The graph represents a network of 4,041 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, 07 June 2021 at 05:16 UTC.
The requested start date was Monday, 07 June 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 8-day, 12-hour, 53-minute period from Friday, 28 May 2021 at 22:27 UTC to Sunday, 06 June 2021 at 11:20 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 : 4041
Unique Edges : 4486
Edges With Duplicates : 22167
Total Edges : 26653
Number of Edge Types : 5
Retweet : 5218
MentionsInRetweet : 11714
Tweet : 1166
Replies to : 415
Mentions : 8140
Self-Loops : 1220
Reciprocated Vertex Pair Ratio : 0.0343901815392483
Reciprocated Edge Ratio : 0.0664936349029786
Connected Components : 266
Single-Vertex Connected Components : 151
Maximum Vertices in a Connected Component : 3428
Maximum Edges in a Connected Component : 25801
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.878669
Graph Density : 0.000495600785022823
Modularity : 0.270253
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,041 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, 07 June 2021 at 05:16 UTC.
The requested start date was Monday, 07 June 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 8-day, 12-hour, 53-minute period from Friday, 28 May 2021 at 22:27 UTC to Sunday, 06 June 2021 at 11:20 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:
[801] mashable,enricomolinari [663] cdcgov,cdctravel [643] #loveisnottourism,cdcgov [632] cdctravel,cdcdirector [622] cdcdirector,cdc_ehealth [564] cdc_ehealth,whcovidresponse [502] whcovidresponse,aslavitt46 [403] aslavitt46,aslavitt [339] travel,ban [335] schengen,area Top Word Pairs in Tweet in G1:
[762] mashable,enricomolinari [270] enricomolinari,#bigdata [212] #fintech,#finserv [209] #banking,#fintech [154] #finserv,#insurtech [146] enricomolinari,#banking [137] #insurtech,#proptech [130] #ai,#iot [122] enricomolinari,#ehealth [120] intengineering,enricomolinari Top Word Pairs in Tweet in G2:
[663] cdcgov,cdctravel [643] #loveisnottourism,cdcgov [632] cdctravel,cdcdirector [620] cdcdirector,cdc_ehealth [564] cdc_ehealth,whcovidresponse [502] whcovidresponse,aslavitt46 [403] aslavitt46,aslavitt [339] travel,ban [335] schengen,area [264] ban,eu Top Word Pairs in Tweet in G3:
[231] biozhena,files [215] files,downloads [183] seguimiento,#ehealth [177] #ehealth,#health [157] #impinv,#vc [141] add'l,biozhena [97] #ehealth,#obgyn [97] #obgyn,#impinv [97] #vc,#obgyntwitter [97] #obgyntwitter,#emergingtech Top Word Pairs in Tweet in G4:
[12] digital,health [8] covid,19 [7] 1st,dose [7] ehealth,zagreb [6] ehealth,literacy [6] #ehealth,#health [5] complete,84 [5] 84,days [5] ehealth,portal [5] link,bio Top Word Pairs in Tweet in G5:
[17] 2021,2027 [17] 2027,join [16] opportunities,#digitalhealth [16] #digitalhealth,2021 [16] join,dhe_2020 [16] dhe_2020,cei_secretariat [16] cei_secretariat,deep [16] deep,dive [15] funding,opportunities [13] dive,funding Top Word Pairs in Tweet in G6:
[41] #ehealth,summit [20] session,2021portugaleu [20] 2021portugaleu,#ehealthsummit [19] healthycloudeu,join [18] eu,health [18] working,towards [17] find,projects [17] projects,working [17] towards,pan [17] pan,eu Top Word Pairs in Tweet in G7:
[78] 20,#nextgenerationeu [78] #nextgenerationeu,digital [78] digital,skills [78] skills,ðÿœ [78] ðÿœ,high [78] high,speed [78] speed,connectivity [78] connectivity,human [78] human,centric [78] centric,#ai Top Word Pairs in Tweet in G8:
[82] ehealth,journey [82] journey,forward [81] forward,esanjeevani [76] taking,indiaâ [76] indiaâ,ehealth [60] significant,moments [60] moments,india's [60] india's,fight [60] fight,against [60] against,#covid19 Top Word Pairs in Tweet in G9:
[19] reto,integrar [19] integrar,#esalud [19] #esalud,cuidado [19] cuidado,salud [19] salud,revisiã [19] revisiã,sistemã [19] sistemã,tica [19] tica,literatura [19] literatura,modelo [19] modelo,#donabedian Top Word Pairs in Tweet in G10:
[18] systematic,review [18] ipospsychooncol,ehealth_psyonco [14] conducted,systematic [14] review,classification [14] classification,#ehealth [14] #ehealth,#implementation [14] #implementation,theories [14] theories,full [14] full,paper [13] milenaheinsch,conducted 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: