020 at 21:58 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
Vertices : 25221
Unique Edges : 59081
Edges With Duplicates : 18062
Total Edges : 77143
Self-Loops : 6825
Reciprocated Vertex Pair Ratio : 0.0277020739165116
Reciprocated Edge Ratio : 0.0539107093769707
Connected Components : 1505
Single-Vertex Connected Components : 970
Maximum Vertices in a Connected Component : 22581
Maximum Edges in a Connected Component : 73767
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.85656
Graph Density : 9.7226166996204E-05
Modularity : 0.621011
NodeXL Version : 1.0.1.431
Data Import : The graph represents a network of 15,348 Twitter users whose recent tweets contained "#MedTwitter -#foamed -#foamrad -#meded", 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, 19 April 2020 at 22:52 UTC.
The tweets in the network were tweeted over the 7-day, 11-hour, 8-minute period from Sunday, 12 April 2020 at 10:50 UTC to Sunday, 19 April 2020 at 21:58 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #MedTwitter -#foamed -#foamrad -#meded
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2982] covid,19 [1964] #covid19,#medtwitter [1450] type,h [1448] compliance,elastic [1448] elastic,resistance [1448] resistance,recruitability [1317] #foamed,#foamcc [1268] #medtwitter,#covid19 [950] #meded,#medtwitter [885] right,now Top Word Pairs in Tweet in G1:
[254] #medtwitter,#covid19 [240] #covid19,#medtwitter [223] covid,19 [162] #medtwitter,#medstudenttwitter [160] #meded,#medtwitter [144] during,#covid19 [139] #medtwitter,#meded [122] #medtwitter,#nursetwitter [121] med,students [114] don,t Top Word Pairs in Tweet in G2:
[1328] compliance,elastic [1328] elastic,resistance [1328] resistance,recruitability [1328] type,h [1101] #foamed,#foamcc [847] covid,19 [745] 2,covid [664] covid,phenotypes [664] phenotypes,described [664] described,gattinon Top Word Pairs in Tweet in G3:
[507] covid,19 [403] #foamrad,#foamed [343] #meded,#medtwitter [242] #meded,#hpe [238] #orthotwitter,#medtwitter [237] #foamed,#foamrad [208] answer,#foamrad [187] medical,students [179] #medtwitter,#meded [175] #nightingale,#nhs Top Word Pairs in Tweet in G4:
[474] covid,19 [412] new,case [412] case,report [266] #meded,#foamed [234] #covid19,#medtwitter [223] #medtwitter,#covid19 [204] presents,acute [204] acute,abdomen [203] report,covid [203] 19,presents Top Word Pairs in Tweet in G5:
[65] covid,19 [58] #covid19,#medtwitter [34] #medtwitter,#medstudenttwitter [30] #medtwitter,#nursetwitter [30] #medtwitter,#covid19 [19] don,t [19] #nursetwitter,#medtwitter [18] hey,#medtwitter [16] #medtwitter,#dermatology [15] #meded,#foamed Top Word Pairs in Tweet in G6:
[112] let's,talk [60] #medtwitter,#foamed [59] #medtwitter,excited [59] liver,disease [56] talk,cytopenias [56] cytopenias,cirrhosis [56] cirrhosis,many [56] many,patients [56] patients,cirrhosis [56] cirrhosis,one Top Word Pairs in Tweet in G7:
[81] book,real [81] real,physical [81] physical,entity [81] entity,#trans [81] #trans,#health [81] #health,#medtwitter [80] #dermtwitter,#medtwitter [59] #medtwitter,#nursetwitter [49] #covid19,#medtwitter [46] #dermtwitter,#dermatology Top Word Pairs in Tweet in G8:
[622] public,health [621] m,calling [621] calling,#medtwitter [621] #medtwitter,act [621] act,right [621] right,now [621] now,make [621] make,voices [621] voices,heard [621] heard,speak Top Word Pairs in Tweet in G9:
[201] #cardiotwitter,#medtwitter [158] #ehj,ehj_ed [158] ehj_ed,#cardiotwitter [156] #covid19,related [134] cruel,profdfrancis [134] profdfrancis,people [134] people,placebo [134] placebo,instead [134] instead,miracle [134] miracle,drug Top Word Pairs in Tweet in G10:
[268] heroes,front [268] front,line [247] #medtwitter,#covid19 [230] anesthesiologist,cover [230] cover,time [230] time,one [230] one,heroes [230] line,thank [230] thank,ht [230] ht,neilindranil 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: