The graph represents a network of 644 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, 03 November 2019 at 14:34 UTC.
The requested start date was Sunday, 03 November 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 13-day, 23-hour, 37-minute period from Sunday, 20 October 2019 at 00:22 UTC to Sunday, 03 November 2019 at 00:00 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 : 644
Unique Edges : 953
Edges With Duplicates : 370
Total Edges : 1323
Number of Edge Types : 3
Mentions : 1205
Replies to : 69
Tweet : 49
Self-Loops : 49
Reciprocated Vertex Pair Ratio : 0.0410958904109589
Reciprocated Edge Ratio : 0.0789473684210526
Connected Components : 10
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 631
Maximum Edges in a Connected Component : 1308
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.127348
Graph Density : 0.00256947731422003
Modularity : 0.625049
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 644 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, 03 November 2019 at 14:34 UTC.
The requested start date was Sunday, 03 November 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 13-day, 23-hour, 37-minute period from Sunday, 20 October 2019 at 00:22 UTC to Sunday, 03 November 2019 at 00:00 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[56] kayla,bartlett [56] bartlett,professional [56] professional,ballerina [56] ballerina,shares [56] shares,ultrasound [56] ultrasound,diagnosed [56] diagnosed,guided [56] guided,treatment [56] treatment,help [56] help,dance Top Word Pairs in Tweet in G1:
[56] kayla,bartlett [56] bartlett,professional [56] professional,ballerina [56] ballerina,shares [56] shares,ultrasound [56] ultrasound,diagnosed [56] diagnosed,guided [56] guided,treatment [56] treatment,help [56] help,dance Top Word Pairs in Tweet in G2:
[7] interview,leading [7] leading,dutch [7] dutch,newspaper [7] newspaper,philipshealth [7] philipshealth,ceo [7] ceo,frans [7] frans,van [7] van,houten [7] houten,image [7] image,guided Top Word Pairs in Tweet in G3:
[2] ap,apple [2] market,size Top Word Pairs in Tweet in G4:
[2] gehealthcare,boehringer [2] boehringer,deloittehealth [2] deloittehealth,pwchealth [2] pwchealth,philipshealth [2] philipshealth,healthcaregov [2] healthcaregov,healthcarecity [2] healthcarecity,gdnhealthcare [2] deloittehealth,gehealthcare [2] #uxh20,amsterdam [2] amsterdam,call Top Word Pairs in Tweet in G5:
[3] healthythinker,garyshapiro [3] garyshapiro,martinomalley [3] martinomalley,chryseplanatia [3] chryseplanatia,duffeychris [3] duffeychris,jkosseff [3] jkosseff,terrybarclay [3] terrybarclay,lakitalki [3] lakitalki,dhsummit [3] dhsummit,lidtevents [3] lidtevents,gilbertguide Top Word Pairs in Tweet in G6:
[8] focus,hebdomadaire [8] hebdomadaire,sur [8] sur,classement [8] classement,2019 [8] 2019,des [8] des,fournisseurs [8] fournisseurs,médicaux [8] l',ugap [6] médicaux,l' [6] immédiatement,disponible Top Word Pairs in Tweet in G7:
[16] liverpool,neonatal [16] neonatal,partnership [15] partnership,liverpoolwomens [15] liverpoolwomens,alderheyinnov [12] alderheyinnov,alderhey [11] alderhey,visiting [11] visiting,nicu [11] nicu,mmc [11] mmc,industry [11] industry,partner Top Word Pairs in Tweet in G8:
[5] hilaazadzoy,janphilippbeck [5] janphilippbeck,marsemo [4] philips,philipshealth [3] role,ai [3] ai,healthcare [3] healthcare,innovation [3] innovation,discussed [3] discussed,world [3] world,health [3] health,summit Top Word Pairs in Tweet in G10:
[4] data,imaging' [4] 22,nov'19 [4] nov'19,london [4] register,now [3] 'big,data [3] imaging',fast [3] fast,approaching [3] approaching,22 [3] london,unmissable [3] unmissable,line 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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