The graph represents a network of 4,684 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, 25 October 2021 at 05:21 UTC.
The requested start date was Monday, 25 October 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, 10-hour, 55-minute period from Monday, 11 October 2021 at 00:14 UTC to Sunday, 24 October 2021 at 11:10 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 : 4684
Unique Edges : 4906
Edges With Duplicates : 15099
Total Edges : 20005
Number of Edge Types : 5
Mentions : 6179
MentionsInRetweet : 7137
Retweet : 4308
Tweet : 1923
Replies to : 458
Self-Loops : 2013
Reciprocated Vertex Pair Ratio : 0.0479622592058708
Reciprocated Edge Ratio : 0.0915343253720145
Connected Components : 403
Single-Vertex Connected Components : 218
Maximum Vertices in a Connected Component : 3387
Maximum Edges in a Connected Component : 17954
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.310803
Graph Density : 0.000364574301035798
Modularity : 0.358815
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,684 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, 25 October 2021 at 05:21 UTC.
The requested start date was Monday, 25 October 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, 10-hour, 55-minute period from Monday, 11 October 2021 at 00:14 UTC to Sunday, 24 October 2021 at 11:10 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:
[480] covid,19 [413] #ehealth,#health [354] berita,baik [354] baik,untuk [354] untuk,mereka [354] mereka,yang [354] yang,ingin [354] ingin,masuk [354] masuk,ke [354] ke,sarawak Top Word Pairs in Tweet in G1:
[317] #impinv,#vc [247] add'l,biozhena [247] biozhena,file [246] biozhena,files [173] files,downloads [159] #ehealth,#impinv [159] #vc,#obgyn [159] #obgyn,#obgyntwitter [159] #obgyntwitter,#tryingtoconceive [159] #tryingtoconceive,#medx Top Word Pairs in Tweet in G2:
[261] #ehealth,#health [185] seguimiento,#ehealth [178] #ar,#vr [167] #innovation,#industry40 [167] #industry40,#iot [166] #5g,#ehealth [166] #ehealth,#ar [166] #vr,#smartcities [166] #smartcities,#innovation [166] #iot,#future Top Word Pairs in Tweet in G3:
[83] fbiwfo,fbi [83] fbi,interpol_hq [83] interpol_hq,interpol_usa [83] interpol_usa,usmarshalshq [83] usmarshalshq,thejointstaff [83] thejointstaff,dhsgov [80] julianassangepr,fbiwfo [65] dhsgov,deptofdefense [64] cdcemergency,cdc_ehealth [58] mrsc_assange,julianassangepr Top Word Pairs in Tweet in G4:
[355] covid,19 [354] berita,baik [354] baik,untuk [354] untuk,mereka [354] mereka,yang [354] yang,ingin [354] ingin,masuk [354] masuk,ke [354] ke,sarawak [354] sarawak,bermula Top Word Pairs in Tweet in G5:
[192] matt,anderson [136] ehealth,ontario [115] uoft_dlsph,ontariohealthoh [115] anderson,behind [115] behind,ehealth [104] fordnation,uoft_dlsph [96] ontario,scandal [90] ontariohealthoh,matt [85] celliottability,fordnation [83] scandal,ontario Top Word Pairs in Tweet in G6:
[17] ehealth,inc [10] covid,19 [8] help,consumers [8] ehealth,zagreb [7] ehealth,solutions [7] open,enrollment [6] ehealth,system [6] health,products [6] inc,current [6] current,quarter Top Word Pairs in Tweet in G7:
[35] asistentes,voz [26] 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 G8:
[30] nhmrht,moyneflu [29] akara_robotics,engineeve [29] engineeve,cian_donovan [29] cian_donovan,martingcurley1 [29] martingcurley1,nhmrht [29] moyneflu,thedigitalhub [29] thedigitalhub,ei_sburke [27] ei_sburke,angionata [27] angionata,epic_ehealth [18] thebotmechanic,akara_robotics Top Word Pairs in Tweet in G9:
[10] self,assessment [10] assessment,tool [10] better,idea [10] idea,state [10] state,play [10] play,#ehealth [10] #ehealth,europan [10] europan,member [10] member,states [10] states,progressing Top Word Pairs in Tweet in G10:
[9] nighealthwatch,kola_aina [9] kola_aina,ehealth_africa [9] ehealth_africa,whonigeria [9] whonigeria,unfpanigeria [9] unfpanigeria,undpnigeria [9] undpnigeria,thereboot [9] thereboot,h_s_global [8] worldhealthsmt,berlin [8] berlin,online [8] online,country Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G10: