The graph represents a network of 4,666 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 August 2021 at 05:20 UTC.
The requested start date was Monday, 16 August 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 12-day, 11-hour, 9-minute period from Monday, 02 August 2021 at 00:11 UTC to Saturday, 14 August 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 : 4666
Unique Edges : 5723
Edges With Duplicates : 15142
Total Edges : 20865
Number of Edge Types : 5
Retweet : 3935
MentionsInRetweet : 7386
Replies to : 542
Mentions : 7331
Tweet : 1671
Self-Loops : 1725
Reciprocated Vertex Pair Ratio : 0.02559456398641
Reciprocated Edge Ratio : 0.0499116607773852
Connected Components : 339
Single-Vertex Connected Components : 175
Maximum Vertices in a Connected Component : 3874
Maximum Edges in a Connected Component : 19706
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.410298
Graph Density : 0.000416044735835023
Modularity : 0.375971
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,666 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 August 2021 at 05:20 UTC.
The requested start date was Monday, 16 August 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 12-day, 11-hour, 9-minute period from Monday, 02 August 2021 at 00:11 UTC to Saturday, 14 August 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:
[318] #ehealth,#health [317] seguimiento,#ehealth [299] #impinv,#vc [292] cdcdirector,cdc_ehealth [267] cdcgov,cdctravel [266] cdctravel,cdcdirector [239] healthcare,system [238] ehealth,cards [236] world,class [236] delhiites,soon Top Word Pairs in Tweet in G1:
[317] seguimiento,#ehealth [304] #ehealth,#health [172] enricomolinari,#ehealth [164] #ehealth,#mhealth [138] ghirardieugenio,seguimiento [119] wef,enricomolinari [110] digital,health [106] mashable,enricomolinari [99] #digitalhealth,#wearables [97] #ehealth,#ai Top Word Pairs in Tweet in G2:
[287] cdcdirector,cdc_ehealth [267] cdcgov,cdctravel [266] cdctravel,cdcdirector [208] cdc_ehealth,whcovidresponse [187] #loveisnottourism,cdcgov [135] whcovidresponse,surgeon_general [123] surgeon_general,presssec [107] potus,vp [105] cdcemergency,cdc_ehealth [97] presssec,potus Top Word Pairs in Tweet in G3:
[102] matt,anderson [69] ehealth,ontario [59] uoft_dlsph,ontariohealthoh [57] anderson,behind [57] behind,ehealth [55] ontario,scandal [47] scandal,ontario [46] ontario,lost [44] lost,billion [44] billion,aldasteinn Top Word Pairs in Tweet in G4:
[237] ehealth,cards [236] healthcare,system [236] world,class [236] delhiites,soon [236] soon,ehealth [235] delhi,healthcare [235] system,go [235] go,world [235] class,delhiites [235] govt,health Top Word Pairs in Tweet in G5:
[202] non,sono [202] sono,criptati [182] qr,code [181] sapevate,dati [181] dati,vengono [181] vengono,verificati [181] verificati,dagli [181] dagli,esercenti [181] esercenti,acquisendo [181] acquisendo,qr Top Word Pairs in Tweet in G6:
[18] ehealth,africa [12] africa,eha [10] learn,more [10] taking,india [10] india,ehealth [10] ehealth,journey [10] journey,forward [10] forward,esanjeevani [10] esanjeevani,touches [10] touches,milestone Top Word Pairs in Tweet in G7:
[69] eu,creating [69] creating,common [69] common,health [69] health,data [69] data,space [69] space,citizens [69] citizens,easily [69] easily,access [69] access,health [69] health,records Top Word Pairs in Tweet in G8:
[8] cdcgov,cdc_ehealth [6] cdcdirector,cdcgov [5] manhattanda,naacp [5] naacp,aclu [5] aclu,hrc [5] hrc,housedemocrats [5] housedemocrats,senatedems [4] ronaldklain,marceelias [3] #greennewdeal,#census [3] #census,#swifties Top Word Pairs in Tweet in G9:
[21] excited,#ghcon2021 [21] #ghcon2021,#gnuhealth [21] #gnuhealth,international [21] international,conference [21] conference,dec [21] dec,10 [21] 10,11 [21] 11,2021 [21] 2021,registration [21] registration,open Top Word Pairs in Tweet in G10:
[9] martymakary,benshapiro [8] joebiden,cdc_ehealth [8] cdc_ehealth,cdcdirector [8] cdcdirector,ldn_gov [8] ldn_gov,covid19tracking [7] brandonplany,martymakary [6] benshapiro,joebiden [5] vaccinations,card [4] cdcemergency,cdc_ehealth [4] federal,buildings Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: