The graph represents a network of 2,664 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, 30 May 2022 at 05:32 UTC.
The requested start date was Monday, 30 May 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, 10-hour, 59-minute period from Saturday, 21 May 2022 at 00:20 UTC to Sunday, 29 May 2022 at 11:19 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 : 2664
Unique Edges : 2827
Edges With Duplicates : 14297
Total Edges : 17124
Number of Edge Types : 5
Retweet : 5091
MentionsInRetweet : 6263
Tweet : 816
Mentions : 4740
Replies to : 214
Self-Loops : 1793
Reciprocated Vertex Pair Ratio : 0.0458279290964116
Reciprocated Edge Ratio : 0.0876395204630012
Connected Components : 191
Single-Vertex Connected Components : 100
Maximum Vertices in a Connected Component : 2201
Maximum Edges in a Connected Component : 16408
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.084309
Graph Density : 0.000681962473175391
Modularity : 0.229614
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,664 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, 30 May 2022 at 05:32 UTC.
The requested start date was Monday, 30 May 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, 10-hour, 59-minute period from Saturday, 21 May 2022 at 00:20 UTC to Sunday, 29 May 2022 at 11:19 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:
[3062] #cx,#women [3050] #datascientist,#mwc22 [3023] #women,#ehealth [3016] #mwc22,#ai [3001] #ehealth,#ces2023 [2623] #digitalhealth,#datascientist [2571] #ai,#healthtech [2372] #iiot,#cx [2367] #healthtech,#ml [2354] #ml,#iiot Top Word Pairs in Tweet in G1:
[2706] #cx,#women [2694] #datascientist,#mwc22 [2679] #women,#ehealth [2666] #mwc22,#ai [2662] #ehealth,#ces2023 [2317] #digitalhealth,#datascientist [2272] #ai,#healthtech [2106] #iiot,#cx [2102] #healthtech,#ml [2093] #ml,#iiot Top Word Pairs in Tweet in G2:
[212] #cx,#women [211] #datascientist,#mwc22 [207] #mwc22,#ai [203] #women,#ehealth [199] #ehealth,#ces2023 [179] #digitalhealth,#datascientist [174] #ai,#healthtech [152] chidambara09,#digitalhealth [149] #iiot,#cx [148] #healthtech,#ml Top Word Pairs in Tweet in G3:
[136] #datascientist,#mwc22 [135] #cx,#women [134] #mwc22,#ai [132] #women,#ehealth [131] #ehealth,#ces2023 [118] #digitalhealth,#datascientist [116] #ai,#healthtech [115] #ehealth,#healthcare [114] #healthcareit,#ehealth [113] chidambara09,#digitalhealth Top Word Pairs in Tweet in G4:
[37] cdc_ehealth,cdcglobal [21] cdcgov,cdcdirector [20] cdcdirector,cdc_ehealth [19] govuganda,cdc_ehealth [19] cdcglobal,parliament_ug [16] parliament_ug,standupuganda [16] #monkeypox,#moneypox [16] #moneypox,sponsored [16] sponsored,cdcgov [16] cdc_ehealth,brought Top Word Pairs in Tweet in G5:
[14] mental,health [14] 2019,vienna [14] vienna,ranked [14] ranked,first [14] first,smart [14] smart,city [14] city,strategy [14] strategy,index [14] index,austrian [14] austrian,capital Top Word Pairs in Tweet in G6:
[32] remember,ehealth [32] ehealth,ontario [32] ontario,8b [32] 8b,tax [32] tax,payer [32] payer,money [32] money,vanished [32] vanished,under [32] under,liberals [32] liberals,conservatives Top Word Pairs in Tweet in G7:
[13] 62,3m [13] 3m,ehealth [13] ehealth,sask [13] sask,upgrades [13] upgrades,enough [13] experts,warn [12] enough,cybersecurity [12] cybersecurity,experts [7] kaskela,law [7] law,llc Top Word Pairs in Tweet in G8:
[9] bhojrsingh,#covid19 [6] #covid19,mystery [6] mystery,disease [6] disease,co [6] co,uuz37w9yic [6] uuz37w9yic,planned [6] planned,pandemic [6] pandemic,co [6] co,rldhuvrond [6] rldhuvrond,created Top Word Pairs in Tweet in G9:
[19] jcwemyss,mark_bagnell [11] #ehealth4all,jcwemyss [9] congratulations,#ncis [9] #ncis,team [9] went,live [9] ehealth,ireland [8] mark_bagnell,loretto_grogan [8] #ehealth,inviting [8] inviting,applications [8] find,job Top Word Pairs in Tweet in G10:
[11] #horizoneu,faith [6] ehealth,home [5] shout,euregistry [5] euregistry,making [5] making,video [5] video,featuring [5] featuring,#horizoneu [5] faith,partner [5] partner,dblue_it [5] dblue_it,faith 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 G6:
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:
Top Mentioned in G4:
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: