The graph represents a network of 6,026 Twitter users whose tweets in the requested range contained "meded", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 04 July 2022 at 05:39 UTC.
The requested start date was Monday, 04 July 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 16-hour, 46-minute period from Wednesday, 29 June 2022 at 18:14 UTC to Sunday, 03 July 2022 at 11:00 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 : 6026
Unique Edges : 3722
Edges With Duplicates : 14043
Total Edges : 17765
Number of Edge Types : 5
Retweet : 5542
MentionsInRetweet : 7344
Tweet : 1177
Mentions : 3033
Replies to : 669
Self-Loops : 1244
Reciprocated Vertex Pair Ratio : 0.038020898904696
Reciprocated Edge Ratio : 0.0732565191024864
Connected Components : 561
Single-Vertex Connected Components : 216
Maximum Vertices in a Connected Component : 4163
Maximum Edges in a Connected Component : 14548
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.336134
Graph Density : 0.000227093383718961
Modularity : 0.425009
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,026 Twitter users whose tweets in the requested range contained "meded", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 04 July 2022 at 05:39 UTC.
The requested start date was Monday, 04 July 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 16-hour, 46-minute period from Wednesday, 29 June 2022 at 18:14 UTC to Sunday, 03 July 2022 at 11:00 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 : GraphServerTwitterSearch
Graph Term : 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1093] #foamed,#meded [1074] #meded,#medtwitter [579] #medtwitter,#meded [493] #medtwitter,#foamed [465] #meded,#foamed [456] #bjhm,#foamed [420] #bjhm,#meded [304] #foamed,#medtwitter [287] drugs,treatments [287] treatments,adults Top Word Pairs in Tweet in G1:
[638] #meded,#medtwitter [599] #foamed,#meded [420] #bjhm,#foamed [373] #bjhm,#meded [270] #meded,#foamed [266] #foamed,#medtwitter [170] #medtwitter,#hemetwitter [160] picturing,medicine [160] medicine,#bjhm [150] #hemetwitter,#hematology Top Word Pairs in Tweet in G2:
[200] venous,flow [107] ij,vein [100] extracardiac,#pocus [100] #pocus,signs [100] signs,fluid [100] fluid,overload [100] overload,ij [100] vein,ivc [100] ivc,hepatic [100] hepatic,venous Top Word Pairs in Tweet in G3:
[32] #meded,#medtwitter [17] research,roundup [14] #meded,#hpe [13] submit,questions [11] clinicalteacher,meded_journal [11] 1st,2022 [11] july,1st [10] #meded,research [10] question,editors [10] editors,clinicalteacher Top Word Pairs in Tweet in G4:
[357] #foamed,#meded [342] #medtwitter,#foamed [230] #meded,#usmle [228] drugs,treatments [228] treatments,adults [228] adults,type [228] type,diabetes [223] diabetes,#medtwitter [222] manualomedicine,drugs [106] differential,diagnosis Top Word Pairs in Tweet in G5:
[51] #medtwitter,#meded [46] #meded,#medtwitter [18] #medtwitter,#medstudenttwitter [12] #meded,#foamed [12] #foamed,#meded [12] #medstudenttwitter,#fy1 [10] #fy1,#physicianassociate [10] #physicianassociate,#paramedic [10] #paramedic,#anp [10] #anp,#nurses Top Word Pairs in Tweet in G6:
[184] skin,findings [183] patient,comes [181] drsteventchen,patient [121] comes,joint [121] joint,pain [121] pain,fever [121] fever,skin [121] findings,below [121] below,recently [121] recently,finished Top Word Pairs in Tweet in G7:
[40] confused,ampc [40] ampc,means [40] means,worry [40] worry,well [40] well,put [40] put,stillsuit [40] stillsuit,buckle [40] buckle,tweetorial [39] natesummrsa,confused [39] tweetorial,spic Top Word Pairs in Tweet in G8:
[28] imaging,findings [28] evaluating,abnormal [28] abnormal,liver [28] liver,studies [27] chronic,pancreatitis [27] pancreatitis,structural [27] structural,imaging [27] findings,related [27] related,clinical [27] clinical,complications Top Word Pairs in Tweet in G9:
[33] #meded,#medtwitter [28] #usmle,tip [27] next,video [27] video,#asnr's [27] #asnr's,neurocurriculum [27] neurocurriculum,live [23] awanrad,#usmle [17] live,summer [16] miss,intracranial [16] intracranial,arterial Top Word Pairs in Tweet in G10:
[35] cervical,mass [35] mass,biopsy [35] biopsy,differential [35] differential,diagnosis [35] diagnosis,stains [35] stains,additional [35] additional,information [35] information,#pathology [34] drestheradler,cervical [29] pathology,residents Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: