The graph represents a network of 2,988 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 Wednesday, 18 September 2019 at 13:37 UTC.
The requested start date was Monday, 16 September 2019 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, 15-hour, 3-minute period from Tuesday, 10 September 2019 at 08:57 UTC to Monday, 16 September 2019 at 00:01 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 : 2988
Unique Edges : 5131
Edges With Duplicates : 6554
Total Edges : 11685
Number of Edge Types : 3
Mentions : 10612
Tweet : 919
Replies to : 154
Self-Loops : 919
Reciprocated Vertex Pair Ratio : 0.0344827586206897
Reciprocated Edge Ratio : 0.0666666666666667
Connected Components : 241
Single-Vertex Connected Components : 120
Maximum Vertices in a Connected Component : 2469
Maximum Edges in a Connected Component : 11081
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.240748
Graph Density : 0.000668895871399895
Modularity : 0.435288
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[403] #ehealth,#onmedic [403] #onmedic,#pharma [309] #onmedic,#ehealth [237] #ehealth,#pharma [205] ncdcgov,chikwe_i [205] chikwe_i,afenetnigeria [176] fda,delivers [176] delivers,warning [176] warning,chinese [176] response,form Top Word Pairs in Tweet in G1:
[83] seguimiento,sobre [83] sobre,#ehealth [67] #ehealth,#digitalhealth [52] https,t [47] t,co [38] gesundheits,apps [36] umfrageteilnehmer,gesucht [36] gesucht,einem [36] einem,aktuellen [36] aktuellen,forschungsprojekt Top Word Pairs in Tweet in G2:
[84] ty,wef [68] wef,enricomolinari [38] #ehealth,#healthtech [37] digital,health [32] israeli,researchers [32] researchers,printed [32] printed,3d [32] 3d,heart [32] heart,human [32] human,cells Top Word Pairs in Tweet in G3:
[376] #ehealth,#onmedic [376] #onmedic,#pharma [287] #onmedic,#ehealth [217] #ehealth,#pharma [166] fda,delivers [166] delivers,warning [166] warning,chinese [166] response,form [166] form,483 [118] 483,#ehealth Top Word Pairs in Tweet in G4:
[16] santeos,#worldline's [15] #ehealth,#onmedic [15] #onmedic,#pharma [14] cdcgov,cdc_ehealth [12] #onmedic,#ehealth [11] heart,failure [10] learn,more [10] #worldline's,#ehealth [10] #ehealth,service [9] project,hearts Top Word Pairs in Tweet in G5:
[193] ncdcgov,chikwe_i [193] chikwe_i,afenetnigeria [105] afenetnigeria,afenetafrica [105] afenetafrica,cepivaccines [105] cepivaccines,nigeriafeltp [105] nigeriafeltp,ehealth_africa [105] ehealth_africa,resolvetsl [105] resolvetsl,ooaswaho [104] whonigeria,africacdc [90] afenetnigeria,nigeriafeltp Top Word Pairs in Tweet in G6:
[21] martaaymerich,carmecarrion [9] artificial,telemedicina [9] virtual,#bigdata [9] l,#ehealthuoc [9] ehealthuoc,martaaymerich [9] health,care [8] carmecarrion,l [8] carmecarrion,#ehealthuoc [8] excited,announce [8] announce,four Top Word Pairs in Tweet in G7:
[15] ehealth,ehth [9] deutsche,bank [7] #digitalhealth,#ehealth [6] ehth,downgraded [5] в,офісі [5] офісі,президента [5] президента,топ [5] топ,чиновники [4] ehealth,inc [4] чиновники,обговорили Top Word Pairs in Tweet in G8:
[22] vía,consalud_es [22] google,prohíbe [22] prohíbe,publicidad [22] publicidad,tratamientos [22] tratamientos,médicos [22] médicos,base [22] base,científica [21] científica,vía [18] angelopezh,google [15] consalud_es,#ehealth Top Word Pairs in Tweet in G9:
[34] #ehr,#emr [31] #hcsm,#doctors [28] #doctors,#hospital [28] #hospital,#health [28] #health,#ehr [28] #emr,#emrsoftware [27] #emrsoftware,#healthcareit [21] #healthcareit,#ehealth [18] priorities,new [18] commissioner,kyriakidestella Top Word Pairs in Tweet in G10:
[14] mental,health [4] find,difficult [3] maybe,noticed [3] read,more [3] health,problems [3] self,refer [2] psychological,wellbeing [2] wellbeing,practitioners [2] practitioners,pwp [2] pwp,use 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: