The graph represents a network of 2,966 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, 13 June 2022 at 05:30 UTC.
The requested start date was Monday, 13 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 9-day, 2-hour, 41-minute period from Friday, 03 June 2022 at 08:00 UTC to Sunday, 12 June 2022 at 10:42 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 : 2966
Unique Edges : 3185
Edges With Duplicates : 14421
Total Edges : 17606
Number of Edge Types : 5
Mentions : 4134
Retweet : 5207
MentionsInRetweet : 7118
Tweet : 935
Replies to : 212
Self-Loops : 1715
Reciprocated Vertex Pair Ratio : 0.0389634601043997
Reciprocated Edge Ratio : 0.0750044859142293
Connected Components : 180
Single-Vertex Connected Components : 81
Maximum Vertices in a Connected Component : 2470
Maximum Edges in a Connected Component : 16840
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.012754
Graph Density : 0.000633713849712139
Modularity : 0.267878
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,966 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, 13 June 2022 at 05:30 UTC.
The requested start date was Monday, 13 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 9-day, 2-hour, 41-minute period from Friday, 03 June 2022 at 08:00 UTC to Sunday, 12 June 2022 at 10:42 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:
[2444] #cx,#women [2440] #datascientist,#mwc22 [2415] #women,#ehealth [2411] #healthtech,#datascientist [2406] #mwc22,#ai [2361] #ehealth,#ces2023 [2321] #digitalhealth,#cx [2301] #des2022,#digitalhealth [2273] #ai,#des2022 [1644] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[302] #datascientist,#mwc22 [302] #cx,#women [297] #healthtech,#datascientist [294] #women,#ehealth [294] #mwc22,#ai [285] #digitalhealth,#cx [281] #des2022,#digitalhealth [277] #ehealth,#ces2023 [274] #ai,#des2022 [271] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[2135] #cx,#women [2131] #datascientist,#mwc22 [2114] #women,#ehealth [2107] #healthtech,#datascientist [2105] #mwc22,#ai [2077] #ehealth,#ces2023 [2030] #digitalhealth,#cx [2014] #des2022,#digitalhealth [1993] #ai,#des2022 [1366] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[33] dailymonitor,nbstv [33] nbstv,ntvuganda [33] ntvuganda,parliament_ug [33] parliament_ug,solomonserwanjj [21] govuganda,gcicuganda [21] gcicuganda,theumaofficial [21] cdc_ehealth,cdcglobal [20] wmungadi1,dailymonitor [18] solomonserwanjj,standupuganda [15] solomonserwanjj,govuganda Top Word Pairs in Tweet in G4:
[77] know,#aimedis [77] #aimedis,health [77] health,city [77] city,allow [77] allow,users [77] users,connect [77] connect,interact [77] interact,rehabilitate [77] rehabilitate,provide [77] provide,treatment Top Word Pairs in Tweet in G5:
[17] sap,coe [15] #ehealth4all,jcwemyss [12] #ehealth,inviting [12] inviting,applications [12] a2i,hids [9] find,job [9] ehealth,ehealth_eu [8] two,years [8] years,ago [8] ago,#covid19 Top Word Pairs in Tweet in G6:
[5] ehealth,systems [5] systems,africa [4] associate,manager [4] manager,finance [4] ehealth,africa [3] africa,trains [3] trains,women [3] women,ict [3] #digital,#digitalhealth [3] #digitalhealth,#ehealth Top Word Pairs in Tweet in G7:
[22] ehealth,ontario [20] ontario,8b [20] 8b,tax [20] tax,payer [20] payer,money [20] money,vanished [20] vanished,under [20] under,liberals [20] liberals,conservatives [20] conservatives,ontarians Top Word Pairs in Tweet in G8:
[75] taking,india [75] india,ehealth [75] ehealth,journey [75] journey,forward [75] forward,enhancing [75] enhancing,access [75] access,healthcare [75] healthcare,esanjeevani [61] mygovindia,taking [39] esanjeevani,#8yearsofhealthyindia Top Word Pairs in Tweet in G9:
[17] #robotic,exoskeleton [17] exoskeleton,lets [17] lets,paralyzed [17] paralyzed,patients [17] patients,move [17] move,minds [17] minds,gigadgets_ [17] gigadgets_,#ehealth [17] #ehealth,#healthtech [17] #healthtech,#ai Top Word Pairs in Tweet in G10:
[20] die,ti [7] keine,akzeptanz [7] die,gematik [7] gematik,die [7] die,zugehörigen [7] zugehörigen,health [7] health,enthusiasten [7] enthusiasten,bejubeln [7] bejubeln,die [7] die,#ti 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 G5:
Top Replied-To in G7:
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: