The graph represents a network of 3,034 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 September 2022 at 05:35 UTC.
The requested start date was Monday, 19 September 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, 15-hour, 27-minute period from Tuesday, 06 September 2022 at 19:52 UTC to Friday, 16 September 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 : 3034
Unique Edges : 3022
Edges With Duplicates : 13824
Total Edges : 16846
Number of Edge Types : 5
Retweet : 4904
MentionsInRetweet : 6556
Mentions : 3943
Tweet : 1109
Replies to : 334
Self-Loops : 1863
Reciprocated Vertex Pair Ratio : 0.0377918480411555
Reciprocated Edge Ratio : 0.0728312678741659
Connected Components : 249
Single-Vertex Connected Components : 142
Maximum Vertices in a Connected Component : 2538
Maximum Edges in a Connected Component : 16206
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.375922
Graph Density : 0.000569977229165186
Modularity : 0.266906
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 3,034 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 September 2022 at 05:35 UTC.
The requested start date was Monday, 19 September 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, 15-hour, 27-minute period from Tuesday, 06 September 2022 at 19:52 UTC to Friday, 16 September 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:
[1469] #ehealth,#finserv [1459] #csuite,#digitalhealth [1457] #digitalhealth,#web3 [1457] #web3,#cx [1457] #cx,#ehealth [1456] #datascientist,#csuite [1452] #healthtech,#datascientist [1444] #finserv,#cloud [1073] #cloud,#insurtech [832] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[1284] #csuite,#digitalhealth [1284] #ehealth,#finserv [1282] #digitalhealth,#web3 [1282] #web3,#cx [1282] #cx,#ehealth [1281] #datascientist,#csuite [1279] #healthtech,#datascientist [1266] #finserv,#cloud [951] #cloud,#insurtech [663] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[180] aimx,aimedisglobal [143] #aimedisnft,#nft [135] #staking,#dapp [129] #healthcare,#aimx [129] #aimx,#aimxtoken [128] #aimxtoken,#metaverse [118] #medicine,#medtwitter [118] #medtwitter,#healthcare [116] #metaverse,#token [116] #token,#blockchain Top Word Pairs in Tweet in G3:
[125] #ehealth,#finserv [124] artificial,intelligence [124] #digitalhealth,#wearables [122] #ehealth,#digitalhealth [122] #datascientist,#csuite [122] #csuite,#digitalhealth [122] #digitalhealth,#web3 [122] #web3,#cx [122] #cx,#ehealth [122] #finserv,#cloud Top Word Pairs in Tweet in G4:
[41] ehealth,ontario [32] selected,ceo [21] ontario,8b [21] 8b,tax [21] money,vanished [21] vanished,under [21] remember,ehealth [20] tax,payer [20] payer,money [19] healthcare,managers Top Word Pairs in Tweet in G5:
[9] cdc_ehealth,cdcgov [7] cdcgov,cdcemergency [7] cdcemergency,cdc_ehealth [5] cdc_ehealth,cdcflu [5] cdcgov,cdc_ehealth [4] ducky68257909,bbcworld [4] bbcworld,bbchindi [4] bbchindi,cdcemergency [4] cdcemergency,ehealth [4] ehealth,cdc_ehealth Top Word Pairs in Tweet in G6:
[78] kuiper,contact [78] contact,niet [78] niet,nodig [78] nodig,dan [78] dan,volstaat [78] volstaat,digi [78] digi,ehealth [78] ehealth,helaas [78] helaas,begrijpt [78] begrijpt,ook Top Word Pairs in Tweet in G7:
[17] ehealth,appoints [17] appoints,michelle [17] michelle,barbeau [15] barbeau,chief [14] chief,marketing [14] marketing,officer [11] ehealth,nsw [8] nsw,develops [8] develops,cloud [8] cloud,infrastructure Top Word Pairs in Tweet in G8:
[16] ehealth,summit [15] hospitalsantpau,aquascat [13] project,website [12] ehealth_eu,ehppa [12] final,event [12] #label2enable,project [12] website,launched [11] launched,look [10] september,2022 [10] ihebelgium,ihenl Top Word Pairs in Tweet in G9:
[8] meta,analysis [8] world,implementation [8] system,based [8] designed,predict [7] implementation,#ehealth [7] #ehealth,system [6] artificial,intelligence [6] museum,award [6] jmirpub,jmir [5] based,artificial Top Word Pairs in Tweet in G10:
[21] digitalisierung,praxis [21] praxis,digitalisierung [21] wesen,co [21] co,mwocoowcdm [19] #frankfurter,#ehealth [19] #ehealth,tag [18] heiseonline,ehealth [15] digitalisierung,gesund [15] gesund,heits [15] heits,wesen 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 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: