The graph represents a network of 5,246 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, 29 September 2020 at 05:02 UTC.
The requested start date was Monday, 28 September 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 12-day, 8-hour, 22-minute period from Tuesday, 15 September 2020 at 15:25 UTC to Sunday, 27 September 2020 at 23:47 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 : 5246
Unique Edges : 6331
Edges With Duplicates : 13999
Total Edges : 20330
Number of Edge Types : 5
Retweet : 4681
MentionsInRetweet : 8079
Tweet : 1778
Mentions : 5293
Replies to : 499
Self-Loops : 1857
Reciprocated Vertex Pair Ratio : 0.0423008292222106
Reciprocated Edge Ratio : 0.0811681772406848
Connected Components : 396
Single-Vertex Connected Components : 207
Maximum Vertices in a Connected Component : 3909
Maximum Edges in a Connected Component : 17855
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.228619
Graph Density : 0.000360890516429604
Modularity : 0.433252
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 5,246 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, 29 September 2020 at 05:02 UTC.
The requested start date was Monday, 28 September 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 12-day, 8-hour, 22-minute period from Tuesday, 15 September 2020 at 15:25 UTC to Sunday, 27 September 2020 at 23:47 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:
[345] #ehealth,#health [283] seguimiento,#ehealth [271] cdcgov,cdc_ehealth [237] στουρνάρα,για [215] enricomolinari,#ehealth [211] covid,19 [208] δεν,παρέστη [195] λίνα,νικολοπούλου [195] νικολοπούλου,στουρνάρα [188] #ai,#iot Top Word Pairs in Tweet in G1:
[283] seguimiento,#ehealth [282] #ehealth,#health [141] digital,health [127] #healthcareit,#ehealth [125] #health,#healthcareit [123] covid,19 [117] ghirardieugenio,seguimiento [113] #ehealth,#healthcare [106] #ehealth,#femtech [105] #hospital,#health Top Word Pairs in Tweet in G2:
[202] enricomolinari,#ehealth [148] wef,enricomolinari [123] ageing,people [113] intengineering,enricomolinari [113] #ai,#iot [87] #ehealth,#ai [85] #ehealth,#medtech [79] enricomolinari,special [73] #medtech,#iot [71] special,bar Top Word Pairs in Tweet in G3:
[211] cdcgov,cdc_ehealth [151] jali_cat,cdcdirector [142] cdcdirector,absolute [142] absolute,deep [142] deep,state [142] state,swamp [142] swamp,creature [142] creature,entire [142] entire,cdcgov [142] cdc_ehealth,needs Top Word Pairs in Tweet in G4:
[205] δεν,παρέστη [181] το,δημόσιο [139] του,γ [129] δημόσιο,δεν [129] παρέστη,να [129] να,υπερασπιστεί [100] αθώωση,με [98] με,συνοπτικές [98] συνοπτικές,διαδικασίες [97] απίστευτο,το Top Word Pairs in Tweet in G5:
[15] ehealth,forum [13] στουρνάρα,για [13] forum,2014 [12] covid,19 [10] αθώα,η [9] η,λίνα [9] λίνα,νικολοπούλου [9] νικολοπούλου,στουρνάρα [9] για,το [8] ehealth,africa Top Word Pairs in Tweet in G6:
[12] proposal,connect [12] connect,europe [12] europe,digitally [12] digitally,apply [12] apply,36 [12] 36,million [12] million,#ceftelecom [12] #ceftelecom,call [12] call,#bris [11] inea_eu,proposal Top Word Pairs in Tweet in G7:
[182] προ,ολίγου [182] ολίγου,το [182] το,δικαστήριο [182] δικαστήριο,ομοφώνως [182] ομοφώνως,έκρινε [182] έκρινε,αθωα [182] αθωα,την [182] την,κα [182] κα,λίνα [182] λίνα,νικολοπούλου Top Word Pairs in Tweet in G8:
[54] anniversary,ehealth_africa [46] ev_castle,adothompson [40] happy,10 [40] 10,years [40] years,anniversary [40] ehealth_africa,kudos [40] kudos,ev_castle [40] adothompson,stakeholders [39] komputarist,happy [39] stakeholders,abl Top Word Pairs in Tweet in G9:
[60] rchtqihub,plymuni [58] epic_ehealth,mymhealthltd [58] mymhealthltd,rchtqihub [28] nursingpunc18,epic_ehealth [19] plymuni,thanks [16] health,care [13] student,nurses [13] technology,outpatient [12] nurses,key [12] key,transforming Top Word Pairs in Tweet in G10:
[7] 58,tests [6] epd,projectathon [6] 50,fph [6] fph,punkte [5] epr,projectathon [5] ja,insbesondere [5] insbesondere,älteren [5] älteren,menschen [5] menschen,benötigen [5] benötigen,führerschein Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 G10: