The graph represents a network of 2,830 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, 11 July 2022 at 05:41 UTC.
The requested start date was Monday, 11 July 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 9-day, 4-hour, 23-minute period from Friday, 01 July 2022 at 06:56 UTC to Sunday, 10 July 2022 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 : 2830
Unique Edges : 3439
Edges With Duplicates : 14948
Total Edges : 18387
Number of Edge Types : 5
Retweet : 5427
MentionsInRetweet : 7899
Mentions : 4029
Tweet : 824
Replies to : 208
Self-Loops : 1432
Reciprocated Vertex Pair Ratio : 0.0346676197283774
Reciprocated Edge Ratio : 0.0670120898100173
Connected Components : 219
Single-Vertex Connected Components : 134
Maximum Vertices in a Connected Component : 2397
Maximum Edges in a Connected Component : 17812
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.175314
Graph Density : 0.000723201271035602
Modularity : 0.245493
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,830 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, 11 July 2022 at 05:41 UTC.
The requested start date was Monday, 11 July 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 9-day, 4-hour, 23-minute period from Friday, 01 July 2022 at 06:56 UTC to Sunday, 10 July 2022 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:
[2037] #datascientist,#mwc22 [2030] #cx,#women [2028] #digitalhealth,#cx [2012] #healthtech,#datascientist [1997] #women,#ehealth [1994] #digital,#digitalhealth [1919] #mwc22,#digital [1911] #ehealth,#finserv [1343] chidambara09,#healthtech [1064] #finserv,#bigdataâ Top Word Pairs in Tweet in G1:
[651] #datascientist,#mwc22 [650] #digitalhealth,#cx [643] #cx,#women [640] #healthtech,#datascientist [628] #women,#ehealth [612] #mwc22,#digital [611] #digital,#digitalhealth [591] #ehealth,#finserv [577] chidambara09,#healthtech [428] #finserv,#bigdataâ Top Word Pairs in Tweet in G2:
[1272] #cx,#women [1269] #datascientist,#mwc22 [1267] #digital,#digitalhealth [1264] #digitalhealth,#cx [1258] #women,#ehealth [1257] #healthtech,#datascientist [1214] #ehealth,#finserv [1200] #mwc22,#digital [671] #finserv,#bigdata [666] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[17] sandraroblesp,gdt_inequidades [17] gdt_inequidades,#sevsemfyc [16] #covid,cases [16] cdcgov,cdc_ehealth [16] fda,cdc_ehealth [16] #inequidades,#brechadigital [16] #brechadigital,cocoopsi [15] reached,achieved [15] achieved,#covid19 [15] #covid19,#vaccination Top Word Pairs in Tweet in G4:
[115] #datascientist,#mwc22 [114] #digital,#digitalhealth [113] #healthtech,#datascientist [113] #cx,#women [112] #digitalhealth,#cx [109] #women,#ehealth [105] #mwc22,#digital [104] #ehealth,#finserv [99] chidambara09,#healthtech [85] #finserv,#bigdataâ Top Word Pairs in Tweet in G5:
[104] aimedis,virtual [104] virtual,gallery [104] gallery,medical [104] medical,scientific [104] scientific,art [104] art,occupying [104] occupying,central [104] central,space [104] space,inside [104] inside,aimedis Top Word Pairs in Tweet in G6:
[10] ehealth,africa [9] ehealth,inc [8] œweâ,re [8] re,working [8] working,hard [8] hard,change [8] change,way [8] way,health [8] health,care [8] care,delivered Top Word Pairs in Tweet in G7:
[49] distinguished,guests [32] ghana,pioneer [32] pioneer,country [32] country,embracing [32] embracing,african [32] african,union [32] union,platforms [32] platforms,launched [32] launched,yesterday's [32] yesterday's,bomaofafrica Top Word Pairs in Tweet in G8:
[20] ehealth,ontario [13] ontario,8b [13] 8b,tax [13] money,vanished [13] vanished,under [13] under,liberals [13] liberals,conservatives [13] conservatives,ontarians [13] ontarians,still [13] still,lack Top Word Pairs in Tweet in G9:
[14] lã,ngst [13] ðÿž,folge [13] folge,136 [13] 136,clinical [13] clinical,data [13] data,repositoryðÿž [13] repositoryðÿž,lã [13] ngst,berfã [13] berfã,llig [13] llig,online Top Word Pairs in Tweet in G10:
[32] inviting,applications [27] find,job [24] ehealth,inviting [22] webinar,series [19] job,application [17] applications,number [17] number,senior [17] senior,roles [17] roles,within [17] #ehealth4all,jcwemyss 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 G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: