The graph represents a network of 4,609 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, 01 November 2021 at 05:30 UTC.
The requested start date was Monday, 01 November 2021 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 13-day, 1-hour, 18-minute period from Monday, 18 October 2021 at 10:02 UTC to Sunday, 31 October 2021 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 : 4609
Unique Edges : 4803
Edges With Duplicates : 15857
Total Edges : 20660
Number of Edge Types : 5
Mentions : 6504
Retweet : 4372
MentionsInRetweet : 7425
Replies to : 440
Tweet : 1919
Self-Loops : 2047
Reciprocated Vertex Pair Ratio : 0.0439814814814815
Reciprocated Edge Ratio : 0.0842572062084257
Connected Components : 375
Single-Vertex Connected Components : 203
Maximum Vertices in a Connected Component : 3786
Maximum Edges in a Connected Component : 19466
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.112311
Graph Density : 0.000382234486873508
Modularity : 0.343454
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,609 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, 01 November 2021 at 05:30 UTC.
The requested start date was Monday, 01 November 2021 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 13-day, 1-hour, 18-minute period from Monday, 18 October 2021 at 10:02 UTC to Sunday, 31 October 2021 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:
[507] #ehealth,#health [298] digital,health [275] #impinv,#vc [264] seguimiento,#ehealth [217] #ehealth,#healthcare [214] #healthcareit,#ehealth [212] add'l,biozhena [212] biozhena,file [211] biozhena,files [208] #digitalhealth,#ehealth Top Word Pairs in Tweet in G1:
[499] #ehealth,#health [275] #impinv,#vc [264] seguimiento,#ehealth [245] digital,health [214] #healthcareit,#ehealth [212] add'l,biozhena [212] biozhena,file [211] biozhena,files [207] #ehealth,#healthcare [202] #tech,#cloud Top Word Pairs in Tweet in G2:
[92] fbiwfo,fbi [92] fbi,interpol_hq [92] interpol_hq,interpol_usa [92] interpol_usa,usmarshalshq [92] usmarshalshq,thejointstaff [92] thejointstaff,dhsgov [80] julianassangepr,fbiwfo [69] dhsgov,deptofdefense [63] cdcgov,cdc_ehealth [60] cdcgov,cdcdirector Top Word Pairs in Tweet in G3:
[179] #web3,smart [179] smart,contracts [179] #evm,support [178] think,getting [178] getting,bullish [178] bullish,iota [178] iota,everywhere [178] everywhere,#web3 [178] contracts,#defi [178] #defi,#evm Top Word Pairs in Tweet in G4:
[17] covid,19 [13] ehealth,inc [8] ehealth,help [6] health,products [6] ehealth,system [6] open,enrollment [6] announce,third [6] third,quarter [6] quarter,2021 [6] 2021,earnings Top Word Pairs in Tweet in G5:
[115] matt,anderson [76] ehealth,ontario [73] behind,ehealth [68] ontario,scandal [67] anderson,behind [66] uoft_dlsph,ontariohealthoh [59] fordnation,uoft_dlsph [57] ontariohealthoh,matt [57] scandal,ontario [54] celliottability,fordnation Top Word Pairs in Tweet in G6:
[15] afrilabs,gathering [13] teresatavassoli,dramykharrison [13] dramykharrison,autistica [13] autistica,sedaf18 [12] good,job [12] job,enaira [12] enaira,esecurity [12] esecurity,ehealth [12] ehealth,einfrastructure [12] einfrastructure,eeducation Top Word Pairs in Tweet in G7:
[10] salud,digital [9] pleasure,see [9] see,application [9] application,sciroccoxchange [9] sciroccoxchange,self [9] self,assessment [9] assessment,tool [9] tool,assess [9] assess,readiness [9] readiness,implementation Top Word Pairs in Tweet in G8:
[35] asistentes,voz [24] design,thinking [22] cómo,ayudar [20] próximo,miércoles [20] miércoles,20 [20] 20,motivo [20] motivo,#hackathonsalud [20] #hackathonsalud,organizamos [20] organizamos,taller [20] taller,hablar Top Word Pairs in Tweet in G9:
[13] digital,ambitions [12] health,technology [12] latest,issue [12] issue,jbi [12] jbi,evidence [12] evidence,synthesis [12] synthesis,marks [12] marks,#worldebhcday [12] #worldebhcday,editorial [12] editorial,'striving Top Word Pairs in Tweet in G10:
[20] health,data [7] european,health [7] data,space [6] ehealth,network [6] medtecheurope,webinar [6] webinar,#interoperability [5] eu_health,eupatientsforum [5] live,medtecheurope [5] #interoperability,ron_roozendaal [5] ron_roozendaal,ehealth 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: