The graph represents a network of 5,347 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 September 2020 at 05:01 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 10-day, 19-hour, 44-minute period from Monday, 14 September 2020 at 19:05 UTC to Friday, 25 September 2020 at 14:50 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 : 5347
Unique Edges : 6465
Edges With Duplicates : 13029
Total Edges : 19494
Number of Edge Types : 5
Retweet : 4718
MentionsInRetweet : 8260
Tweet : 1795
Replies to : 430
Mentions : 4291
Self-Loops : 1882
Reciprocated Vertex Pair Ratio : 0.0380971993410214
Reciprocated Edge Ratio : 0.0733981352906169
Connected Components : 402
Single-Vertex Connected Components : 206
Maximum Vertices in a Connected Component : 3982
Maximum Edges in a Connected Component : 16948
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.102054
Graph Density : 0.000352701701329177
Modularity : 0.455306
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 5,347 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 September 2020 at 05:01 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 10-day, 19-hour, 44-minute period from Monday, 14 September 2020 at 19:05 UTC to Friday, 25 September 2020 at 14:50 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:
[321] #ehealth,#health [297] cdcgov,cdc_ehealth [287] seguimiento,#ehealth [234] jali_cat,cdcdirector [233] στουρνάρα,για [224] enricomolinari,#ehealth [221] cdcdirector,absolute [221] absolute,deep [221] deep,state [221] state,swamp Top Word Pairs in Tweet in G1:
[287] seguimiento,#ehealth [269] #ehealth,#health [131] #health,#healthcareit [125] #healthcareit,#ehealth [119] ghirardieugenio,seguimiento [117] #hospital,#health [114] covid,19 [114] #ehealth,#healthcare [95] #doctors,#hospital [86] digital,health Top Word Pairs in Tweet in G2:
[213] enricomolinari,#ehealth [186] wef,enricomolinari [139] #ai,#iot [123] ageing,people [114] intengineering,enricomolinari [90] #ehealth,#ai [86] #ehealth,#medtech [79] enricomolinari,special [73] #medtech,#iot [71] special,bar Top Word Pairs in Tweet in G3:
[294] cdcgov,cdc_ehealth [234] jali_cat,cdcdirector [221] cdcdirector,absolute [221] absolute,deep [221] deep,state [221] state,swamp [221] swamp,creature [221] creature,entire [221] entire,cdcgov [221] 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:
[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 G6:
[13] ehealth,forum [11] covid,19 [11] στουρνάρα,για [11] forum,2014 [8] #ehealth,#health [8] ehealth,africa [8] ehealth,ehth [8] αθώα,η [7] ehealth,inc [7] η,λίνα Top Word Pairs in Tweet in G7:
[180] προ,ολίγου [180] ολίγου,το [180] το,δικαστήριο [180] δικαστήριο,ομοφώνως [180] ομοφώνως,έκρινε [180] έκρινε,αθωα [180] αθωα,την [180] την,κα [180] κα,λίνα [180] λίνα,νικολοπούλου Top Word Pairs in Tweet in G8:
[50] anniversary,ehealth_africa [45] ev_castle,adothompson [39] happy,10 [39] 10,years [39] years,anniversary [39] ehealth_africa,kudos [39] kudos,ev_castle [39] adothompson,stakeholders [38] komputarist,happy [38] stakeholders,abl Top Word Pairs in Tweet in G9:
[63] digital,health [62] online,digital [62] health,world [62] world,congress [62] congress,2020 [62] 2020,virtual [62] virtual,conference [62] conference,nov [62] nov,26 [62] 26,27 Top Word Pairs in Tweet in G10:
[60] rchtqihub,plymuni [58] epic_ehealth,mymhealthltd [58] mymhealthltd,rchtqihub [28] nursingpunc18,epic_ehealth [19] plymuni,thanks [15] health,care [13] mental,health [13] technology,outpatient [12] outpatient,mental [12] simon,leigh Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 G8:
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:
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Top Mentioned in G5:
Top Mentioned in G6:
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: