The graph represents a network of 3,206 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, 17 October 2022 at 05:37 UTC.
The requested start date was Monday, 17 October 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, 22-hour, 30-minute period from Tuesday, 04 October 2022 at 12:46 UTC to Friday, 14 October 2022 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 : 3206
Unique Edges : 3202
Edges With Duplicates : 13906
Total Edges : 17108
Number of Edge Types : 5
Retweet : 5002
MentionsInRetweet : 6405
Tweet : 1165
Mentions : 4334
Replies to : 202
Self-Loops : 1987
Reciprocated Vertex Pair Ratio : 0.0362969752520623
Reciprocated Edge Ratio : 0.0700513001945869
Connected Components : 236
Single-Vertex Connected Components : 124
Maximum Vertices in a Connected Component : 2623
Maximum Edges in a Connected Component : 16217
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.289494
Graph Density : 0.000550158001329411
Modularity : 0.286569
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 3,206 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, 17 October 2022 at 05:37 UTC.
The requested start date was Monday, 17 October 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, 22-hour, 30-minute period from Tuesday, 04 October 2022 at 12:46 UTC to Friday, 14 October 2022 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:
[1872] #ehealth,#finserv [1863] #finserv,#cloud [1836] #datascientist,#csuite [1833] #csuite,#digitalhealth [1833] #cx,#ehealth [1829] #healthtech,#datascientist [1785] #cloud,#insurtech [1754] #web3,#cx [1754] #digitalhealth,#web3 [1050] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[1804] #ehealth,#finserv [1795] #finserv,#cloud [1785] #datascientist,#csuite [1783] #cx,#ehealth [1783] #csuite,#digitalhealth [1780] #healthtech,#datascientist [1730] #cloud,#insurtech [1704] #web3,#cx [1704] #digitalhealth,#web3 [1001] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[65] #ehealth,#finserv [65] #finserv,#cloud [54] #cloud,#insurtech [51] #datascientist,#csuite [50] #cx,#ehealth [50] #web3,#cx [50] #digitalhealth,#web3 [50] #csuite,#digitalhealth [49] chidambara09,#healthtech [49] #healthtech,#datascientist Top Word Pairs in Tweet in G3:
[94] kibrom,head [94] dr,kibrom [94] alanboswell,#breakingnews [94] continues,tigray [94] hospital,report [94] killed,today [94] #breakingnews,genocide [94] genocide,continues [94] today,drones [94] ayder,hospital Top Word Pairs in Tweet in G4:
[18] security,conference [14] senior,vice [14] people,officer [14] vice,president [14] chief,people [14] brown,senior [14] appoints,jana [14] ehealth,appoints [14] president,chief [14] jana,brown Top Word Pairs in Tweet in G5:
[159] #digital,backbone [159] #india,#covid_19 [159] #program,#suggest [159] #cowin,#successfully [159] #didyouknow,#cowin [159] #served,#digital [159] #vaccination,#program [159] backbone,#india [159] #successfully,#served [159] #covid_19,#vaccination Top Word Pairs in Tweet in G6:
[14] ehealth,magazine [9] senior,vice [9] people,officer [9] vice,president [9] chief,people [9] appoints,jana [9] ehealth,appoints [9] jana,brown [8] brown,senior [8] president,chief Top Word Pairs in Tweet in G7:
[24] ehealth,ontario [19] records,reliable [19] reliable,pandemic [19] integrated,health [19] those,behind [19] remember,ehealth [19] 8b,tax [19] tax,payer [19] ontarians,still [19] health,records Top Word Pairs in Tweet in G8:
[6] many,congratulations [4] nhs,england [4] cholera,prevention [4] education,institutions [4] many,times [4] standard,operating [3] healthcare,professionals [3] nhs,systems [3] months,ending [3] 12,months Top Word Pairs in Tweet in G9:
[30] unocha,eucourtpress [30] ifrc,redcross [30] ehealth_eu,ifrc [30] un_women,unhumanrights [30] statedept,ehealth_eu [30] unhumanrights,unocha [29] eucourtpress,potus [29] potus,statedept [28] redcross,redcrosseu [26] britishredcross,redcrosscanada Top Word Pairs in Tweet in G10:
[12] #ehealth,dvt [10] latest,paper [10] human,centered [10] dvt,requires [10] monitor,evaluate [10] paper,patient [10] education,awareness [10] patient,driven [10] awareness,frameworks [10] requires,education Top Replied-To in Entire Graph:
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Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: