The graph represents a network of 1,748 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, 19 December 2022 at 06:36 UTC.
The requested start date was Monday, 19 December 2022 at 01:01 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 7-day, 20-hour, 44-minute period from Saturday, 10 December 2022 at 14:36 UTC to Sunday, 18 December 2022 at 11:21 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 : 1748
Unique Edges : 1818
Edges With Duplicates : 13736
Total Edges : 15554
Number of Edge Types : 5
MentionsInRetweet : 4688
Mentions : 5204
Retweet : 4459
Tweet : 1059
Replies to : 144
Self-Loops : 2547
Reciprocated Vertex Pair Ratio : 0.0579227696404794
Reciprocated Edge Ratio : 0.109502831969792
Connected Components : 152
Single-Vertex Connected Components : 76
Maximum Vertices in a Connected Component : 1371
Maximum Edges in a Connected Component : 15014
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.907306
Graph Density : 0.00104068563434669
Modularity : 0.169244
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,748 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, 19 December 2022 at 06:36 UTC.
The requested start date was Monday, 19 December 2022 at 01:01 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 7-day, 20-hour, 44-minute period from Saturday, 10 December 2022 at 14:36 UTC to Sunday, 18 December 2022 at 11:21 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:
[3880] #healthtech,#smartcity [3878] #csuite,#digitalhealth [3874] #datascientist,#csuite [3873] #web3,#cx [3871] #digitalhealth,#web3 [3867] #smartcity,#datascientist [3861] #cx,#ehealth [3855] #ehealth,#finserv [3824] #finserv,#cloud [2392] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[3449] #healthtech,#smartcity [3447] #csuite,#digitalhealth [3443] #datascientist,#csuite [3442] #web3,#cx [3440] #digitalhealth,#web3 [3438] #smartcity,#datascientist [3435] #cx,#ehealth [3432] #ehealth,#finserv [3405] #finserv,#cloud [1968] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[497] #digital,#digitalhealth [422] #digitalhealth,#ehealth [419] #smartcity,#digital [353] #datascientist,#csuite [353] #web3,#cx [353] #healthtech,#smartcity [353] #csuite,#digitalhealth [353] #digitalhealth,#web3 [351] #smartcity,#datascientist [348] #cx,#ehealth Top Word Pairs in Tweet in G3:
[21] cdcgov,cdcdirector [17] cdcdirector,cdc_ehealth [15] cdcemergency,cdc_ehealth [13] believable,goebbels [13] lying,trying [13] propaganda,make [13] trying,massage [13] knew,lying [13] cdcgov,knew [13] more,believable Top Word Pairs in Tweet in G4:
[89] #healthcare,#digitalhealth [83] #healthcareit,#ehealth [82] #ehealth,#healthcare [80] #health,#healthcareit [65] #digitalhealth,#wearables [59] #wearables,series [56] #telehealth,#telemedicine [54] series,wearablesexpert [48] #ehealth,#mhealth [46] #digitalhealth,#ehealth Top Word Pairs in Tweet in G5:
[11] sentiments,experiences [11] deeper,understanding [11] 2022,retrospective [11] ehealth,insights [11] retrospective,deeper [11] understanding,medicare [11] insights,2022 [8] beneficiaries',sentiments [8] medicare,beneficiaries' [6] ehth,ehealth Top Word Pairs in Tweet in G6:
[41] syndrome,definition [41] guidelines,#medtwitter [41] metabolic,syndrome [41] #endotwitter,#obesity [41] management,guidelines [41] definition,management [41] #medtwitter,#endotwitter [40] apothera,metabolic [40] #obesity,#diab [25] prixgalien,#prixgalien2022 Top Word Pairs in Tweet in G7:
[11] patients,informal [10] caregivers,citizens [10] available,26 [10] 26,languages [10] informal,caregivers [10] citizens,available [10] european,patients [9] announcing,launch [9] survey,european [9] launch,survey Top Word Pairs in Tweet in G8:
[11] applications,grade [11] inviting,applications [9] snomed,webinar [9] information,make [9] 'data,analytics [9] make,decisions [9] derive,information [9] webinar,series [9] latest,snomed [9] analytics,snomed Top Word Pairs in Tweet in G9:
[11] annual,meeting [10] ehealth,exchange [6] 35,billion [6] monthly,transactions [5] billion,monthly [5] ehealthexchange,surpassed [5] surpassed,35 [4] milestone,reflects [4] cognosante,chief [4] talking,things Top Word Pairs in Tweet in G10:
[2] seeking,motivated [2] initial,two [2] two,year [2] officer,initial [2] editor,major [2] south,asian [2] 96,change [2] journal,50 [2] hardworking,accounts [2] 50,million 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 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: