The graph represents a network of 5,315 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, 05 October 2020 at 05:03 UTC.
The requested start date was Monday, 05 October 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 13-day, 1-hour, 23-minute period from Monday, 21 September 2020 at 13:26 UTC to Sunday, 04 October 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 : 5315
Unique Edges : 6052
Edges With Duplicates : 13676
Total Edges : 19728
Number of Edge Types : 5
Retweet : 4560
MentionsInRetweet : 7604
Tweet : 1889
Mentions : 5204
Replies to : 471
Self-Loops : 1959
Reciprocated Vertex Pair Ratio : 0.0402065253213226
Reciprocated Edge Ratio : 0.0773048896398775
Connected Components : 377
Single-Vertex Connected Components : 206
Maximum Vertices in a Connected Component : 4026
Maximum Edges in a Connected Component : 17431
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.132105
Graph Density : 0.000335258114050073
Modularity : 0.427926
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 5,315 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, 05 October 2020 at 05:03 UTC.
The requested start date was Monday, 05 October 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 13-day, 1-hour, 23-minute period from Monday, 21 September 2020 at 13:26 UTC to Sunday, 04 October 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:
[475] #ehealth,#health [312] seguimiento,#ehealth [250] covid,19 [239] στουρνάρα,για [213] cdcgov,cdc_ehealth [208] δεν,παρέστη [199] νικολοπούλου,στουρνάρα [197] λίνα,νικολοπούλου [187] το,δημόσιο [185] προ,ολίγου Top Word Pairs in Tweet in G1:
[307] seguimiento,#ehealth [282] #ehealth,#health [129] covid,19 [127] ghirardieugenio,seguimiento [90] #healthcareit,#ehealth [89] #health,#healthcareit [86] #ehealth,#healthcare [81] #digitalhealth,#ehealth [80] #doctors,#hospital [78] #hospital,#health Top Word Pairs in Tweet in G2:
[171] enricomolinari,#ehealth [164] #ehealth,#health [117] ageing,people [104] intengineering,enricomolinari [100] #ehealth,#marketing [80] #ehealth,#medtech [74] enricomolinari,special [66] #iot,#ehealth [66] #medtech,#iot [64] special,bar Top Word Pairs in Tweet in G3:
[150] cdcgov,cdc_ehealth [114] jali_cat,cdcdirector [108] cdcdirector,absolute [108] absolute,deep [108] deep,state [108] state,swamp [108] swamp,creature [108] creature,entire [108] entire,cdcgov [108] 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:
[13] npo_bulgaria,ehtel_ehealth [13] proposal,connect [13] connect,europe [13] europe,digitally [13] digitally,apply [13] apply,36 [13] 36,million [13] million,#ceftelecom [13] #ceftelecom,call [13] call,#bris Top Word Pairs in Tweet in G6:
[47] #uhc,#covid19ph [47] #covid19ph,#covid19 [21] covid,19 [16] hon,velasco [16] hon,fabic [15] ehealth,forum [13] health,care [13] στουρνάρα,για [13] forum,2014 [12] ehealth,ehth Top Word Pairs in Tweet in G7:
[184] προ,ολίγου [184] ολίγου,το [184] το,δικαστήριο [184] δικαστήριο,ομοφώνως [184] ομοφώνως,έκρινε [184] έκρινε,αθωα [184] αθωα,την [184] την,κα [184] κα,λίνα [184] λίνα,νικολοπούλου Top Word Pairs in Tweet in G8:
[73] online,digital [73] digital,health [73] health,world [73] world,congress [73] congress,2020 [73] 2020,virtual [73] virtual,conference [73] conference,nov [73] nov,26 [73] 26,27 Top Word Pairs in Tweet in G9:
[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 G10:
[23] ehealth,ontario [18] lost,billion [17] ontario,lost [17] healthcare,managers [17] nurse,allowed [16] two,full [16] full,time [15] time,jobs [14] people,behind [13] jobs,selected 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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Top Tweeters in G10: