The graph represents a network of 4,429 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, 17 August 2020 at 05:06 UTC.
The requested start date was Monday, 17 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 10-day, 10-hour, 27-minute period from Tuesday, 04 August 2020 at 11:12 UTC to Friday, 14 August 2020 at 21:39 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 : 4429
Unique Edges : 4797
Edges With Duplicates : 14255
Total Edges : 19052
Number of Edge Types : 5
Retweet : 5368
MentionsInRetweet : 8827
Mentions : 3201
Tweet : 1415
Replies to : 241
Self-Loops : 1486
Reciprocated Vertex Pair Ratio : 0.031360201511335
Reciprocated Edge Ratio : 0.0608132861155208
Connected Components : 306
Single-Vertex Connected Components : 162
Maximum Vertices in a Connected Component : 3690
Maximum Edges in a Connected Component : 17851
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.876829
Graph Density : 0.000417558740199429
Modularity : 0.356351
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 4,429 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, 17 August 2020 at 05:06 UTC.
The requested start date was Monday, 17 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 10-day, 10-hour, 27-minute period from Tuesday, 04 August 2020 at 11:12 UTC to Friday, 14 August 2020 at 21:39 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:
[623] wef,enricomolinari [528] ty,wef [382] #fintech,#finserv [298] enricomolinari,#robotics [297] #ehealth,#health [274] seguimiento,#ehealth [254] enricomolinari,#happyweekend [250] #happyweekend,guy [250] guy,hexapod [250] hexapod,walking Top Word Pairs in Tweet in G1:
[589] wef,enricomolinari [498] ty,wef [361] #fintech,#finserv [264] enricomolinari,#robotics [235] enricomolinari,#happyweekend [227] #happyweekend,guy [227] guy,hexapod [227] hexapod,walking [227] walking,machine [226] #robotics,#ehealth Top Word Pairs in Tweet in G2:
[271] seguimiento,#ehealth [262] #ehealth,#health [116] ghirardieugenio,seguimiento [105] covid,19 [77] #digitalhealth,#ehealth [67] digital,health [58] #health,#healthcare [41] #ehealth,#healthit [37] #ehealth,#digital [37] #ehealth,#femtech Top Word Pairs in Tweet in G3:
[37] cdcemergency,cdc_ehealth [36] cdcgov,cdcemergency [24] cdcgov,cdc_ehealth [21] covid,19 [11] wef,enricomolinari [11] cdc_ehealth,cdcglobal [11] cdc_ehealth,cdcdirector [10] enricomolinari,#robotics [10] ty,wef [9] ehealth,connect Top Word Pairs in Tweet in G4:
[30] consalud_es,#ehealth [24] #ehealth,crean [23] deje,participar [23] msd,hif [23] hif,2020 [23] 2020,awards [23] awards,concurso [23] concurso,creado [23] creado,reconocer [23] reconocer,impulsar Top Word Pairs in Tweet in G5:
[19] ehealth,inc [10] follow,alainbertrandmu [10] alainbertrandmu,pangeachallenge [10] pangeachallenge,ab_innov [10] ab_innov,let's [10] let's,discuss [10] discuss,#cocreation [10] #cocreation,#thefuturewewant [10] #thefuturewewant,#ehealth [10] #ehealth,#digitalsignage Top Word Pairs in Tweet in G6:
[66] ty,uniladtech [66] uniladtech,enricomolinari [57] enricomolinari,isreal [57] isreal,scientists' [57] scientists',found [57] found,way [57] way,#3dprinting [57] #3dprinting,heart [57] heart,using [57] using,patient's Top Word Pairs in Tweet in G7:
[125] #stpinews,#stpimedtech [125] #stpimedtech,transform [125] transform,innovation [125] innovation,#medielectronics [125] #medielectronics,#healthinformatics [125] #healthinformatics,sector [125] sector,accelerating [124] omkar_raii,#stpinews Top Word Pairs in Tweet in G8:
[24] #ehealth,#healthit [23] #digitalhealth,#ehealth [22] #healthit,#medtech [20] #medtech,#healthtech [16] primary,care [10] #healthtech,jmirpub [9] series,ehealth [9] ehealth,primary [7] evaluate,ehealth [7] digital,health Top Word Pairs in Tweet in G9:
[57] iitdelhi,developed [57] developed,innovative [57] innovative,device [57] device,corona [57] corona,cleaner' [57] cleaner',help [57] help,delhi [57] delhi,cops [57] cops,#fightagainstcorona [57] #fightagainstcorona,device Top Word Pairs in Tweet in G10:
[3] ehealth,tracks [3] tracks,medicare [3] medicare,trends [3] trends,updates [3] updates,follow [3] follow,date [3] date,reports [3] reports,data [3] last,week [3] week,ehealth Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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 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 G9:
Top Tweeters in G10: