The graph represents a network of 3,505 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 Monday, 28 January 2019 at 19:11 UTC.
The requested start date was Monday, 28 January 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 4-day, 9-hour, 28-minute period from Wednesday, 23 January 2019 at 11:14 UTC to Sunday, 27 January 2019 at 20:42 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 : 3505
Unique Edges : 5819
Edges With Duplicates : 2713
Total Edges : 8532
Number of Edge Types : 3
Mentions : 7393
Tweet : 980
Replies to : 159
Self-Loops : 980
Reciprocated Vertex Pair Ratio : 0.0355623617491918
Reciprocated Edge Ratio : 0.0686822214919487
Connected Components : 265
Single-Vertex Connected Components : 138
Maximum Vertices in a Connected Component : 2971
Maximum Edges in a Connected Component : 7908
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.401302
Graph Density : 0.000495541268507481
Modularity : 0.602788
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[445] onmedic,ehealth [392] ehealth,pharma [193] healthtech,ehealth [124] surgery,software [124] software,uses [124] uses,mixedreality [124] mixedreality,minimize [124] minimize,errors [124] errors,during [124] during,operation Top Word Pairs in Tweet in G1:
[24] ehealth,healthit [22] hcwb,healthcarewithoutborders [22] healthcarewithoutborders,healthcarewithoutborder [22] healthcarewithoutborder,healthcarebeyondborders [22] healthcarebeyondborders,hcbb [22] healthit,emr [22] emr,ehr [21] hcbb,medical [20] medical,healthit [19] amr,wgs Top Word Pairs in Tweet in G2:
[42] ehealth,week [33] van,ehealth [28] ehw19,ehealth [28] e,healthweek [27] ehealth,ehw19 [26] e,health [25] zorg,ehealth [24] van,zorg [23] wil,je [21] gesprek,met Top Word Pairs in Tweet in G3:
[45] onmedic,ehealth [40] mental,health [40] ehealth,pharma [33] eu,citizens [29] electronic,health [29] health,records [27] new,eu_h2020 [27] eu_h2020,project [25] keithgrimes,ehealth_eu [24] 52,eu Top Word Pairs in Tweet in G4:
[92] healthtech,ehealth [62] enricomolinari,ehealth [53] ehealth,digitalhealth [51] ar,vr [48] surgery,software [48] software,uses [48] uses,mixedreality [48] mixedreality,minimize [48] minimize,errors [48] errors,during Top Word Pairs in Tweet in G5:
[27] ehealth,chatbot [15] onmedic,ehealth [13] cdc_ehealth,cdcgov [12] ehealth,pharma [11] hope,someone [11] someone,cdc_ehealth [11] cdcgov,cdcflu [11] cdcflu,sees [11] sees,huge [11] huge,public Top Word Pairs in Tweet in G6:
[49] ehealth,mhealth [33] mhealth,ehealth [24] digitalhealth,ehealth [17] digital,health [14] mhealth,ai [13] digitalhealth,healthtech [11] technology,ehealth [11] platinum,hospital [11] mentalhealth,ehealth [11] healthtech,ehealth Top Word Pairs in Tweet in G7:
[371] onmedic,ehealth [326] ehealth,pharma [71] ehealth,onmedic [71] onmedic,pharma [43] vota,rehand [43] rehand,mejor [43] mejor,app [43] app,sanitaria [43] sanitaria,2018 [43] 2018,ehealth Top Word Pairs in Tweet in G8:
[41] ehealth,ehth [36] ehealth,inc [14] inc,ehth [13] chardan,capital [10] common,stock [9] price,target [9] offering,common [9] buy,rating [8] cantor,fitzgerald [8] 60,00 Top Word Pairs in Tweet in G9:
[13] jeder,vierte [13] vierte,deutsche [13] deutsche,offen [13] offen,telemedizin [13] telemedizin,knapp [13] knapp,1 [13] 1,3 [13] 3,möchten [13] möchten,solche [13] solche,ehealth Top Word Pairs in Tweet in G10:
[78] first,eu [77] make,easy [77] easy,possible [77] possible,people [77] people,treatment [77] treatment,medicines [77] medicines,abroad [77] abroad,eu [77] eu,first [76] eu_commission,make Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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