The graph represents a network of 3,226 Twitter users whose recent tweets contained "#MedTech", 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 Wednesday, 10 July 2019 at 11:17 UTC.
The tweets in the network were tweeted over the 9-day, 10-hour, 8-minute period from Monday, 01 July 2019 at 00:38 UTC to Wednesday, 10 July 2019 at 10:46 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 : 3226
Unique Edges : 4616
Edges With Duplicates : 2773
Total Edges : 7389
Self-Loops : 1578
Reciprocated Vertex Pair Ratio : 0.0434020166593599
Reciprocated Edge Ratio : 0.0831932773109244
Connected Components : 443
Single-Vertex Connected Components : 205
Maximum Vertices in a Connected Component : 2020
Maximum Edges in a Connected Component : 5813
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.319433
Graph Density : 0.000457522936220726
Modularity : 0.586606
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[247] #healthtech,#medtech [178] t,co [177] https,t [150] #digitalhealth,#innovation [129] #innovation,#healthtech [112] medical,device [110] #medtech,#li [109] #li,#fb [102] #iot,#healthtech [101] #medtech,#healthtech Top Word Pairs in Tweet in G1:
[194] #healthtech,#medtech [148] #digitalhealth,#innovation [133] https,t [133] t,co [128] #innovation,#healthtech [110] #medtech,#li [109] #li,#fb [96] #medtech,#smarthealth [81] #smarthealth,#mhealth [71] read,more Top Word Pairs in Tweet in G2:
[89] #iot,#healthtech [83] patch,replace [83] replace,finger [83] finger,pricking [83] pricking,people [83] people,diabetes [83] diabetes,#iot [81] #healthtech,#medtwitter [81] #medtwitter,#medtech [81] #medtech,irmaraste Top Word Pairs in Tweet in G3:
[31] #phlebotomist,#medtech [28] biomedical,technician [19] link,bio [18] biotest,pharmaceutical [18] pharmaceutical,corporation [14] check,out [12] health,care [11] care,job [11] right,now [11] #cna,classes Top Word Pairs in Tweet in G4:
[63] medical,device [23] #medtech,#medicaldevices [20] find,out [20] #medtech,#meddevice [19] learn,more [19] gt,gt [18] july,2019 [17] #regulatory,focus [16] #medtech,companies [15] #medicaldevices,#medtech Top Word Pairs in Tweet in G5:
[15] verb,verbtech_co [11] check,out [11] great,see [10] interactivevid2,verb [9] life,science [9] verbtech_co,#directsales [9] #directsales,crm [9] crm,#crm [9] #crm,mchlbtts [9] mchlbtts,orc Top Word Pairs in Tweet in G6:
[13] georam72,smarkus [13] smarkus,soundbuy [13] soundbuy,davgreer [13] davgreer,oxinst [13] oxinst,dianaepatterson [13] dianaepatterson,andortechnology [13] andortechnology,brilliantleader [13] brilliantleader,mattbird55 [13] mattbird55,neurochasm [10] conkers3,georam72 Top Word Pairs in Tweet in G7:
[15] medical,device [8] university,kansas [7] breakthrough,award [7] #medtech,#healthcare [7] find,out [6] know,won [6] won,2019 [6] 2019,medical [6] device,engineering [6] engineering,breakthrough Top Word Pairs in Tweet in G8:
[20] clinical,needs [12] johnnosta,joebabaian [11] congrats,friends [11] friends,top [11] top,healthcare [11] healthcare,influencers [11] influencers,thought [11] thought,leaders [11] leaders,shaping [11] shaping,#medtech Top Word Pairs in Tweet in G9:
[12] medtech,s [10] #medtech,#healthtech [9] apply,now [9] s,talent [8] now,medtech [8] talent,australia's [8] australia's,premier [8] premier,largest [8] largest,longest [8] longest,running Top Word Pairs in Tweet in G10:
[6] #medtech,#hcsmeufr [6] brussels,enters [6] enters,new [6] new,political [6] political,cycle [6] cycle,nabedlington [6] nabedlington,sees [6] sees,#medtech [6] #medtech,#healthdata [6] #healthdata,health Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 G9:
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: