The graph represents a network of 4,229 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 May 2021 at 05:18 UTC.
The requested start date was Monday, 31 May 2021 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, 20-hour, 22-minute period from Thursday, 20 May 2021 at 14:57 UTC to Sunday, 30 May 2021 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 : 4229
Unique Edges : 4881
Edges With Duplicates : 18482
Total Edges : 23363
Number of Edge Types : 5
Replies to : 345
MentionsInRetweet : 11011
Mentions : 5634
Retweet : 4990
Tweet : 1383
Self-Loops : 1441
Reciprocated Vertex Pair Ratio : 0.032
Reciprocated Edge Ratio : 0.062015503875969
Connected Components : 302
Single-Vertex Connected Components : 147
Maximum Vertices in a Connected Component : 3422
Maximum Edges in a Connected Component : 22221
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.812953
Graph Density : 0.000461739491679405
Modularity : 0.309473
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,229 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 May 2021 at 05:18 UTC.
The requested start date was Monday, 31 May 2021 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, 20-hour, 22-minute period from Thursday, 20 May 2021 at 14:57 UTC to Sunday, 30 May 2021 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:
[526] gigadgets_,enricomolinari [486] cdcgov,cdctravel [453] cdctravel,cdcdirector [440] cdcdirector,cdc_ehealth [438] #loveisnottourism,cdcgov [416] wef,enricomolinari [410] mashable,enricomolinari [385] cdc_ehealth,whcovidresponse [365] #ehealth,#health [325] whcovidresponse,aslavitt46 Top Word Pairs in Tweet in G1:
[501] gigadgets_,enricomolinari [397] wef,enricomolinari [384] mashable,enricomolinari [257] enricomolinari,#bigdata [164] enricomolinari,#ehealth [159] #ai,#iot [125] #finserv,#insurtech [120] #insurtech,#proptech [117] #fintech,#finserv [115] #iot,#iiot Top Word Pairs in Tweet in G2:
[340] #ehealth,#health [246] biozhena,files [236] files,downloads [233] seguimiento,#ehealth [176] add'l,biozhena [163] #impinv,#vc [119] #vc,#obgyntwitter [119] #obgyntwitter,#emergingtech [119] #emergingtech,#fertility [116] #ehealth,#obgyn Top Word Pairs in Tweet in G3:
[134] matt,anderson [102] ehealth,ontario [79] uoft_dlsph,ontariohealthoh [76] behind,ehealth [72] anderson,behind [71] ontario,scandal [67] scandal,ontario [67] ontario,lost [67] lost,billion [62] billion,aldasteinn Top Word Pairs in Tweet in G4:
[476] cdcgov,cdctravel [443] cdctravel,cdcdirector [433] #loveisnottourism,cdcgov [429] cdcdirector,cdc_ehealth [376] cdc_ehealth,whcovidresponse [318] whcovidresponse,aslavitt46 [254] aslavitt46,aslavitt [149] aslavitt,surgeon_general [106] surgeon_general,presssec [99] presssec,potus Top Word Pairs in Tweet in G5:
[9] gt,gt [8] pin,followers [8] followers,pins [8] pins,2019 [8] 2019,2020 [8] 2020,2021 [8] #bigdata,#ehealth [8] #ehealth,#health [7] 2021,#smartcities [7] #smartcities,#bigdata Top Word Pairs in Tweet in G6:
[127] margaretsiegien,pawlowskimario [64] pawlowskimario,#futureofwork [42] #google,unveils [42] unveils,#artificialintelligence [42] #artificialintelligence,tool [42] tool,#dermatology [42] #dermatology,margaretsiegien [41] margaretsiegien,#google [41] #futureofwork,#healtht [40] margaretsiegien,#ai Top Word Pairs in Tweet in G7:
[55] ehealth,eu [55] eu,site [55] site,goal [54] #vechain,working [54] working,covid [54] covid,vaccine [54] vaccine,passport [54] passport,ehealth [54] ehealth,european [54] european,commission Top Word Pairs in Tweet in G8:
[26] webinar,efim_eu [26] efim_eu,#telemedicine [26] #telemedicine,innovation [26] innovation,#artificialintelligence [24] #artificialintelligence,#digitalhealth [23] #ehealth,#mhealth [22] 26,mayo [22] mayo,16 [20] mañana,webinar [20] #digitalhealth,26 Top Word Pairs in Tweet in G9:
[9] eu,digital [8] digital,covid [7] ehealth,summit [7] #eumdr,sets [6] covid,certificate [6] join,next [6] next,week [6] portugal,ehealth [6] summit,held [6] held,virtually Top Word Pairs in Tweet in G10:
[2] janwe,psychtoday [2] psychtoday,teenvogue [2] teenvogue,tulsigabbard [2] tulsigabbard,jimmy_dore [2] jimmy_dore,ggreenwald [2] ggreenwald,skynews Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: