The graph represents a network of 4,932 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, 03 August 2020 at 05:05 UTC.
The requested start date was Monday, 03 August 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 9-day, 23-hour, 49-minute period from Thursday, 23 July 2020 at 11:40 UTC to Sunday, 02 August 2020 at 11:30 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 : 4932
Unique Edges : 6207
Edges With Duplicates : 15536
Total Edges : 21743
Number of Edge Types : 5
Retweet : 5109
MentionsInRetweet : 9259
Mentions : 5538
Tweet : 1408
Replies to : 429
Self-Loops : 1498
Reciprocated Vertex Pair Ratio : 0.0325153993739271
Reciprocated Edge Ratio : 0.0629828850855746
Connected Components : 327
Single-Vertex Connected Components : 174
Maximum Vertices in a Connected Component : 4208
Maximum Edges in a Connected Component : 20443
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.077558
Graph Density : 0.000420441179929417
Modularity : 0.389764
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 4,932 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, 03 August 2020 at 05:05 UTC.
The requested start date was Monday, 03 August 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 9-day, 23-hour, 49-minute period from Thursday, 23 July 2020 at 11:40 UTC to Sunday, 02 August 2020 at 11:30 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:
[734] enricomolinari,#ehealth [595] ty,realtechmatters [506] realtechmatters,enricomolinari [306] glass,water [306] water,produced [306] produced,solar [299] #medtech,#ai [296] roof,ty [293] seeker,enricomolinari [271] solar,panels Top Word Pairs in Tweet in G1:
[728] enricomolinari,#ehealth [581] ty,realtechmatters [493] realtechmatters,enricomolinari [301] glass,water [301] water,produced [301] produced,solar [291] #medtech,#ai [291] roof,ty [290] seeker,enricomolinari [266] solar,panels Top Word Pairs in Tweet in G2:
[141] realdonaldtrump,heritage [141] heritage,cdc_ehealth [135] investigator_51,realdonaldtrump [131] sweden,defeated [131] defeated,coronavirus [131] coronavirus,without [131] without,lockdown [131] lockdown,companies [130] cdc_ehealth,sweden [118] seen,last Top Word Pairs in Tweet in G3:
[57] ehealth,ehth [41] price,target [39] #covid19ph,#uhc [28] ehealth,inc [26] ehth,price [15] nurse,jocelyn [14] dr,villar [13] vp,torres [12] #ehealth,#health [11] target,lowered Top Word Pairs in Tweet in G4:
[80] inmiddels,komen [80] komen,patiënten [80] patiënten,die [80] die,ik [80] ik,naar [80] naar,ggz [80] ggz,verwijs [80] verwijs,terug [80] terug,omdat [80] omdat,ze Top Word Pairs in Tweet in G5:
[22] fmohnigeria,fmicnigeria [20] ehealth_africa,fmohnigeria [15] nighealthwatch,epidalert [14] unicef_nigeria,whonigeria [13] fmicnigeria,unicef_nigeria [13] whonigeria,ptfcovid19 [13] ptfcovid19,ureportnigeria [13] ureportnigeria,nighealthwatch [12] ncdcgov,ehealth_africa [8] #ehealth,#digitalhealth Top Word Pairs in Tweet in G6:
[4] dg_nta,hrdministry [4] hrdministry,drrpnishank [4] drrpnishank,indianexpress [4] indianexpress,toiindianews [4] toiindianews,amarujalanews [4] euinmyregion,#cohesionpolicy [4] #cohesionpolicy,help [4] help,europe [4] europe,fit [4] fit,digital Top Word Pairs in Tweet in G7:
[14] bonusheft,vergessen [14] vergessen,zukunft [14] zukunft,mehr [14] mehr,geben [14] geben,#mio [14] #mio,#zahnbonusheft [14] #zahnbonusheft,gemeinsam [14] gemeinsam,kzbv [14] kzbv,entwickelt [13] kbv4u,bonusheft Top Word Pairs in Tweet in G8:
[36] devez,faire [36] faire,test [36] test,#covid19 [36] #covid19,wallonie [36] wallonie,voici [36] voici,liste [36] liste,centres [36] centres,où [36] où,faire [36] faire,dépister Top Word Pairs in Tweet in G9:
[11] #digitalhealth,means [11] means,#mhealth [11] #mhealth,#telemedicine [11] #telemedicine,clinical [11] clinical,systems [11] systems,digitalization [11] digitalization,become [11] become,hermetic [11] hermetic,science [10] digital,health Top Word Pairs in Tweet in G10:
[69] online,digital [69] digital,health [69] health,world [69] world,congress [69] congress,2020 [69] 2020,virtual [69] virtual,conference [69] conference,sep [69] sep,29 [69] 29,30 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: