The graph represents a network of 3,378 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, 05 December 2022 at 06:31 UTC.
The requested start date was Monday, 05 December 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 13-day, 9-hour, 23-minute period from Monday, 21 November 2022 at 01:04 UTC to Sunday, 04 December 2022 at 10:28 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 : 3378
Unique Edges : 3773
Edges With Duplicates : 13586
Total Edges : 17359
Number of Edge Types : 5
Retweet : 4263
MentionsInRetweet : 6952
Mentions : 4249
Tweet : 1590
Replies to : 305
Self-Loops : 1931
Reciprocated Vertex Pair Ratio : 0.055858310626703
Reciprocated Edge Ratio : 0.105806451612903
Connected Components : 278
Single-Vertex Connected Components : 171
Maximum Vertices in a Connected Component : 2850
Maximum Edges in a Connected Component : 16606
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.276401
Graph Density : 0.000543501796098113
Modularity : 0.310245
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,378 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, 05 December 2022 at 06:31 UTC.
The requested start date was Monday, 05 December 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 13-day, 9-hour, 23-minute period from Monday, 21 November 2022 at 01:04 UTC to Sunday, 04 December 2022 at 10:28 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:
[593] #ehealth,#finserv [582] #csuite,#digitalhealth [578] #cx,#ehealth [576] #web3,#cx [576] #datascientist,#csuite [576] #digitalhealth,#web3 [545] #finserv,#cloud [414] #digitalhealth,#ehealth [364] chidambara09,#healthtech [358] #cloud,#insurtech Top Word Pairs in Tweet in G1:
[523] #ehealth,#finserv [512] #csuite,#digitalhealth [508] #cx,#ehealth [507] #datascientist,#csuite [506] #digitalhealth,#web3 [506] #web3,#cx [482] #finserv,#cloud [332] #cloud,#insurtech [301] chidambara09,#healthtech [277] #healthtech,#datascientist Top Word Pairs in Tweet in G2:
[198] #digitalhealth,#ehealth [189] #digital,#digitalhealth [155] #smartcity,#digital [76] digital,health [70] #ehealth,#health [66] #ehealth,#finserv [66] #cx,#ehealth [66] #web3,#cx [66] #digitalhealth,#web3 [66] #csuite,#digitalhealth Top Word Pairs in Tweet in G3:
[15] cdcemergency,cdc_ehealth [14] cdcgov,cdcdirector [11] cdcdirector,cdcemergency [9] cdcgov,cdc_ehealth [9] cdc_ehealth,cdcgov [8] cdc_ehealth,cdcglobal [7] cdcglobal,cdcfound [7] cdcdirector,cdc_ehealth [5] blood,clots [5] cdc_ehealth,cdcemergency Top Word Pairs in Tweet in G4:
[68] área,#ehealth [32] #digital,#digitalhealth [32] #ehealth,#43semi [31] #ehealth,congreso [31] congreso,sociedad_semi [29] gra_volpi,recainsanetwork [26] innovación,salud [26] sociedad_semi,#43semi [21] investigadora,visitante [20] #43semi,mencionado Top Word Pairs in Tweet in G5:
[13] #digitalhealth,#ehealth [13] #digital,#digitalhealth [11] #smartcity,#digital [9] ehealth,inc [8] ehealth,technologies [7] annual,enrollment [7] craig,hallum [7] enrollment,period [7] selection,trends [7] trends,during Top Word Pairs in Tweet in G6:
[113] selected,ceo [104] full,time [103] time,jobs [103] two,full [103] healthcare,managers [103] allowed,two [103] ontario,healthcare [103] jobs,selected [101] person,allowed [101] managers,person Top Word Pairs in Tweet in G7:
[116] incredible,solutions [116] creating,incredible [115] smart,contracts [115] products,web3 [115] web3,smart [115] solutions,products [113] contracts,digital [113] digital,identity [110] identity,smart [110] smart,energy Top Word Pairs in Tweet in G8:
[7] last,mile [6] technology,last [6] life,saving [6] saving,vaccines [6] delivery,life [6] role,technology [6] mile,delivery [5] vaccines,medicines [5] discussing,role [4] join,team Top Word Pairs in Tweet in G9:
[183] #ehealth,#healthcare [181] #healthcareit,#ehealth [176] #health,#healthcareit [176] #healthcare,#digitalhealth [77] #hospital,#clinics [75] #doctors,#hospital [67] #ehr,#emr [64] #clinics,#ehr [63] #emr,#health [17] inteligencia,artificial Top Word Pairs in Tweet in G10:
[60] continuumpharma,#digihealthdays [39] 3ème,édition [39] édition,#digihealthdays [39] #transfonum,#hcsmeufr [39] #ehealth,#transfonum [32] xavier,augay [29] ehopital,#digihealthdays [20] augay,docapost [17] gcs,sara [16] #digihealthdays,#lyon Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: