The graph represents a network of 873 Twitter users whose recent tweets contained "#IM2019", 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 Thursday, 11 April 2019 at 16:00 UTC.
The tweets in the network were tweeted over the 9-day, 17-hour, 56-minute period from Monday, 01 April 2019 at 22:01 UTC to Thursday, 11 April 2019 at 15:57 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 : 873
Unique Edges : 1995
Edges With Duplicates : 2901
Total Edges : 4896
Self-Loops : 375
Reciprocated Vertex Pair Ratio : 0.116616830414353
Reciprocated Edge Ratio : 0.208875286916603
Connected Components : 43
Single-Vertex Connected Components : 33
Maximum Vertices in a Connected Component : 813
Maximum Edges in a Connected Component : 4817
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.116786
Graph Density : 0.0034337988797461
Modularity : 0.294009
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[225] acpinternists,#im2019 [115] #im2019,acpinternists [101] #im2019,#improud [88] #im2019,#curb19 [83] opening,ceremony [68] #improud,#im2019 [60] vivek,murthy [59] internal,medicine [46] looking,forward [43] aoglasser,#im2019 Top Word Pairs in Tweet in G1:
[82] #im2019,#curb19 [60] acpinternists,#im2019 [51] #im2019,acpinternists [33] opening,ceremony [30] vivek,murthy [24] health,issue [24] #curb19,thecurbsiders [23] aoglasser,#im2019 [22] dr,vivek [22] public,health Top Word Pairs in Tweet in G2:
[79] acpinternists,#im2019 [65] #im2019,#improud [34] #improud,#im2019 [27] #improud,acpinternists [26] #im2019,acpinternists [19] board,governors [19] looking,forward [18] opening,ceremony [17] come,#tweetup [16] harvardmit_crs,acpinternists Top Word Pairs in Tweet in G3:
[54] acpinternists,#im2019 [29] internal,medicine [25] meeting,2019 [24] opening,ceremony [23] medicine,meeting [22] drmarksgold,dr [21] exhibit,hall [18] #internalmedicine,meeting [18] #im2019,attendees [16] annual,meeting Top Word Pairs in Tweet in G4:
[12] #annalsstoryslam,#im2019 [12] junior,investigator [11] discussing,now [9] recipients,junior [9] investigator,awards [9] year,s [8] acpinternists,#im2019 [7] congratulations,year [7] s,recipients [7] awards,muhammad Top Word Pairs in Tweet in G5:
[9] #im2019,acpinternists [7] #impocus,cases [7] cases,im_pocus [7] im_pocus,#im2019 [7] #im2019,aside [7] aside,definitely [7] definitely,more [7] more,impocus [7] impocus,fellowships [7] fellowships,needed Top Word Pairs in Tweet in G6:
[11] acs,post [11] post,discharge [11] discharge,care [6] cardiology,internist [6] now,acp [6] acp,precourse [6] great,opportunity [6] opportunity,speak [6] speak,acpinternists [6] acpinternists,acs Top Word Pairs in Tweet in G7:
[7] #jhmchat,#somedocs [6] #somedocs,#acp2019 [6] #acp2019,#hcsm [6] #hcsm,#im2019 [5] #prowd,#heforshe [5] #somedocs,#scimedtwitter [4] #heforshe,#jhmchat [4] #scimedtwitter,#timesuphc [4] #heforshe,#burnout [4] #burnout,#bullying Top Word Pairs in Tweet in G8:
[6] internal,medicine [3] next,week [3] don,t [3] medicine,meeting [3] chance,win [3] philadelphia,pa [3] opening,ceremony [3] #improud,#im2019 [3] acp,#im2019 [2] #im2019,starts Top Word Pairs in Tweet in G9:
[8] #im2019,acpinternists [7] acpinternists,#im2019 [6] aoglasser,#im2019 [6] #im2019,#improud [5] #im2019,look [5] look,forward [3] power,#medtwitter [3] #medtwitter,#some [3] members,acpinternists [3] vivek,murthy Top Word Pairs in Tweet in G10:
[3] looking,safe [3] safe,reliable [3] reliable,#evidencebased [3] #evidencebased,way [3] way,#interdisciplinary [3] #interdisciplinary,team [3] team,based [3] based,#handoffs [3] #handoffs,come [3] come,check 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 G9:
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 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: