The graph represents a network of 2,883 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, 29 August 2022 at 05:43 UTC.
The requested start date was Monday, 29 August 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, 15-hour, 48-minute period from Friday, 19 August 2022 at 19:24 UTC to Sunday, 28 August 2022 at 11:13 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 : 2883
Unique Edges : 2948
Edges With Duplicates : 14675
Total Edges : 17623
Number of Edge Types : 5
Tweet : 792
Retweet : 5324
MentionsInRetweet : 7126
Mentions : 4146
Replies to : 235
Self-Loops : 1637
Reciprocated Vertex Pair Ratio : 0.0371212121212121
Reciprocated Edge Ratio : 0.0715850986121256
Connected Components : 191
Single-Vertex Connected Components : 104
Maximum Vertices in a Connected Component : 2352
Maximum Edges in a Connected Component : 16734
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.964013
Graph Density : 0.000659059797520847
Modularity : 0.259441
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,883 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, 29 August 2022 at 05:43 UTC.
The requested start date was Monday, 29 August 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, 15-hour, 48-minute period from Friday, 19 August 2022 at 19:24 UTC to Sunday, 28 August 2022 at 11:13 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:
[2129] #ehealth,#finserv [2105] #finserv,#cloud [2081] #healthtech,#datascientist [2072] #cloud,#insurtech [2063] #csuite,#digitalhealth [2054] #datascientist,#csuite [2044] #cx,#ehealth [2024] #digitalhealth,#web3 [2022] #web3,#cx [1216] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[1850] #ehealth,#finserv [1835] #healthtech,#datascientist [1832] #finserv,#cloud [1819] #csuite,#digitalhealth [1815] #cloud,#insurtech [1811] #datascientist,#csuite [1805] #cx,#ehealth [1789] #digitalhealth,#web3 [1788] #web3,#cx [989] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[257] #ehealth,#finserv [253] #finserv,#cloud [237] #cloud,#insurtech [229] #healthtech,#datascientist [229] #csuite,#digitalhealth [228] #datascientist,#csuite [225] #cx,#ehealth [222] #digitalhealth,#web3 [221] #web3,#cx [214] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[185] _atanas_,#dhpsp [160] #dhpsp,#crbiotech [110] #ehealth,#healthcare [110] #healthcare,#digitalhealth [107] #healthcareit,#ehealth [106] #crbiotech,#inpst [104] #digitalhealth,#wearables [100] #ehealth,#digitalhealth [97] #wearables,series [97] #health,#healthcareit Top Word Pairs in Tweet in G4:
[26] cdcemergency,cdc_ehealth [23] cdcgov,cdcdirector [22] cdcdirector,cdcemergency [21] cdcgov,cdc_ehealth [15] potus,secblinken [15] secblinken,ablinken [14] claudiatenney,reptenney [13] cdc_ehealth,potus [13] ablinken,claudiatenney [9] cdc_ehealth,cdcflu Top Word Pairs in Tweet in G5:
[120] guten,morgen [120] morgen,herr [120] herr,prof [120] prof,dr [120] dr,karl_lauterbach [120] karl_lauterbach,freuen [120] freuen,appell [120] appell,lesen [120] lesen,wissen [120] wissen,ja Top Word Pairs in Tweet in G6:
[330] skodineya,#digitalindia [178] #poshantracker,#mobile [178] #mobile,#application [178] #application,provide [178] provide,360 [178] 360,degree [178] degree,#views [178] #views,activities [178] activities,anganwadi [178] anganwadi,centre Top Word Pairs in Tweet in G7:
[56] ehealth,ontario [41] selected,ceo [40] ontario,healthcare [40] healthcare,managers [40] managers,one [40] one,nurse [40] nurse,allowed [40] allowed,two [40] two,full [40] full,time Top Word Pairs in Tweet in G8:
[11] einführung,rezepts [10] stoppen,einführung [8] heise,online [7] tech,giganten [7] comitas,health [6] ehealth,literacy [5] ehealth,exchange [5] ehealth,experte [5] experte,tech [5] giganten,china Top Word Pairs in Tweet in G9:
[31] apena,ver [31] ver,colegas [31] colegas,siguen [31] siguen,aferrados [31] aferrados,#digitalizacion [31] #digitalizacion,#telemedicina [31] #telemedicina,#ia [31] #ia,aportan [31] aportan,valor [30] gsanchezantolin,apena Top Word Pairs in Tweet in G10:
[2] mario,marín [2] bbchealth,cdc_ehealth 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 G7:
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: