The graph represents a network of 4,130 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, 15 November 2021 at 06:31 UTC.
The requested start date was Monday, 15 November 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 5-day, 17-hour, 3-minute period from Saturday, 06 November 2021 at 18:14 UTC to Friday, 12 November 2021 at 11:17 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 : 4130
Unique Edges : 4413
Edges With Duplicates : 13882
Total Edges : 18295
Number of Edge Types : 5
Retweet : 5167
MentionsInRetweet : 6901
Mentions : 4649
Tweet : 1096
Replies to : 482
Self-Loops : 1491
Reciprocated Vertex Pair Ratio : 0.029580300449125
Reciprocated Edge Ratio : 0.0574608904933815
Connected Components : 263
Single-Vertex Connected Components : 127
Maximum Vertices in a Connected Component : 3314
Maximum Edges in a Connected Component : 16985
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.062044
Graph Density : 0.000389848687339359
Modularity : 0.317642
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,130 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, 15 November 2021 at 06:31 UTC.
The requested start date was Monday, 15 November 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 5-day, 17-hour, 3-minute period from Saturday, 06 November 2021 at 18:14 UTC to Friday, 12 November 2021 at 11:17 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:
[2962] #datascience,#finserv [2908] #digital,#usa [2683] #ehealth,#datascience [2345] #usa,#tech [2329] #cloud,#ehealth [2124] #tech,#cloud [1270] #finserv,#bigdata [1122] #finserv,#machinelearning [844] #machinelearning,#bigdata [523] #aimx,#aimxtoken Top Word Pairs in Tweet in G1:
[271] #token,#blockchain [263] #aimx,#aimxtoken [262] #aimedis,#aimx [262] #aimxtoken,#token [163] #ehealth,#healthcare [161] #healthcare,#ido [154] #blockchain,#aimedisnft [154] #aimedisnft,#nft [152] #ido,#ieo [147] #ieo,#metaverse Top Word Pairs in Tweet in G2:
[2767] #datascience,#finserv [2723] #digital,#usa [2508] #ehealth,#datascience [2194] #usa,#tech [2175] #cloud,#ehealth [1984] #tech,#cloud [1199] #finserv,#bigdata [1043] #finserv,#machinelearning [784] #machinelearning,#bigdata [409] #bigdata,#100daysofcode Top Word Pairs in Tweet in G3:
[181] #datascience,#finserv [171] #digital,#usa [162] #ehealth,#datascience [141] #cloud,#ehealth [138] #usa,#tech [131] seguimiento,#ehealth [127] #tech,#cloud [110] #impinv,#vc [79] #bigdata,#digital [78] #aimedis,#aimx Top Word Pairs in Tweet in G4:
[34] chinfo,usnavycno [34] usnavycno,navymcpon [34] navymcpon,cdc_ehealth [34] cdc_ehealth,veteranshealth [29] travisakers,chinfo [22] covid,19 [15] cdcemergency,cdc_ehealth [10] cdcgov,cdcdirector [10] cdcgov,cdc_ehealth [8] ip,covid Top Word Pairs in Tweet in G5:
[102] #aimx,#aimxtoken [97] #aimxtoken,#token [95] #aimedis,#aimx [92] #token,#blockchain [86] #blockchain,#aimedisnft [81] #aimedisnft,#nft [79] #ehealth,#healthcare [78] #healthcare,#ido [76] #ido,#ieo [76] #metaverse,#ai Top Word Pairs in Tweet in G6:
[18] ehealth,inc [16] ehth,ehealth [12] price,target [9] q3,2021 [8] third,quarter [8] 2021,results [7] ehealth,ehth [7] q3,results [6] announces,third [6] quarter,2021 Top Word Pairs in Tweet in G7:
[61] digital,health [51] #healthcareit,#ehealth [50] #ehealth,#healthcare [48] #healthcare,#digitalhealth [48] #health,#healthcareit [38] social,media [34] gccehealth,#ehwdc2021 [31] #ehwdc2021,#gccehealth [30] #digitalhealth,#ehealth [29] #gccehealth,#digitalhealth Top Word Pairs in Tweet in G8:
[104] сбу,викрила [104] викрила,лікаря [104] лікаря,з [104] з,дніпра [104] дніпра,який [104] який,щодня [104] щодня,робив [104] робив,до [104] до,30 [104] 30,фейкових Top Word Pairs in Tweet in G9:
[18] marius,soler [17] cáncer,mama [14] mama,masculino [14] 16h,estaremos [14] estaremos,directo [14] directo,marius [14] soler,asociacioninvi [14] asociacioninvi,hablando [12] próximo,18 [12] 18,11 Top Word Pairs in Tweet in G10:
[48] matt,anderson [30] behind,ehealth [29] uoft_dlsph,ontariohealthoh [29] anderson,behind [28] ontariohealthoh,matt [27] ehealth,ontario [27] ontario,scandal [21] celliottability,fordnation [21] fordnation,uoft_dlsph [20] scandal,ontario Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: