The graph represents a network of 6,367 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, 15 February 2021 at 06:19 UTC.
The requested start date was Monday, 15 February 2021 at 01:01 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, 23-hour, 11-minute period from Wednesday, 10 February 2021 at 13:19 UTC to Sunday, 14 February 2021 at 12:31 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 : 6367
Unique Edges : 5504
Edges With Duplicates : 14144
Total Edges : 19648
Number of Edge Types : 5
Mentions : 3981
Retweet : 5406
MentionsInRetweet : 8471
Tweet : 1458
Replies to : 332
Self-Loops : 1544
Reciprocated Vertex Pair Ratio : 0.0451049677821659
Reciprocated Edge Ratio : 0.0863166268894193
Connected Components : 439
Single-Vertex Connected Components : 163
Maximum Vertices in a Connected Component : 4839
Maximum Edges in a Connected Component : 15497
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.849214
Graph Density : 0.000248098295478853
Modularity : 0.459506
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 6,367 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, 15 February 2021 at 06:19 UTC.
The requested start date was Monday, 15 February 2021 at 01:01 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, 23-hour, 11-minute period from Wednesday, 10 February 2021 at 13:19 UTC to Sunday, 14 February 2021 at 12:31 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:
[808] #medtwitter,#meded [616] #meded,#foamed [390] #meded,#medtwitter [340] minutes,#medtwitter [301] more,medical [294] medical,news [211] sudden,cardiac [211] cardiac,death [210] bro,31 [210] 31,years Top Word Pairs in Tweet in G1:
[64] open,access [48] #meded,#medtwitter [47] journalofgme,jgme [44] jgme,open [44] access,move [44] move,aligns [44] aligns,acgme [44] acgme,mission [44] mission,providing [44] providing,easy Top Word Pairs in Tweet in G2:
[71] more,medical [69] medical,news [68] #meded,#pharma [67] #mhealth,#medtech [67] #medtech,#meded [67] #pharma,#ai [67] #ai,#biotech [66] #protocol,#mhealth [65] #clinicaltrials,#teckrotheanswer [57] #meded,#medtwitter Top Word Pairs in Tweet in G3:
[173] more,medical [169] medical,news [155] #medtwitter,#meded [78] news,#epidemiology [76] #epidemiology,#medtwitter [51] covid,19 [49] news,#cardiotwitter [49] #cardiotwitter,#medtwitter [32] #meded,#medtwitter [23] #meded,#foamed Top Word Pairs in Tweet in G4:
[312] #meded,#foamed [311] #medtwitter,#meded [310] minutes,#medtwitter [174] brachial,plexus [174] plexus,minutes [173] drmiketodorovic,brachial [89] acute,kidney [89] kidney,injury [89] injury,aki [89] aki,minutes Top Word Pairs in Tweet in G5:
[117] blood,gas [114] gas,graphic [94] pretty,excited [94] excited,accpchest [94] accpchest,blood [94] graphic,turned [94] turned,very [94] very,basic [94] basic,good [94] good,foundation Top Word Pairs in Tweet in G6:
[205] sudden,cardiac [205] cardiac,death [204] bro,31 [204] 31,years [204] years,old [204] old,tomorrow [204] tomorrow,died [204] died,suddenly [204] suddenly,27 [204] 27,sudden Top Word Pairs in Tweet in G7:
[23] addition,being [22] today,#neuroddxthursday [22] #neuroddxthursday,dedicated [22] dedicated,tracey1milligan [22] tracey1milligan,addition [22] being,amazing [22] amazing,mentor [22] mentor,first [21] caseyalbin,today [18] check,#teachingmoment Top Word Pairs in Tweet in G8:
[15] #medtwitter,#meded [12] #meded,#medtwitter [9] #meded,#medstudenttwitter [8] meded,kıl [8] kıl,yâ [6] yâ,rasulallah [5] meded,yâ [3] clinical,assessments [3] one,day [3] medical,education Top Word Pairs in Tweet in G9:
[166] #meded,#foamed [110] #foamed,#medtwitter [59] findings,#meded [58] aphasia,pathogenesis [58] pathogenesis,clinical [58] clinical,findings [58] #medtwitter,#neurotwitter [57] manualomedicine,aphasia [49] #medtwitter,#foamcc [46] manualomedicine,#meded Top Word Pairs in Tweet in G10:
[151] asco,#gu21 [21] key,take [21] take,away [21] away,points [21] points,excellent [21] excellent,presentation [21] presentation,ashleyrossmdphd [21] ashleyrossmdphd,northwesternu [21] northwesternu,role [21] role,genomic 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 G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: