The graph represents a network of 4,847 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, 25 January 2021 at 06:04 UTC.
The requested start date was Monday, 25 January 2021 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 12-day, 1-hour, 6-minute period from Monday, 11 January 2021 at 11:34 UTC to Saturday, 23 January 2021 at 12:40 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 : 4847
Unique Edges : 5686
Edges With Duplicates : 14649
Total Edges : 20335
Number of Edge Types : 5
Replies to : 432
Mentions : 5522
MentionsInRetweet : 8064
Retweet : 4558
Tweet : 1759
Self-Loops : 1832
Reciprocated Vertex Pair Ratio : 0.0334356874786762
Reciprocated Edge Ratio : 0.0647078243644767
Connected Components : 333
Single-Vertex Connected Components : 177
Maximum Vertices in a Connected Component : 4090
Maximum Edges in a Connected Component : 19081
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.1422
Graph Density : 0.000386869149333195
Modularity : 0.368773
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 4,847 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, 25 January 2021 at 06:04 UTC.
The requested start date was Monday, 25 January 2021 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 12-day, 1-hour, 6-minute period from Monday, 11 January 2021 at 11:34 UTC to Saturday, 23 January 2021 at 12:40 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:
[348] enricomolinari,#ehealth [330] #ehealth,#health [281] wef,enricomolinari [279] seguimiento,#ehealth [255] digital,health [247] #health,#healthcareit [239] #healthcareit,#ehealth [226] #ehealth,#healthcare [204] covid,19 [193] #healthcare,#digitalhealth Top Word Pairs in Tweet in G1:
[325] enricomolinari,#ehealth [282] #ehealth,#health [278] seguimiento,#ehealth [262] wef,enricomolinari [247] #health,#healthcareit [239] #healthcareit,#ehealth [219] #ehealth,#healthcare [193] #healthcare,#digitalhealth [150] gigadgets_,enricomolinari [148] #hospital,#health Top Word Pairs in Tweet in G2:
[35] cdcgov,cdc_ehealth [34] cdcemergency,cdc_ehealth [28] cdcgov,cdcemergency [23] cdc_ehealth,cdcgov [21] more,family [21] family,separation [21] separation,make [21] make,exemptions [21] exemptions,travel [21] travel,ban Top Word Pairs in Tweet in G3:
[56] biozhena,file [45] file,downloads [40] #ehealth,#femtech [29] #femtech,#impinv [27] #some4surgery,#some4hpb [27] #impinv,#vc [25] biozhena,biozhena [20] learn,more [17] presentation,research [17] research,papers Top Word Pairs in Tweet in G4:
[83] matt,anderson [74] ehealth,ontario [70] behind,ehealth [69] ontario,scandal [66] ontario,lost [66] lost,billion [64] scandal,ontario [54] selected,ceo [52] uoft_dlsph,ontariohealthoh [45] anderson,behind Top Word Pairs in Tweet in G5:
[27] #covid19,#pandemic [27] #covid19ph,#covid19 [27] #webinars,#pandemic [27] #pandemic,#covid19 [27] #uhc,#publichealth [25] #publichealth,#webinars [14] ehealth,board [13] covid,19 [12] privacy,commissioner [12] dr,ayes Top Word Pairs in Tweet in G6:
[18] #ehealth,#digitalhealth [11] olk_julian,bmg_bund [11] bmg_bund,die_regierung [11] noah_froehlich,aok_politik [11] aok_politik,tk_presse [11] tk_presse,vodafone_de [11] vodafone_de,bsi_bund [11] bmg_bund,war [11] war,folge [11] folge,116 Top Word Pairs in Tweet in G7:
[19] #ehealth,#mhealth [18] #ehealth,#digitalhealth [12] #mhealth,#ehealth [12] #digitalhealth,#saluddigital [11] #mhealth,#appdesalud [10] #saluddigital,#digitalhealth [10] calidad,vida [9] #appdesalud,#mhealth [9] #saluddigital,#ehealth [9] #breastcancer,#ehealth Top Word Pairs in Tweet in G8:
[24] digital,health [16] job,opportunity [16] opportunity,research [16] research,fellow [16] fellow,digital [16] health,innovation [16] innovation,networking [16] networking,join [11] join,team [10] reflexionem,job Top Word Pairs in Tweet in G9:
[47] ncdcgov,chikwe_i [24] fmohnigeria,nighealthwatch [22] chikwe_i,fmohnigeria [22] fmicnigeria,noa_nigeria [22] chikwe_i,chinwe_ochu [22] chinwe_ochu,fmohnigeria [22] nighealthwatch,fmicnigeria [22] fmicnigeria,whonigeria [22] whonigeria,ehealth_africa [22] ehealth_africa,resolvetsl Top Word Pairs in Tweet in G10:
[8] thomas,sauter [7] elektronische,patientendossiers [7] patientendossiers,kosten [7] kosten,rund [7] rund,chf [7] chf,50 [7] 50,pro [7] pro,person [7] person,sagt [7] sagt,regierungsrat Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: