The graph represents a network of 478 Twitter users whose tweets in the requested range contained "philipshealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 01 December 2019 at 18:21 UTC.
The requested start date was Sunday, 01 December 2019 at 01:01 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 13-day, 17-hour, 54-minute period from Sunday, 17 November 2019 at 01:40 UTC to Saturday, 30 November 2019 at 19:35 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 : 478
Unique Edges : 611
Edges With Duplicates : 265
Total Edges : 876
Number of Edge Types : 3
Mentions : 802
Replies to : 44
Tweet : 30
Self-Loops : 30
Reciprocated Vertex Pair Ratio : 0.0253731343283582
Reciprocated Edge Ratio : 0.049490538573508
Connected Components : 5
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 474
Maximum Edges in a Connected Component : 872
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.022352
Graph Density : 0.00301307860319465
Modularity : 0.571174
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 478 Twitter users whose tweets in the requested range contained "philipshealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 01 December 2019 at 18:21 UTC.
The requested start date was Sunday, 01 December 2019 at 01:01 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 13-day, 17-hour, 54-minute period from Sunday, 17 November 2019 at 01:40 UTC to Saturday, 30 November 2019 at 19:35 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 : philipshealth
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:
[60] kayla,bartlett [60] bartlett,professional [60] professional,ballerina [60] ballerina,shares [60] shares,ultrasound [60] ultrasound,diagnosed [60] diagnosed,guided [60] guided,treatment [60] treatment,help [60] help,dance Top Word Pairs in Tweet in G1:
[60] kayla,bartlett [60] bartlett,professional [60] professional,ballerina [60] ballerina,shares [60] shares,ultrasound [60] ultrasound,diagnosed [60] diagnosed,guided [60] guided,treatment [60] treatment,help [60] help,dance Top Word Pairs in Tweet in G2:
[4] market,expected [3] key,players [3] grow,cagr [2] #digital,#xray [2] download,sample [2] #healthcare,#finance [2] 2019,2026 [2] sample,report [2] report,key [2] #bigdata,#healthcare Top Word Pairs in Tweet in G3:
[2] #tech,brand [2] brand,nokia [2] nokia,nokiahealthcare [2] nokiahealthcare,saptelcomedia [2] saptelcomedia,sap [2] sap,uipath [2] uipath,verv_inc [2] verv_inc,intersystems [2] intersystems,azure [2] mashable,dynabookuk Top Word Pairs in Tweet in G4:
[10] time,brain [10] brain,#stroke [10] #stroke,philipshealth [10] philipshealth,announced [10] announced,global [10] global,clinical [10] clinical,trial [10] trial,today [10] today,pi [10] pi,dr Top Word Pairs in Tweet in G5:
[10] focus,hebdomadaire [10] hebdomadaire,classement [10] fournisseurs,médicaux [9] l',ugap [8] gehealthcare,philipshealth [7] médicaux,l' [7] montant,d'achat [6] philipshealth,arjo [6] arjo,dutscher [6] dutscher,hillromfr Top Word Pairs in Tweet in G6:
[5] congratulations,dr [5] dr,benoit [5] benoit,thomas [5] thomas,performing [5] performing,one [5] one,millionth [5] millionth,procedure [5] procedure,#azurion [5] #azurion,system [5] system,philipshealth Top Word Pairs in Tweet in G8:
[2] transformación,digital [2] digital,futuro [2] futuro,medicina [2] medicina,protagonistas [2] protagonistas,jornada [2] jornada,frontiershealth Top Word Pairs in Tweet in G9:
[4] thank,#ress19 [4] #ress19,exhibitors [4] exhibitors,bdandco [4] bdandco,neuropticsinc [4] neuropticsinc,philipshealth [4] philipshealth,strykercomm [4] strykercomm,youcansavealife [3] ahameetings,thank [3] youcansavealife,med Top Word Pairs in Tweet in G10:
[2] doctor,patient [2] patient,relationship [2] relationship,simple [2] simple,healthcare [2] healthcare,space [2] space,getting [2] getting,bot [2] bot,mated 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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