The graph represents a network of 3,309 Twitter users whose recent tweets contained "#xMed", 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 Saturday, 09 November 2019 at 12:21 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 43-minute period from Thursday, 31 October 2019 at 17:27 UTC to Saturday, 09 November 2019 at 11:11 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 : 3309
Unique Edges : 10352
Edges With Duplicates : 19926
Total Edges : 30278
Self-Loops : 1052
Reciprocated Vertex Pair Ratio : 0.0515455767254328
Reciprocated Edge Ratio : 0.0980377415231938
Connected Components : 31
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 3244
Maximum Edges in a Connected Component : 30224
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.732603
Graph Density : 0.00121512799177649
Modularity : 0.210941
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,309 Twitter users whose recent tweets contained "#xMed", 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 Saturday, 09 November 2019 at 12:21 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 43-minute period from Thursday, 31 October 2019 at 17:27 UTC to Saturday, 09 November 2019 at 11:11 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 : TwitterSearch
Graph Term : #xMed
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[952] exponentialmed,#xmed [758] #xmed,exponentialmed [586] #healthtech,#digitalhealth [493] exponential,medicine [426] #health,#healthtech [400] #healthtech,#ehealth [400] #ehealth,#digitalhealth [382] #medtech,#healthit [382] #healthit,#medtwitter [379] #xmed,#health Top Word Pairs in Tweet in G1:
[295] #healthtech,#digitalhealth [236] exponentialmed,#xmed [232] #health,#healthtech [220] #xmed,exponentialmed [215] #medtech,#healthit [215] #healthit,#medtwitter [209] irmaraste,evirahealth [207] #digitalhealth,#healthcare [207] #healthcare,#medtech [191] #xmed,#health Top Word Pairs in Tweet in G2:
[287] #healthtech,#ehealth [287] #ehealth,#digitalhealth [274] #digitalhealth,#robotics [240] #xmed,#artificialintelligence [239] #industry40,#xmed [226] #robotics,#iot [226] #iot,#industry40 [224] #ai,powered [224] powered,health [224] health,pods Top Word Pairs in Tweet in G3:
[303] #xmed,exponentialmed [299] exponentialmed,#xmed [217] #rt,singularityu [201] exponential,medicine [104] lucienengelen,#xmed [98] #xmed,livestream [94] medicine,2019 [92] #healthtech,#digitalhealth [88] san,diego [81] erictopol,cuttingforstone Top Word Pairs in Tweet in G4:
[173] exponentialmed,#xmed [109] #xmed,exponentialmed [86] #healthtech,#digitalhealth [69] #xmed,#healthtech [63] exponential,medicine [41] innovation,lab [37] #health,#healthcare [36] #digitalhealth,#healthtech [35] #digitalhealth,#xmed [33] san,diego Top Word Pairs in Tweet in G5:
[167] #hcldr,#xmed [41] exponentialmed,#xmed [41] gun,violence [34] challenge,healthcare [33] innovation's,challenge [32] 830p,e [32] #xmed,blog [29] exponential,medicine [29] public,health [26] incremental,#innovation Top Word Pairs in Tweet in G6:
[60] exponentialmed,#xmed [45] medical,care [44] stacey_chang,#xmed [42] exponential,medicine [42] based,medicine [40] individual,health [40] health,outcomes [40] outcomes,determined [40] determined,many [40] many,things Top Word Pairs in Tweet in G7:
[23] louiefilms,film [23] film,director [23] director,cinematographer [23] cinematographer,#xmed [23] rhanbury,ceo [23] ceo,sana_health [23] sana_health,#xmed [22] peterdiamandis,#xmed [22] #xmed,singularityu [19] exponentialmed,#xmed Top Word Pairs in Tweet in G8:
[148] #xmed,#jpm20 [117] #flaacos19,#xmed [32] annual,conference [29] pop,up [29] up,studio [26] #pinksocks,pop [17] #jpm20,#dpc [16] flaacos,annual [14] #hlth2019,#xmed [13] fsgoldstein,flaacos Top Word Pairs in Tweet in G9:
[3] doctors,use [3] use,crispr [3] crispr,gene [3] gene,editing [3] editing,cancer [3] cancer,patients [3] patients,first [3] first,u [3] u,s [3] s,#xmed Top Word Pairs in Tweet in G10:
[16] designing,patients [8] stop,designing [8] patients,start [8] start,designing [8] patients,solidfooting [8] solidfooting,#amscompassion2019 [8] #amscompassion2019,#xmed [8] #xmed,amshealthcare 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 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 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: