The graph represents a network of 3,550 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, 11 February 2020 at 01:11 UTC.
The requested start date was Tuesday, 11 February 2020 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 5-day, 20-hour, 44-minute period from Tuesday, 04 February 2020 at 15:49 UTC to Monday, 10 February 2020 at 12:33 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 : 3550
Unique Edges : 5683
Edges With Duplicates : 3107
Total Edges : 8790
Number of Edge Types : 4
MentionsInRetweet : 5469
Tweet : 957
Mentions : 2202
Replies to : 162
Self-Loops : 957
Reciprocated Vertex Pair Ratio : 0.0330005077001185
Reciprocated Edge Ratio : 0.0638925294888598
Connected Components : 291
Single-Vertex Connected Components : 161
Maximum Vertices in a Connected Component : 2858
Maximum Edges in a Connected Component : 8013
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.187223
Graph Density : 0.000484484818179293
Modularity : 0.591865
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 3,550 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, 11 February 2020 at 01:11 UTC.
The requested start date was Tuesday, 11 February 2020 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 5-day, 20-hour, 44-minute period from Tuesday, 04 February 2020 at 15:49 UTC to Monday, 10 February 2020 at 12:33 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:
[322] #healthtech,#ehealth [265] enricomolinari,#ehealth [201] ty,wef [201] wef,enricomolinari [193] #ehealth,#digitalhealth [150] ty,quicktake [150] #ehealth,#medtech [144] digital,health [144] congreso,virtual [140] #digitalhealth,#robotics Top Word Pairs in Tweet in G1:
[240] enricomolinari,#ehealth [190] ty,wef [190] wef,enricomolinari [155] #healthtech,#ehealth [126] ty,quicktake [124] #ehealth,#digitalhealth [121] #digitalhealth,#robotics [116] company,changing [116] changing,way [116] way,see Top Word Pairs in Tweet in G2:
[58] #digitalhealth,#ehealth [43] #ehealth,#health [40] #ehealth,#healthit [37] digital,health [27] ghirardieugenio,seguimiento [27] seguimiento,#ehealth [25] #ehealth,#digitalhealth [23] #ehealth,#mhealth [22] #health,#ui [22] thanx,following Top Word Pairs in Tweet in G3:
[141] congreso,virtual [111] invita,congreso [98] saludigital_es,#ehealth [82] doctora,virginia [82] virginia,bellido [82] bellido,virbellido [82] virbellido,hospital [82] cruces,bilbao [80] msd_es,doctora [75] seguimiento,#ehealth Top Word Pairs in Tweet in G4:
[37] cdcemergency,cdc_ehealth [33] cdcgov,cdcemergency [25] cdc_ehealth,cdcflu [14] cdc_ehealth,cdcgov [13] cdcdirector,surgeon_general [13] surgeon_general,us_fda [13] us_fda,cdc_ehealth [13] cdcflu,cdcdirector [12] vapingit,cdcdirector [11] cdcgov,cdc_ehealth Top Word Pairs in Tweet in G5:
[18] ehealth,market [18] touch,16 [17] market,touch [14] five,years [11] online,pharmacies [10] #ehealthmonitoring,#interreg [10] #interreg,#greece [10] #greece,#bulgaria [10] pharmacies,lead [10] lead,ehealth Top Word Pairs in Tweet in G6:
[132] #healthtech,#ehealth [98] #healthcare,#healthtech [95] #ehealth,#iot [95] #iot,#industry40 [90] team,scientists [90] scientists,use [90] use,#3dprinting [90] #3dprinting,technology [90] technology,produce [90] produce,human Top Word Pairs in Tweet in G7:
[34] #worldcancerday,eu_commission [34] eu_commission,launching [34] launching,inclusive [34] inclusive,eu [34] eu,wide [34] wide,discussions [34] discussions,#eucancerplan [33] thierrybreton,#worldcancerday [32] #eucancerplan,ªðÿ [32] ªðÿ,º Top Word Pairs in Tweet in G8:
[63] digital,health [60] health,world [60] world,congress [60] book,london [60] london,#bigdata [57] congress,2020 [57] 2020,book [42] digitalhealth_1,digital [18] #bigdata,#digitalhealth [18] #digitalhealth,#ehealth Top Word Pairs in Tweet in G9:
[64] digital,academy [33] march,11 [32] agead,next [32] next,digital [32] academy,forum [32] forum,afternoon [32] afternoon,march [32] 11,onmsd [32] onmsd,collaboration [32] collaboration,digital Top Word Pairs in Tweet in G10:
[15] kan,jij [13] #set,regeling [13] regeling,uitgebreid [13] uitgebreid,februari [13] februari,2020 [13] 2020,met [13] subsidie,kan [13] jij,zorgaanbieder [13] zorgaanbieder,visie [13] visie,vormen Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: