The graph represents a network of 647 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 Monday, 04 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 : 647
Unique Edges : 962
Edges With Duplicates : 370
Total Edges : 1332
Number of Edge Types : 3
Mentions : 1214
Replies to : 69
Tweet : 49
Self-Loops : 49
Reciprocated Vertex Pair Ratio : 0.040737148399612
Reciprocated Edge Ratio : 0.0782851817334576
Connected Components : 10
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 634
Maximum Edges in a Connected Component : 1317
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.127989
Graph Density : 0.00256721902948115
Modularity : 0.622436
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 647 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 Monday, 04 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] philipshealth,cerner [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 Top Word Pairs in Tweet in G4:
[2] ap,apple 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:
[2] lasercat,way [2] way,used [2] used,treat [2] treat,subacute [2] subacute,#thrombosis [2] #thrombosis,#instent [2] #instent,#popliteal [2] #popliteal,#artery [2] #artery,96 [2] 96,#singlevesselrunoff Top Word Pairs in Tweet in G7:
[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 G8:
[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 G9:
[2] wearablesexpert,vmworld [2] vmworld,vmwarehit [2] vmwarehit,cdw_healthcare [2] cdw_healthcare,samsungpulse [2] samsungpulse,oracleopenworld [2] oracleopenworld,jblefevre60 [2] jblefevre60,healthcareldr [2] healthcareldr,eagle_labs_hlth [2] nhsdigital,exponhs [2] exponhs,nhsx Top Word Pairs in Tweet in G10:
[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 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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