The graph represents a network of 5,012 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 Tuesday, 29 December 2020 at 06:05 UTC.
The requested start date was Monday, 28 December 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 13-day, 14-hour, 36-minute period from Monday, 14 December 2020 at 10:23 UTC to Monday, 28 December 2020 at 01:00 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 : 5012
Unique Edges : 7909
Edges With Duplicates : 15279
Total Edges : 23188
Number of Edge Types : 5
Mentions : 6436
Retweet : 4805
MentionsInRetweet : 9927
Replies to : 536
Tweet : 1484
Self-Loops : 1579
Reciprocated Vertex Pair Ratio : 0.0242943284103819
Reciprocated Edge Ratio : 0.0474362255780224
Connected Components : 303
Single-Vertex Connected Components : 173
Maximum Vertices in a Connected Component : 4386
Maximum Edges in a Connected Component : 22347
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.262589
Graph Density : 0.000466690758384228
Modularity : 0.426729
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,012 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 Tuesday, 29 December 2020 at 06:05 UTC.
The requested start date was Monday, 28 December 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 13-day, 14-hour, 36-minute period from Monday, 14 December 2020 at 10:23 UTC to Monday, 28 December 2020 at 01:00 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:
[382] enricomolinari,#ehealth [310] #ehealth,#health [265] covid,19 [254] #ai,#iot [243] seguimiento,#ehealth [237] realdonaldtrump,whitehouse [202] wef,enricomolinari [176] #ehealth,#mhealth [175] analyticsiot,enricomolinari [173] realtechmatters,enricomolinari Top Word Pairs in Tweet in G1:
[381] enricomolinari,#ehealth [294] #ehealth,#health [253] #ai,#iot [243] seguimiento,#ehealth [201] wef,enricomolinari [185] covid,19 [175] analyticsiot,enricomolinari [173] enricomolinari,#iiot [172] realtechmatters,enricomolinari [148] #ehealth,#ai Top Word Pairs in Tweet in G2:
[234] realdonaldtrump,whitehouse [157] cdcgov,cdc_ehealth [147] whitehouse,potus [147] potus,vp [119] cdc_ehealth,cdcdirector [105] 20,co [90] scotus,flotus [89] flotus,gop [87] vp,thejusticedept [87] thejusticedept,scotus Top Word Pairs in Tweet in G3:
[118] matt,anderson [75] uoft_dlsph,ontariohealthoh [72] ehealth,ontario [71] anderson,behind [68] behind,ehealth [62] ontario,scandal [61] celliottability,fordnation [61] fordnation,uoft_dlsph [58] ontariohealthoh,matt [48] scandal,ontario Top Word Pairs in Tweet in G4:
[14] 096,096 [9] malware,attack [7] update,ehealth [7] ehealth,cyberattack [7] ehealth,seba [7] website,wwwdotehealthsebadotcom [7] wwwdotehealthsebadotcom,hot [7] hot,line [7] line,096 [7] 096,96 Top Word Pairs in Tweet in G5:
[24] kommt,roadmap [24] roadmap,ti [24] ti,2026 [24] 2026,wann [24] wann,kommen [24] kommen,welche [24] welche,ti [24] ti,anwendungen [24] anwendungen,wann [24] wann,darf Top Word Pairs in Tweet in G6:
[115] landmark,milestone [115] telemedicine,service [114] milestone,ehealth [114] ehealth,journey [112] india,crossed [112] crossed,landmark [97] journey,#esanjeevani [97] #esanjeevani,telemedicine [97] service,mohfw_india [92] drharshvardhan,india Top Word Pairs in Tweet in G7:
[17] ehealth,systems [16] helping,eastern [16] eastern,partners [16] partners,build [16] build,ehealth [16] systems,compatible [16] compatible,one [16] one,another [13] eu,helping [13] another,help Top Word Pairs in Tweet in G8:
[65] fmohnigeria,fmicnigeria [44] ncdcgov,chikwe_i [43] noa_nigeria,whonigeria [41] ehealth_africa,ptfcovid19 [31] chikwe_i,fmohnigeria [31] chikwe_i,nighealthwatch [31] nighealthwatch,fmohnigeria [31] fmicnigeria,whoafro [31] whoafro,ehealth_africa [29] ptfcovid19,noa_nigeria Top Word Pairs in Tweet in G9:
[25] kunnen,meteen [25] meteen,aan [25] aan,toevoegen [25] toevoegen,minder [25] minder,actieprogramma's [25] actieprogramma's,minder [25] minder,ehealth [25] ehealth,mantra [25] mantra,minder [25] minder,inhuur Top Word Pairs in Tweet in G10:
[10] #ehealth,#digitalhealth [9] healthcare,sector [8] european,healthcare [8] sector,responded [8] responded,increase [8] increase,#cyberattacks [8] #cyberattacks,during [8] during,#covid19 [8] #covid19,pandemic [7] #saluddigital,#digitalhealth 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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