The graph represents a network of 5,060 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, 21 September 2020 at 05:01 UTC.
The requested start date was Monday, 21 September 2020 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, 18-hour, 12-minute period from Monday, 07 September 2020 at 20:35 UTC to Sunday, 20 September 2020 at 14:47 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 : 5060
Unique Edges : 6392
Edges With Duplicates : 13339
Total Edges : 19731
Number of Edge Types : 5
Retweet : 4519
MentionsInRetweet : 8157
Tweet : 1883
Mentions : 4697
Replies to : 475
Self-Loops : 1994
Reciprocated Vertex Pair Ratio : 0.0399577167019027
Reciprocated Edge Ratio : 0.0768448871721895
Connected Components : 385
Single-Vertex Connected Components : 201
Maximum Vertices in a Connected Component : 4181
Maximum Edges in a Connected Component : 18244
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.48088
Graph Density : 0.000384318793181174
Modularity : 0.433554
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 5,060 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, 21 September 2020 at 05:01 UTC.
The requested start date was Monday, 21 September 2020 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, 18-hour, 12-minute period from Monday, 07 September 2020 at 20:35 UTC to Sunday, 20 September 2020 at 14:47 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:
[339] #ehealth,#health [315] seguimiento,#ehealth [258] covid,19 [191] #ai,#iot [183] cdcgov,cdc_ehealth [180] digital,health [175] wef,enricomolinari [138] ghirardieugenio,seguimiento [134] #ehealth,#healthcare [131] #digitalhealth,#ehealth Top Word Pairs in Tweet in G1:
[315] seguimiento,#ehealth [285] #ehealth,#health [162] covid,19 [138] ghirardieugenio,seguimiento [124] #health,#healthcareit [115] #hospital,#health [113] #healthcareit,#ehealth [110] #ehealth,#healthcare [95] #doctors,#hospital [78] #healthcare,#digitalhealth Top Word Pairs in Tweet in G2:
[160] #ai,#iot [160] wef,enricomolinari [92] #ehealth,#ai [77] #insurtech,#ehealth [77] #ehealth,roadmap [77] roadmap,#innovation [68] #artificialintelligence,#ai [65] enricomolinari,#ehealth [61] enricomolinari,#ai [53] #robotics,#ai Top Word Pairs in Tweet in G3:
[182] cdcgov,cdc_ehealth [122] jali_cat,cdcdirector [114] cdcdirector,absolute [114] absolute,deep [114] deep,state [114] state,swamp [114] swamp,creature [114] creature,entire [114] entire,cdcgov [114] cdc_ehealth,needs Top Word Pairs in Tweet in G4:
[12] refresher,training [12] training,attendanywhere [12] attendanywhere,available [12] available,ehealth [12] ehealth,ireland [12] ireland,website [11] ehealthireland,refresher [10] network,webinar [10] know,europeans [10] europeans,prescriptions Top Word Pairs in Tweet in G5:
[16] #ehealth,#health [10] ehealth,inc [8] #digitalhealth,#ehealth [7] ehth,ehealth [7] iot,ehealth [7] inc,ehth [6] learn,more [6] ehealth,literacy [6] #health,#healthcare [6] spark,doubles Top Word Pairs in Tweet in G6:
[15] unterhuber,kbv4u [12] kbv4u,jensspahn [12] jensspahn,_gludewig [12] _gludewig,jfdebatin [12] jfdebatin,mleyckdieken [10] die,tagung [10] 17,11 [10] 11,2020 [8] smuellermielitz,fredsauerbruch [8] fredsauerbruch,unterhuber Top Word Pairs in Tweet in G7:
[74] kaggle,udacity [74] udacity,googledevs [67] programmers,day [66] today,256th [66] 256th,day [66] day,year [66] year,happy [66] happy,programmers [66] day,#100daysofcode [66] #100daysofcode,#machinelearning Top Word Pairs in Tweet in G8:
[60] rchtqihub,plymuni [58] epic_ehealth,mymhealthltd [58] mymhealthltd,rchtqihub [27] nursingpunc18,epic_ehealth [19] plymuni,thanks [14] digital,technology [13] mental,health [12] outpatient,mental [11] well,done [11] plymuni,congratulations Top Word Pairs in Tweet in G9:
[18] ehealth,ontario [11] people,behind [11] lost,billion [10] behind,scandal [10] scandal,still [10] still,working [10] closer,look [10] ontario,lost [9] worst,part [9] part,people Top Word Pairs in Tweet in G10:
[20] global,consortium [19] consortium,ehealth [17] #digitalhealth,#ehealth [16] ehealth,interoperability [13] health,data [13] #ehealth,#healthit [12] #healthit,#medtech [12] #medtech,#healthtech [11] #himsseurope20,#digitalhealth [10] global,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: