The graph represents a network of 2,715 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, 06 June 2022 at 05:34 UTC.
The requested start date was Monday, 06 June 2022 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 8-day, 1-hour, 29-minute period from Thursday, 26 May 2022 at 09:45 UTC to Friday, 03 June 2022 at 11:15 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 : 2715
Unique Edges : 3023
Edges With Duplicates : 13824
Total Edges : 16847
Number of Edge Types : 5
Retweet : 5176
MentionsInRetweet : 6517
Mentions : 4029
Tweet : 880
Replies to : 245
Self-Loops : 1700
Reciprocated Vertex Pair Ratio : 0.049274177059906
Reciprocated Edge Ratio : 0.0939204988308652
Connected Components : 221
Single-Vertex Connected Components : 129
Maximum Vertices in a Connected Component : 2258
Maximum Edges in a Connected Component : 16226
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.773415
Graph Density : 0.000696477306809654
Modularity : 0.247295
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,715 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, 06 June 2022 at 05:34 UTC.
The requested start date was Monday, 06 June 2022 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 8-day, 1-hour, 29-minute period from Thursday, 26 May 2022 at 09:45 UTC to Friday, 03 June 2022 at 11:15 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:
[2579] #cx,#women [2568] #datascientist,#mwc22 [2564] #women,#ehealth [2529] #ehealth,#ces2023 [2508] #mwc22,#ai [1654] #digitalhealth,#datascientist [1598] #ai,#healthtech [1398] #healthtech,#ml [1389] #iiot,#cx [1379] #ml,#iiot Top Word Pairs in Tweet in G1:
[2215] #cx,#women [2208] #datascientist,#mwc22 [2204] #women,#ehealth [2173] #ehealth,#ces2023 [2164] #mwc22,#ai [1453] #digitalhealth,#datascientist [1403] #ai,#healthtech [1226] #healthtech,#ml [1220] #iiot,#cx [1212] #ml,#iiot Top Word Pairs in Tweet in G2:
[161] #datascientist,#mwc22 [161] #cx,#women [158] #women,#ehealth [156] #mwc22,#ai [155] #ehealth,#ces2023 [93] #digitalhealth,#datascientist [90] #ai,#healthtech [89] #ces2023,#finâ [79] chidambara09,#digitalhealth [76] #healthtech,#ml Top Word Pairs in Tweet in G3:
[202] #cx,#women [201] #women,#ehealth [200] #ehealth,#ces2023 [198] #datascientist,#mwc22 [187] #mwc22,#ai [110] #ces2023,#finâ [108] #digitalhealth,#datascientist [105] #ai,#healthtech [100] digital,health [100] chidambara09,#digitalhealth Top Word Pairs in Tweet in G4:
[26] cdc_ehealth,cdcglobal [22] govuganda,cdc_ehealth [22] parliament_ug,standupuganda [19] uahpassociation,mcop_u75 [19] mcop_u75,gacopaworld [19] gacopaworld,govuganda [19] cdcglobal,parliament_ug [16] wmungadi1,uahpassociation [15] nurses_union,ugandamedical [15] standupuganda,theumaofficial Top Word Pairs in Tweet in G5:
[86] ehealth,ontario [85] 8b,tax [85] money,vanished [85] vanished,under [85] under,liberals [84] remember,ehealth [84] ontario,8b [83] liberals,conservatives [83] conservatives,ontarians [83] ontarians,still Top Word Pairs in Tweet in G6:
[24] î,î [15] ehealth,inc [10] ãƒ,ム[8] 62,3m [8] 3m,ehealth [8] ehealth,sask [8] sask,upgrades [8] upgrades,enough [8] experts,warn [8] ç,ç Top Word Pairs in Tweet in G7:
[13] #techforgood,#ehealth [13] #ehealth,#mhealth [13] #mhealth,#digitalhealth [12] #healthtech,#hitsm [11] #digitalisation,#mhealth [11] #mhealth,#ehealth [9] #ehealth,#healthtech [8] #digitalhealthcare,#digitaltransformation [7] #digitaltransformation,#healthit [7] #healthit,#digitalisation Top Word Pairs in Tweet in G8:
[16] jcwemyss,mark_bagnell [14] ehealth,ireland [13] check,cross [13] cross,border [13] border,ehealth [13] ehealth,services [13] services,myhealth [13] myhealth,eu [13] eu,webpage [13] webpage,ehealth Top Word Pairs in Tweet in G9:
[9] antypas,kantypas [9] kantypas,sintefdigital [9] sintefdigital,ehealthnorway [6] webinar,june [5] better,health [5] konstantinos,antypas [5] ehealthnorway,presenting [5] presenting,#betterehealth [5] #betterehealth,project [5] project,tekna Top Word Pairs in Tweet in G10:
[14] ehealth,talks [14] barcelona,aging [14] aging,living [14] living,collaboratory [11] talks,barcelona [11] collaboratory,participatory [11] participatory,research [11] research,innovation [11] innovation,ecosystem [11] centre,colâ Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G10: