The graph represents a network of 5,285 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, 31 August 2020 at 05:10 UTC.
The requested start date was Monday, 31 August 2020 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 12-day, 15-hour, 49-minute period from Tuesday, 18 August 2020 at 05:40 UTC to Sunday, 30 August 2020 at 21:29 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 : 5285
Unique Edges : 6699
Edges With Duplicates : 14560
Total Edges : 21259
Number of Edge Types : 5
Retweet : 5478
MentionsInRetweet : 10400
Mentions : 3824
Tweet : 1284
Replies to : 273
Self-Loops : 1385
Reciprocated Vertex Pair Ratio : 0.0266138165345413
Reciprocated Edge Ratio : 0.0518477661334804
Connected Components : 300
Single-Vertex Connected Components : 155
Maximum Vertices in a Connected Component : 4527
Maximum Edges in a Connected Component : 19989
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.17565
Graph Density : 0.000389530307663771
Modularity : 0.40511
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 5,285 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, 31 August 2020 at 05:10 UTC.
The requested start date was Monday, 31 August 2020 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 12-day, 15-hour, 49-minute period from Tuesday, 18 August 2020 at 05:40 UTC to Sunday, 30 August 2020 at 21:29 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:
[815] incveda,published [592] medical,veda [530] medical,records [529] published,keeping [529] keeping,medical [529] records,blockchain [529] blockchain,medical [529] veda,perspective [528] perspective,#ehealth [524] #ehealth,#block Top Word Pairs in Tweet in G1:
[419] ty,wef [370] wef,enricomolinari [296] enricomolinari,cc [194] #ehealth,#health [178] seguimiento,#ehealth [143] ty,uniladtech [113] #ai,#iot [107] uniladtech,enricomolinari [102] #ehealth,#salud [87] farmacia,mulilla Top Word Pairs in Tweet in G2:
[796] incveda,published [571] medical,veda [518] published,keeping [518] keeping,medical [518] medical,records [518] records,blockchain [518] blockchain,medical [518] veda,perspective [518] perspective,#ehealth [515] #ehealth,#block Top Word Pairs in Tweet in G3:
[53] cdcemergency,cdc_ehealth [50] cdcgov,cdc_ehealth [45] cdcgov,cdcemergency [33] cdcdirector,cdc_ehealth [26] cdc_ehealth,cdcdirector [23] covid,19 [23] fda,cdcemergency [22] cdcgov,cdcdirector [20] cdcemergency,cdcgov [18] cdcflu,cdcglobal Top Word Pairs in Tweet in G4:
[243] iitguwahati,rr [243] rr,animal [243] animal,healthcare [243] healthcare,developed [243] developed,delivered [243] delivered,large [243] large,quantities [243] quantities,affordable [243] affordable,#covid19 [243] #covid19,diagnostic Top Word Pairs in Tweet in G5:
[80] machine,sucks [80] sucks,carbon [80] carbon,air [80] air,quicktake [80] quicktake,#climatechange [80] #climatechange,#tech4good [80] #tech4good,#innovation [80] #innovation,#ehealth [80] #ehealth,#proptech [80] #proptech,cc Top Word Pairs in Tweet in G6:
[58] warum,künftigen [58] künftigen,datenpannen [58] datenpannen,medizin [58] medizin,keine [58] keine,schuldigen [58] schuldigen,geben [58] geben,#ehealth [57] heiseonline,warum [57] #ehealth,#datenschu [17] secunet,konnektor Top Word Pairs in Tweet in G7:
[281] #analytics,#datascience [281] #datascience,#ai [262] #iot,#iiot [250] #ai,#iot [241] #bigdata,#analytics [232] #python,#rstats [230] #iiot,#python [229] #machinelearning,#bigdata [152] fisheyebox,towards [119] #javascript,#reactjs Top Word Pairs in Tweet in G8:
[90] #nutrition,#uhc [43] #covid19ph,#nutrition [19] dr,herrin [18] ehealth,ceo [14] #ehealth,#health [13] mr,cruz [12] dr,oracion [11] ceo,buys [11] buys,stock [11] stock,amid Top Word Pairs in Tweet in G9:
[21] digitale,zorg [18] advies,'zorg [18] 'zorg,afstand [18] afstand,dichterbij [18] dichterbij,digitale [17] voorzitter,bussemaker [17] bussemaker,raadslid [17] raadslid,daandohmen [17] daandohmen,hebben [17] hebben,gevraagde Top Word Pairs in Tweet in G10:
[13] ehealth,ontario [9] lost,billion [7] nurse,allowed [7] two,full [7] behind,ehealth [7] ontario,scandal [7] ontario,lost [6] time,closer [6] one,nurse [6] selected,ontariohealthoh Top Replied-To in Entire Graph:
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Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: