The graph represents a network of 4,662 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, 11 October 2021 at 05:20 UTC.
The requested start date was Monday, 11 October 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 12-day, 11-hour, 9-minute period from Monday, 27 September 2021 at 00:05 UTC to Saturday, 09 October 2021 at 11:15 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 : 4662
Unique Edges : 4842
Edges With Duplicates : 12269
Total Edges : 17111
Number of Edge Types : 5
Tweet : 1761
Mentions : 4498
Retweet : 3924
MentionsInRetweet : 6448
Replies to : 480
Self-Loops : 1826
Reciprocated Vertex Pair Ratio : 0.0397449810092241
Reciprocated Edge Ratio : 0.0764514024787997
Connected Components : 419
Single-Vertex Connected Components : 237
Maximum Vertices in a Connected Component : 3456
Maximum Edges in a Connected Component : 15198
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.114143
Graph Density : 0.000352744935452509
Modularity : 0.402764
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,662 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, 11 October 2021 at 05:20 UTC.
The requested start date was Monday, 11 October 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 12-day, 11-hour, 9-minute period from Monday, 27 September 2021 at 00:05 UTC to Saturday, 09 October 2021 at 11:15 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:
[350] #ehealth,#health [297] seguimiento,#ehealth [286] #impinv,#vc [218] add'l,biozhena [218] biozhena,file [215] biozhena,files [187] ehealth,journey [187] journey,forward [187] forward,esanjeevani [187] touches,milestone Top Word Pairs in Tweet in G1:
[159] #ehealth,#health [137] #digitalhealth,#ehealth [109] ghirardieugenio,seguimiento [109] seguimiento,#ehealth [101] digital,health [72] biozhena,add'l [72] add'l,biozhena [72] biozhena,file [68] biozhena,biozhena [68] biozhena,files Top Word Pairs in Tweet in G2:
[286] #impinv,#vc [188] seguimiento,#ehealth [169] #ehealth,#health [147] biozhena,files [146] add'l,biozhena [146] biozhena,file [144] #vc,#obgyn [144] #obgyn,#impinv [143] #ehealth,#impinv [143] #obgyn,#obgyntwitter Top Word Pairs in Tweet in G3:
[125] enricomolinari,#ehealth [84] #ehealth,#digitalhealth [64] mckinsey,enricomolinari [63] #ehealth,#ai [53] #ai,#ehealth [50] #healthtech,#ehealth [48] ºworld,first [48] first,#artificialintelligence [48] #artificialintelligence,treat [48] treat,#covid19 Top Word Pairs in Tweet in G4:
[12] ehealth,permits [12] permits,dehealth [12] dehealth,tokenize [11] ehealth,inc [11] tokenize,patients [11] patients,data [7] qr,codes [7] î,î [7] ehealth,zagreb [6] digital,health Top Word Pairs in Tweet in G5:
[174] matt,anderson [108] ehealth,ontario [100] anderson,behind [99] behind,ehealth [98] ontario,scandal [97] uoft_dlsph,ontariohealthoh [92] ontariohealthoh,matt [82] fordnation,uoft_dlsph [80] celliottability,fordnation [75] scandal,ontario Top Word Pairs in Tweet in G6:
[42] europe,summit [21] health,europe [17] digital,health [17] project,rosia [17] rosia,looking [17] looking,companies [16] 2021,digital [14] illario3,uninait [14] rosia_pcp,project [13] donnatecscot,ehtel_ehealth Top Word Pairs in Tweet in G7:
[73] qr,code [35] ehealth,saskatchewan [30] saskatchewan,never [30] never,send [30] send,qr [30] code,text [30] text,email [30] email,receive [30] receive,message [30] message,containing Top Word Pairs in Tweet in G8:
[110] ehealth,journey [110] journey,forward [110] forward,esanjeevani [110] esanjeevani,touches [110] touches,milestone [110] milestone,crore [110] crore,tele [110] tele,consultations [109] aruna_dk,taking [72] taking,india Top Word Pairs in Tweet in G9:
[33] plymuni,plymunipgr [33] epic_ehealth,goaldstirplym [32] sergethill,epic_ehealth [30] rjonesplymouth,sergethill [30] goaldstirplym,plymunicht [29] plymunipgr,rjonesplymouth [28] very,soon [26] vacancies,research [26] research,fellows [26] fellows,working Top Word Pairs in Tweet in G10:
[64] know,using [64] using,link [64] link,join [64] join,free [64] free,registration [64] registration,one [64] one,open [63] michelenati,know [39] open,sessiâ [30] #dlt,#mydataeconomy Top Replied-To in Entire Graph:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: