The graph represents a network of 4,883 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, 16 November 2020 at 06:06 UTC.
The requested start date was Monday, 16 November 2020 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 11-day, 6-hour, 57-minute period from Monday, 02 November 2020 at 12:48 UTC to Friday, 13 November 2020 at 19:45 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 : 4883
Unique Edges : 5510
Edges With Duplicates : 12750
Total Edges : 18260
Number of Edge Types : 5
Mentions : 4124
Retweet : 4549
MentionsInRetweet : 7440
Replies to : 293
Tweet : 1854
Self-Loops : 1900
Reciprocated Vertex Pair Ratio : 0.0443719018256559
Reciprocated Edge Ratio : 0.0849733734660801
Connected Components : 399
Single-Vertex Connected Components : 225
Maximum Vertices in a Connected Component : 4049
Maximum Edges in a Connected Component : 16940
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.070298
Graph Density : 0.000362350362681755
Modularity : 0.404835
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,883 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, 16 November 2020 at 06:06 UTC.
The requested start date was Monday, 16 November 2020 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 11-day, 6-hour, 57-minute period from Monday, 02 November 2020 at 12:48 UTC to Friday, 13 November 2020 at 19:45 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:
[279] covid,19 [259] #ehealth,#health [244] seguimiento,#ehealth [224] wef,enricomolinari [195] enricomolinari,#ehealth [184] #ehealth,#ai [184] digital,health [182] 096,096 [158] #ai,#iot [137] #health,#healthcareit Top Word Pairs in Tweet in G1:
[146] #ehealth,#health [112] covid,19 [87] #health,#healthcareit [87] #doctors,#hospital [85] ghirardieugenio,seguimiento [85] seguimiento,#ehealth [83] #hospital,#health [82] #healthcareit,#ehealth [77] #ehealth,#healthcare [67] #digitalhealth,#ehealth Top Word Pairs in Tweet in G2:
[214] wef,enricomolinari [175] enricomolinari,#ehealth [160] #ehealth,#ai [140] #ai,#iot [99] enricomolinari,#smartcities [76] #solar,#energy [76] #energy,without [76] without,hassle [76] hassle,installing [76] installing,panels Top Word Pairs in Tweet in G3:
[64] #ehealth,#salud [41] #salud,#farmacia [40] #quedateencasa,#lavatelasmanos [33] #covidãƒ,19 [33] #farmacia,#farmacã [33] #farmacã,uticos [31] #salud,#ehealth [31] #ehealth,#covid [31] #covid,#covid19 [31] cdcgov,cdcemergency Top Word Pairs in Tweet in G4:
[182] 096,096 [91] ehealth,seba [91] website,wwwdotehealthsebadotcom [91] wwwdotehealthsebadotcom,hot [91] hot,line [91] line,096 [91] 096,96 [91] 96,#ehealthseba [91] #ehealthseba,#onlinemedicalcenter [91] #onlinemedicalcenter,#onlineseba Top Word Pairs in Tweet in G5:
[26] last,#ceftelecom [26] #ceftelecom,call [17] 36,million [17] connect,#europe [17] #europe,digitally [16] #bris,#cybersecurity [14] âœ,today [14] today,last [14] last,day [14] day,apply Top Word Pairs in Tweet in G6:
[154] seguimiento,#ehealth [63] digital,health [58] #ehealth,#health [54] covid,19 [50] #health,#healthcareit [50] #healthcareit,#ehealth [45] online,digital [45] health,world [45] world,congress [45] congress,2020 Top Word Pairs in Tweet in G7:
[34] #ehealth,#interoperability [25] #interoperability,day [23] belgian,ehealth [20] ehealth,interoperability [20] interoperability,day [17] online,#ehealth [17] still,time [17] time,register [15] ihe_europe,still [14] miss,online Top Word Pairs in Tweet in G8:
[75] nuevo,manejo [75] manejo,paciente [73] congreso,virtual [50] lideramos,juntos [50] juntos,nuevo [50] paciente,crónico [50] crónico,dr [50] dr,alfonso [50] alfonso,valle [50] valle,vallealfonso Top Word Pairs in Tweet in G9:
[16] digital,health [15] 11,december [14] classifications,terminologies [14] terminologies,unit [14] unit,#worldhealthorganization [14] #worldhealthorganization,pleased [14] pleased,announce [14] announce,series [14] series,webinar [14] webinar,#icd11 Top Word Pairs in Tweet in G10:
[18] #healthcare,#ehealth [11] quirófano,mejorado [11] mejorado,gracias [11] gracias,#realidadaumentada [11] #realidadaumentada,#innovación [11] #innovación,#ar [11] #ar,#xr [11] #xr,#hololens [11] #hololens,#salud [11] #salud,#healthcare 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: