The graph represents a network of 2,671 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, 24 January 2022 at 06:30 UTC.
The requested start date was Monday, 24 January 2022 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 6-day, 12-hour, 33-minute period from Friday, 14 January 2022 at 22:45 UTC to Friday, 21 January 2022 at 11:18 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 : 2671
Unique Edges : 3413
Edges With Duplicates : 15255
Total Edges : 18668
Number of Edge Types : 5
Mentions : 5099
Tweet : 1241
Retweet : 5078
MentionsInRetweet : 7007
Replies to : 243
Self-Loops : 1937
Reciprocated Vertex Pair Ratio : 0.0472411186696901
Reciprocated Edge Ratio : 0.0902201371346084
Connected Components : 235
Single-Vertex Connected Components : 123
Maximum Vertices in a Connected Component : 2093
Maximum Edges in a Connected Component : 17844
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.848997
Graph Density : 0.00077710798603954
Modularity : 0.248333
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,671 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, 24 January 2022 at 06:30 UTC.
The requested start date was Monday, 24 January 2022 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 6-day, 12-hour, 33-minute period from Friday, 14 January 2022 at 22:45 UTC to Friday, 21 January 2022 at 11:18 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:
[2748] #women,#ehealth [2743] #cx,#women [2683] #finserv,#fashiontech [2571] #digital,#cx [2559] #fashiontech,#insurtech [2549] #datascientist,#digital [2410] #ces2023,#finserv [2275] #ehealth,#data [2256] #data,#ces2023 [1700] chidambara09,#datascientist Top Word Pairs in Tweet in G1:
[2656] #women,#ehealth [2651] #cx,#women [2594] #finserv,#fashiontech [2484] #digital,#cx [2480] #fashiontech,#insurtech [2463] #datascientist,#digital [2330] #ces2023,#finserv [2201] #ehealth,#data [2184] #data,#ces2023 [1633] chidambara09,#datascientist Top Word Pairs in Tweet in G2:
[144] #ehealth,#health [129] #ehealth,#digital [117] digital,health [110] #digital,#health [94] seguimiento,#ehealth [91] #cx,#women [91] #women,#ehealth [88] #finserv,#fashiontech [86] #digital,#cx [85] #datascientist,#digital Top Word Pairs in Tweet in G3:
[45] cdc_ehealth,cdcglobal [32] potus,vp [30] cdcgov,us_fda [30] us_fda,cdcesports [30] cdcesports,cdcespanol [30] cdcespanol,cdcdirector [30] cdcdirector,fdaenespanol [30] fdaenespanol,cdcemergency [30] cdcemergency,potus [30] vp,oms_es Top Word Pairs in Tweet in G4:
[31] ehealth,inc [19] tm,forum [19] ecosoft,ehealth [16] catalyst,ecosoft [15] investors,ehealth [14] covid,19 [13] text,scam [13] law,firm [13] encourages,investors [12] 19,vaccine Top Word Pairs in Tweet in G5:
[9] looking,research [9] research,assistant [9] assistant,pt [9] pt,join [9] join,valuecare_eu [9] valuecare_eu,team [9] team,ireland [9] ireland,research [9] research,aims [9] aims,provide Top Word Pairs in Tweet in G6:
[41] ehealth,ontario [41] 8b,tax [41] tax,payer [41] payer,money [41] money,invested [40] remember,ehealth [39] invested,lost [39] lost,ontarians [37] ontario,8b [26] ontarians,still Top Word Pairs in Tweet in G7:
[6] saskhealth,cbcsask [4] cbcsask,ehealth [4] denniskendel,saskhealth [3] ehealth,3shealth [3] shared_facts,moy_barry [3] moy_barry,burgerlab12 [3] burgerlab12,wjack76995 [3] wjack76995,justplaying2win [3] justplaying2win,shawnwo78307528 [3] shawnwo78307528,mrobovsky Top Word Pairs in Tweet in G8:
[15] digital,health [15] health,infrastructure [15] infrastructure,interoperability [15] interoperability,startups [15] startups,saw [15] saw,incredible [15] incredible,amount [15] amount,traction [15] traction,last [15] last,year Top Word Pairs in Tweet in G9:
[14] whoethiopia,africacdc [14] africacdc,cdc_ehealth [14] cdc_ehealth,resolvetsl [14] resolvetsl,faoethiopia [14] faoethiopia,usaidethiopia [14] usaidethiopia,oieanimalhealth [12] lia_tadesse,whoethiopia [5] happy,saving [5] saving,winnings [5] winnings,thank Top Word Pairs in Tweet in G10:
[36] gnu,health [34] health,hmis [34] hmis,coming [34] coming,soon [34] soon,49 [34] 49,packages [34] packages,#gnuhealth [34] #gnuhealth,hospital [34] hospital,management [34] management,information Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: