The graph represents a network of 2,466 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, 18 April 2022 at 05:29 UTC.
The requested start date was Monday, 18 April 2022 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 7-day, 22-hour, 6-minute period from Thursday, 07 April 2022 at 13:09 UTC to Friday, 15 April 2022 at 11:16 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 : 2466
Unique Edges : 2502
Edges With Duplicates : 13543
Total Edges : 16045
Number of Edge Types : 5
Retweet : 4959
MentionsInRetweet : 5408
Mentions : 4491
Tweet : 997
Replies to : 190
Self-Loops : 2012
Reciprocated Vertex Pair Ratio : 0.049400831499144
Reciprocated Edge Ratio : 0.0941505476578886
Connected Components : 167
Single-Vertex Connected Components : 69
Maximum Vertices in a Connected Component : 2029
Maximum Edges in a Connected Component : 15405
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.190269
Graph Density : 0.000705908674401886
Modularity : 0.224088
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,466 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, 18 April 2022 at 05:29 UTC.
The requested start date was Monday, 18 April 2022 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 7-day, 22-hour, 6-minute period from Thursday, 07 April 2022 at 13:09 UTC to Friday, 15 April 2022 at 11:16 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:
[2964] #cx,#women [2959] #women,#ehealth [2917] #healthtech,#datascientist [2890] #ehealth,#ces2023 [2584] #ces2023,#finserv [2376] #cloud,#cx [2375] #digitalhealth,#cloud [1877] chidambara09,#healthtech [1404] #ai,#digitalhealth [1384] #datascientist,#iot Top Word Pairs in Tweet in G1:
[2688] #cx,#women [2685] #women,#ehealth [2648] #healthtech,#datascientist [2625] #ehealth,#ces2023 [2364] #ces2023,#finserv [2151] #cloud,#cx [2150] #digitalhealth,#cloud [1621] chidambara09,#healthtech [1274] #ai,#digitalhealth [1256] #datascientist,#iot Top Word Pairs in Tweet in G2:
[130] #cx,#women [129] #women,#ehealth [128] #healthtech,#datascientist [125] #ehealth,#ces2023 [119] chidambara09,#healthtech [107] #digitalhealth,#cloud [107] #cloud,#cx [102] #ces2023,#finserv [59] #ai,#digitalhealth [58] #datascientist,#iot Top Word Pairs in Tweet in G3:
[145] #cx,#women [144] #women,#ehealth [140] #healthtech,#datascientist [139] #ehealth,#ces2023 [136] chidambara09,#healthtech [117] #digitalhealth,#cloud [117] #cloud,#cx [117] #ces2023,#finserv [115] #ehealth,#healthcare [106] #healthcareit,#ehealth Top Word Pairs in Tweet in G4:
[19] cdc_ehealth,whcovidresponse [18] healthcomm100,no1toolmkr [18] covid19tracking,cdc_ehealth [17] no1toolmkr,samadamstpp [12] samadamstpp,covid19tracking [9] very,constructive [9] constructive,successful [9] successful,meeting [9] meeting,yesterday [9] yesterday,partners Top Word Pairs in Tweet in G5:
[15] cdc_ehealth,cdcglobal [12] cdcgov,cdcdirector [9] potus,vp [9] cdc_ehealth,cdcgov [8] cdcgov,us_fda [8] us_fda,cdcesports [8] cdcesports,cdcespanol [8] cdcespanol,cdcdirector [8] cdcdirector,fdaenespanol [8] fdaenespanol,cdcemergency Top Word Pairs in Tweet in G6:
[10] check,first [10] first,series [10] series,clips [10] clips,brilliant [10] brilliant,cardiologist [10] cardiologist,francisco [10] francisco,mendez [10] mendez,lays [10] lays,experiences [10] experiences,implementing Top Word Pairs in Tweet in G7:
[14] ehealth,ontario [12] ontario,8b [12] 8b,tax [12] tax,payer [12] payer,money [12] money,vanished [12] vanished,under [12] under,liberals [12] liberals,conservatives [12] conservatives,ontarians Top Word Pairs in Tweet in G8:
[4] carb,cycling [4] cycling,diet [4] diet,pack [4] easy,#keto [4] #keto,#diet [4] #diet,pack [3] preventive,care [3] startup,ehealth [3] ehealth,savana [3] savana,cierra Top Word Pairs in Tweet in G9:
[34] programme,open [34] visit,innovation [34] innovation,commercialise [34] commercialise,ehealth [33] ehealth,embark [33] embark,programme [28] more,info [27] open,applications [27] applications,more [27] info,apply Top Word Pairs in Tweet in G10:
[10] व,स [7] pandemic,treaty [6] क,ज [6] स,व [6] स,थ [6] थ,य [6] य,स [6] ehealth_eu,ehealthdc [6] who_europe,cdc_ncezid [6] cdc_ncezid,bbcworld Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: