The graph represents a network of 3,110 Twitter users whose tweets in the requested range contained "ehealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 31 December 2019 at 01:11 UTC.
The requested start date was Tuesday, 31 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 9-day, 13-hour, 44-minute period from Friday, 20 December 2019 at 22:52 UTC to Monday, 30 December 2019 at 12:36 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 : 3110
Unique Edges : 5467
Edges With Duplicates : 4189
Total Edges : 9656
Number of Edge Types : 4
MentionsInRetweet : 6244
Replies to : 105
Mentions : 2425
Tweet : 882
Self-Loops : 882
Reciprocated Vertex Pair Ratio : 0.0250866479617099
Reciprocated Edge Ratio : 0.0489454194171631
Connected Components : 166
Single-Vertex Connected Components : 82
Maximum Vertices in a Connected Component : 2674
Maximum Edges in a Connected Component : 9107
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.845042
Graph Density : 0.000642362852790209
Modularity : 0.453619
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 3,110 Twitter users whose tweets in the requested range contained "ehealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 31 December 2019 at 01:11 UTC.
The requested start date was Tuesday, 31 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 9-day, 13-hour, 44-minute period from Friday, 20 December 2019 at 22:52 UTC to Monday, 30 December 2019 at 12:36 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 : ehealth
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:
[737] enricomolinari,#ehealth [475] #healthtech,#ehealth [462] #ehealth,#digitalhealth [406] #ai,#fintech [313] #iot,#ai [310] #ehealth,#mhealth [302] #digitalhealth,#robotics [283] #ehealth,#medtech [276] enricomolinari,#iot [248] tictoc,enricomolinari Top Word Pairs in Tweet in G1:
[385] enricomolinari,#ehealth [235] #ai,#fintech [193] #iot,#ai [177] enricomolinari,#iot [172] tictoc,enricomolinari [170] ww's,first [170] first,full [170] full,body [170] body,medical [170] medical,scannner Top Word Pairs in Tweet in G2:
[122] seguimiento,#ehealth [109] saludigital_es,#ehealth [76] #ehealth,#digitalhealth [67] #ehealth,#esalud [63] #ehealth,#mhealth [55] ghirardieugenio,seguimiento [50] #campussanofi,#ehealth [49] digital,health [46] #digitalhealth,#ehealth [46] #healthtech,#ehealth Top Word Pairs in Tweet in G3:
[308] enricomolinari,#ehealth [302] #healthtech,#ehealth [261] #ehealth,#digitalhealth [188] #digitalhealth,#robotics [147] #ai,#fintech [130] #ehealth,#mhealth [106] #iot,#ai [105] changing,way [105] way,see [105] see,prostheses Top Word Pairs in Tweet in G4:
[89] ehealth,ontario [82] ontario,health [72] matt,anderson [68] incompetence,corruption [65] fordnation,celliottability [60] over,again [51] ontario,over [43] #onhealth,crisis [42] lost,billion [38] anderson,ceo Top Word Pairs in Tweet in G5:
[5] cdcgov,cdcemergency [5] cdcemergency,cdc_ehealth [5] cdcgov,cdc_ehealth [4] puts,focus [4] focus,future [4] future,#ehealth [4] #ehealth,use [4] use,digital [4] digital,tools [4] tools,becoming Top Word Pairs in Tweet in G6:
[15] ehealth,inc [13] inc,ehth [10] follow,alainbertrandmu [10] alainbertrandmu,aetherionmu [10] aetherionmu,ab_innov [10] ab_innov,let's [10] let's,discuss [10] discuss,#ehealth [10] #ehealth,#digitalsignage [10] #digitalsignage,#travelapps Top Word Pairs in Tweet in G7:
[11] nergens,lees [11] lees,dat [11] dat,gebrek [11] gebrek,aan [11] aan,patiënteninformatie [11] patiënteninformatie,belangrijke [11] belangrijke,factor [11] factor,tot [11] tot,zover [11] zover,belang Top Word Pairs in Tweet in G8:
[76] #ehealth,#digitalhealth [72] #healthtech,#ehealth [70] #digitalhealth,#robotics [63] company,changing [63] changing,way [63] way,see [63] see,prostheses [60] prostheses,#healthtech [53] healthmarkets4u,company [53] #robotics,#artificialintelligen Top Word Pairs in Tweet in G9:
[31] thanx,following [31] following,wish [31] wish,good [31] good,discussion [31] discussion,#digitaltransformation [31] #digitaltransformation,#bigdata [30] #bigdata,#ehealth [27] #ehealth,#management [13] compugroup,medical [13] epsilog,sas Top Word Pairs in Tweet in G10:
[9] celebrating,20 [9] 20,years [9] anniversary,theme [9] theme,issue [8] years,#openaccess [8] #openaccess,introducing [8] introducing,jmir [8] jmir,anniversary [8] issue,containing [8] containing,amazing Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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 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: