The graph represents a network of 6,650 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, 17 August 2020 at 05:19 UTC.
The requested start date was Monday, 17 August 2020 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, 44-minute period from Tuesday, 11 August 2020 at 05:18 UTC to Friday, 14 August 2020 at 22:03 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 : 6650
Unique Edges : 5688
Edges With Duplicates : 12903
Total Edges : 18591
Number of Edge Types : 5
Retweet : 5156
MentionsInRetweet : 7721
Tweet : 1469
Replies to : 343
Mentions : 3902
Self-Loops : 1537
Reciprocated Vertex Pair Ratio : 0.0481391156823242
Reciprocated Edge Ratio : 0.0918563480020233
Connected Components : 517
Single-Vertex Connected Components : 210
Maximum Vertices in a Connected Component : 5134
Maximum Edges in a Connected Component : 15680
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.092262
Graph Density : 0.000223562365079491
Modularity : 0.473557
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 6,650 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, 17 August 2020 at 05:19 UTC.
The requested start date was Monday, 17 August 2020 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, 44-minute period from Tuesday, 11 August 2020 at 05:18 UTC to Friday, 14 August 2020 at 22:03 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:
[342] #medtwitter,#meded [340] #meded,#medtwitter [291] #meded,#foamed [261] today,intern [261] intern,go [261] go,home [261] home,early [261] early,birthday [261] birthday,took [261] took,pager Top Word Pairs in Tweet in G1:
[67] #meded,#medtwitter [50] #impocus,#meded [38] medical,students [37] nutcracker,syndrome [37] #pocus,#impocus [33] #hmicommunity,day [31] #meded,#hpe [26] #medtwitter,#meded [25] community,practice [24] worldwide,community Top Word Pairs in Tweet in G2:
[69] #meded,#medtwitter [52] #medtwitter,#meded [38] learn,more [35] #medtwitter,#neurotwitter [34] #medstudenttwitter,#meded [33] updates,answers [33] answers,posted [33] posted,later [33] later,today [33] today,asking Top Word Pairs in Tweet in G3:
[244] today,intern [244] intern,go [244] go,home [244] home,early [244] early,birthday [244] birthday,took [244] took,pager [244] pager,believe [244] believe,rude [244] rude,flippant Top Word Pairs in Tweet in G4:
[64] #cardioed,#meded [55] #cardiotwitter,#cardioed [21] #foamed,#meded [21] #meded,#cardioed [21] read,full [19] acraasm,#acra2020 [18] heart,failure [16] full,#cardiotwitter [16] clinician,educator [14] super,#cardioed Top Word Pairs in Tweet in G5:
[25] #medtwitter,#meded [14] read,more [12] daily,news [12] news,healthcare [12] section,#hcmktg [12] #hcmktg,#hcsm [12] #hcsm,#healthit [12] #healthit,#meded [12] #meded,#patient [12] #patient,#physicians Top Word Pairs in Tweet in G6:
[116] #cardiotwitter,#cardioed [115] #cardioed,#meded [50] read,full [49] full,#cardiotwitter [41] treat,disease [41] disease,win [41] win,lose [41] lose,treat [41] treat,person [41] person,guarantee Top Word Pairs in Tweet in G7:
[91] #nephronotes,#nephpearls [78] #nephpearls,#foamed [70] #foamed,#medtwitter [59] #foamed,#meded [49] #medtwitter,#meded [25] etiologies,#nephrotic [25] #nephrotic,syndrome [25] syndrome,#foamed [24] neph_sim,etiologies [21] many,crystals Top Word Pairs in Tweet in G8:
[203] #meded,#foamed [99] #usmle,#medtwitter [87] #foamed,#usmle [68] #foamed,#medicine [68] #medicine,#medtwitter [65] acute,cholecystitis [65] cholecystitis,pathogenesis [65] pathogenesis,clinical [65] clinical,findings [65] findings,#meded Top Word Pairs in Tweet in G9:
[47] delighted,finally [47] finally,online [47] online,'too [47] 'too,male [47] male,pale [47] pale,stale' [47] stale',qualitative [47] qualitative,exploration [47] exploration,student [47] student,experiences Top Word Pairs in Tweet in G10:
[15] done,before [14] never,done [13] evidence,long [13] long,#meded [13] #meded,sars [13] sars,commission [13] commission,hearing [13] hearing,lot [13] lot,ve [13] ve,never Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: