The graph represents a network of 3,806 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, 05 July 2021 at 05:16 UTC.
The requested start date was Monday, 05 July 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 10-day, 2-hour, 35-minute period from Thursday, 24 June 2021 at 08:30 UTC to Sunday, 04 July 2021 at 11:05 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 : 3806
Unique Edges : 4843
Edges With Duplicates : 22493
Total Edges : 27336
Number of Edge Types : 5
Retweet : 4997
MentionsInRetweet : 12595
Mentions : 7972
Replies to : 356
Tweet : 1416
Self-Loops : 1465
Reciprocated Vertex Pair Ratio : 0.0271361857882115
Reciprocated Edge Ratio : 0.0528385352666503
Connected Components : 280
Single-Vertex Connected Components : 128
Maximum Vertices in a Connected Component : 3117
Maximum Edges in a Connected Component : 26280
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.050001
Graph Density : 0.000561945555223338
Modularity : 0.267545
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,806 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, 05 July 2021 at 05:16 UTC.
The requested start date was Monday, 05 July 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 10-day, 2-hour, 35-minute period from Thursday, 24 June 2021 at 08:30 UTC to Sunday, 04 July 2021 at 11:05 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:
[1089] cdcgov,cdctravel [1031] cdctravel,cdcdirector [1001] cdcdirector,cdc_ehealth [864] cdc_ehealth,whcovidresponse [539] #loveisnottourism,#liftthetravelban [535] #liftthetravelban,cdcgov [464] #loveisnottourism,cdcgov [367] reciprocate,#loveisnottourism [365] whcovidresponse,aslavitt46 [336] aslavitt46,aslavitt Top Word Pairs in Tweet in G1:
[323] biozhena,files [288] seguimiento,#ehealth [267] files,downloads [263] #ehealth,#health [206] #impinv,#vc [175] add'l,biozhena [125] ghirardieugenio,seguimiento [112] #ehealth,#obgyn [112] #obgyn,#impinv [112] #vc,#obgyntwitter Top Word Pairs in Tweet in G2:
[290] mashable,enricomolinari [240] visualcap,enricomolinari [208] enricomolinari,#fintech [205] statistacharts,enricomolinari [192] #ai,#iot [160] #fintech,#finserv [150] #vc,#blockchain [144] #finserv,#insurtech [136] #neobanks,#vc [132] #insurtech,#proptech Top Word Pairs in Tweet in G3:
[1081] cdcgov,cdctravel [1024] cdctravel,cdcdirector [991] cdcdirector,cdc_ehealth [858] cdc_ehealth,whcovidresponse [535] #loveisnottourism,#liftthetravelban [531] #liftthetravelban,cdcgov [460] #loveisnottourism,cdcgov [366] reciprocate,#loveisnottourism [364] whcovidresponse,aslavitt46 [335] aslavitt46,aslavitt Top Word Pairs in Tweet in G4:
[11] pharmacopolitics,much [11] much,stronger [11] stronger,scientific [11] scientific,evidence [11] evidence,lobby [10] covid,19 [8] #digitalhealth,#ehealth [8] cdc_ehealth,e_health_ [7] eumhealthhub,july [6] july,13th Top Word Pairs in Tweet in G5:
[44] ehealth,ontario [43] matt,anderson [37] ontario,lost [28] behind,ehealth [28] ontario,scandal [26] scandal,ontario [26] uoft_dlsph,ontariohealthoh [26] anderson,behind [22] lost,billion [17] billion,aldasteinn Top Word Pairs in Tweet in G6:
[5] #ehealth,#health [5] developer,ehealth [5] ehealth,files [5] ehealth,zagreb [4] service,ehealth [4] ehth,ehealth [4] best,fit [4] common,stock [4] link,bio [3] keto,diet Top Word Pairs in Tweet in G7:
[95] iota,nokianetworks [93] discover,ecosoft [93] ecosoft,ehealth [93] ehealth,#catalyst [93] #catalyst,featuring [93] featuring,iota [93] nokianetworks,more [93] more,working [93] working,enabling [93] enabling,service Top Word Pairs in Tweet in G8:
[8] êtes,médecin [8] médecin,envoyez [8] envoyez,consultez [8] consultez,#données [8] #données,#santé [8] #santé,patients [8] patients,manière [8] manière,digitale [8] digitale,répondez [8] base,données Top Word Pairs in Tweet in G9:
[8] digital,transformation [7] great,lineup [7] lineup,morning's [7] morning's,dkitconnect [7] dkitconnect,#ehealth [7] #ehealth,digital [7] transformation,webinar [7] webinar,looking [7] looking,forward [7] forward,hearing Top Word Pairs in Tweet in G10:
[60] welcome,slovenia [60] slovenia,vonderleyen [60] vonderleyen,great [60] great,honour [60] honour,host [60] host,eu_commission [60] eu_commission,president [60] president,#children's [60] #children's,hospital [60] hospital,ljubljana 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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