The graph represents a network of 4,085 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 May 2020 at 06:32 UTC.
The requested start date was Monday, 25 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 19-hour, 47-minute period from Monday, 18 May 2020 at 15:49 UTC to Sunday, 24 May 2020 at 11:37 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 : 4085
Unique Edges : 5831
Edges With Duplicates : 10227
Total Edges : 16058
Number of Edge Types : 5
Retweet : 3369
MentionsInRetweet : 6144
Tweet : 918
Mentions : 5240
Replies to : 387
Self-Loops : 978
Reciprocated Vertex Pair Ratio : 0.0269775948788294
Reciprocated Edge Ratio : 0.0525378450578807
Connected Components : 266
Single-Vertex Connected Components : 136
Maximum Vertices in a Connected Component : 3444
Maximum Edges in a Connected Component : 14990
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.252388
Graph Density : 0.000538507738950821
Modularity : 0.484588
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 4,085 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 May 2020 at 06:32 UTC.
The requested start date was Monday, 25 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 19-hour, 47-minute period from Monday, 18 May 2020 at 15:49 UTC to Sunday, 24 May 2020 at 11:37 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 G2:
[257] #ehealth,#health [257] digital,health [235] covid,19 [194] online,digital [167] health,world [133] world,congress [133] congress,2020 [129] 2020,virtual [129] virtual,conference [129] conference,june Top Word Pairs in Tweet in G3:
[117] cdcgov,cdc_ehealth [95] cdcemergency,cdc_ehealth [87] cdcgov,cdcemergency [64] cdc_ehealth,cdcflu [64] cdc_ehealth,cdcemergency [64] cdc_ehealth,cdcgov [64] covid,19 [64] cdc_ehealth,cdcdirector [64] cdcflu,cdcglobal [64] senate,congress Top Word Pairs in Tweet in G4:
[48] ncdcgov,fmohnigeria [32] sample,collection [26] knsmoh,kanostateng [16] fmohnigeria,fmicnigeria [15] fmicnigeria,nighealthwatch [11] nighealthwatch,epidalert [11] epidalert,dreoehanire [11] dreoehanire,africacdc [11] africacdc,epiafric [9] epiafric,ehealth_africa Top Word Pairs in Tweet in G5:
[95] fantastic,response [70] response,colleagues [67] colleagues,ehealth [62] ehealth,directorate [61] directorate,nhsggc [61] nhsggc,during [61] during,#covid19 [61] #covid19,pandemic [61] pandemic,focus [61] nhsggcehealth,fantastic Top Word Pairs in Tweet in G6:
[54] ehealth,pediatric [54] pediatric,summit [54] summit,clinical [54] clinical,innovation [54] innovation,evidence [54] evidence,based [54] based,practice [54] therapists,telehealth [54] attending,ehealth [53] practice,pediatric Top Word Pairs in Tweet in G7:
[21] grup,recerca [21] recerca,uoc [21] evalapps,#app [21] apps,controlar [21] #app,avalua [21] salud,digital [21] controlar,#peso [21] crida,grup [20] uoc,desenvolupat [20] desenvolupat,projecte Top Word Pairs in Tweet in G8:
[21] gt,gt [21] covid,19 [19] 19,update [19] update,gt [18] ehealth,ontario [16] #digitalhealth,#ehealth [13] #healthresearch,#ehealth [12] #ehealth,#healtheducation [12] #healtheducation,#digitalhealth [12] #digitalhealth,#universalhealth Top Word Pairs in Tweet in G9:
[8] nuestro,webinar [7] webinar,reconocimiento [5] reconocimiento,voz [5] voz,esalud [5] jueves,21 [4] 21,mayo [3] mayo,16 [3] 16,30 [3] invoxmedical,jueves [3] 30,os Top Word Pairs in Tweet in G10:
[59] industrie,zugang [59] retten,leben [59] spectaris,vdgh [44] zugang,gesundheitsdaten [43] die,industrie [43] zugang,#gesundheitsdaten [43] #gesundheitsdaten,forschungszwecke [43] forschungszwecke,schreibt [41] schreibt,dt_aerzteblatt [38] dt_aerzteblatt,greift 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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