The graph represents a network of 620 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, 22 December 2019 at 18:40 UTC.
The requested start date was Sunday, 22 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, 16-hour, 33-minute period from Sunday, 08 December 2019 at 04:59 UTC to Saturday, 21 December 2019 at 21:33 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 : 620
Unique Edges : 760
Edges With Duplicates : 341
Total Edges : 1101
Number of Edge Types : 4
MentionsInRetweet : 470
Mentions : 467
Replies to : 116
Tweet : 48
Self-Loops : 48
Reciprocated Vertex Pair Ratio : 0.0293398533007335
Reciprocated Edge Ratio : 0.0570071258907363
Connected Components : 19
Single-Vertex Connected Components : 15
Maximum Vertices in a Connected Component : 592
Maximum Edges in a Connected Component : 1067
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.960159
Graph Density : 0.00219396529261556
Modularity : 0.58681
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 620 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, 22 December 2019 at 18:40 UTC.
The requested start date was Sunday, 22 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, 16-hour, 33-minute period from Sunday, 08 December 2019 at 04:59 UTC to Saturday, 21 December 2019 at 21:33 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:
[89] heart,disease [44] philipshealth,sure [43] sure,secret [43] secret,life [43] life,exactly [43] exactly,variety [43] variety,day [43] day,people [43] people,imagine [43] imagine,go Top Word Pairs in Tweet in G1:
[88] heart,disease [42] framingham,heart [42] heart,study [42] study,first [42] first,link [42] link,smoking [42] smoking,blood [42] blood,pressure [42] pressure,heart [42] disease,third Top Word Pairs in Tweet in G3:
[2] philipshealth,gehealthcare [2] vailshirecap,venturebeat [2] angelmd_inc,nythealth [2] nythealth,menshealthmag [2] menshealthmag,womenshealthmag [2] womenshealthmag,houbizjournal [2] houbizjournal,tjarthur [2] tjarthur,lsuhealthfdn [2] lsuhealthfdn,gehealthcare Top Word Pairs in Tweet in G4:
[10] spark,image [7] atulgupta_md,time [7] time,radiation [7] radiation,free [7] free,3d [7] 3d,device [7] device,visualization [7] visualization,using [7] using,#forstechnology [7] #forstechnology,potential Top Word Pairs in Tweet in G5:
[6] gehealthcare,philipshealth [4] focus,classement [4] classement,2019 [4] 2019,fournisseurs [4] fournisseurs,médicaux [4] médicaux,l' [4] l',ugap [4] ugap,montant [4] montant,d'achat [4] d'achat,annuel Top Word Pairs in Tweet in G6:
[4] th,baptisthealthsf [4] baptisthealthsf,#mcvi [4] #mcvi,doctplive [4] doctplive,#dralexpowell [4] #dralexpowell,rajnarayanan67 [4] rajnarayanan67,#drbenenati [4] #drbenenati,#carolmelvin [4] #carolmelvin,philipshealth [3] imactis,navigation [3] navigation,system Top Word Pairs in Tweet in G7:
[2] philipshealth,philipsna [2] philipsna,philips [2] philips,#machinelearning [2] #machinelearning,#artificialintelligence [2] #artificialintelligence,#aws [2] #aws,#ml [2] #ml,#dataviz [2] #dataviz,#programming [2] stuartreigeluth,sdgoals [2] sdgoals,connectsdgs Top Word Pairs in Tweet in G8:
[5] vmwarehit,vmware [5] vmware,novartisuk [5] novartisuk,huawei [5] huawei,huaweimobile [4] huaweimobile,businessfinland [4] businessfinland,philipshealth [4] philipshealth,microsoft [4] samsungpulse,delltech [4] delltech,ibm_uk_news [4] ibm_uk_news,fujitsu_uk Top Word Pairs in Tweet in G10:
[8] gebruik,kunstmatige [8] kunstmatige,intelligentie [5] philipshealth,lumc_leiden [5] lumc_leiden,nell_2018 [5] nell_2018,werken [5] werken,samen [5] samen,gebruik [5] intelligentie,ziekenhuis [4] nell_2018,philipshealth [3] lumc,philips Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
Top Mentioned in G6:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: