The graph represents a network of 266 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, 26 September 2021 at 16:24 UTC.
The requested start date was Sunday, 26 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 14-hour, 35-minute period from Sunday, 12 September 2021 at 04:10 UTC to Saturday, 25 September 2021 at 18:45 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 : 266
Unique Edges : 285
Edges With Duplicates : 319
Total Edges : 604
Number of Edge Types : 5
Tweet : 33
Replies to : 78
Mentions : 253
Retweet : 87
MentionsInRetweet : 153
Self-Loops : 37
Reciprocated Vertex Pair Ratio : 0.0807799442896936
Reciprocated Edge Ratio : 0.149484536082474
Connected Components : 19
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 247
Maximum Edges in a Connected Component : 583
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.945699
Graph Density : 0.00550432685487303
Modularity : 0.483403
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 266 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, 26 September 2021 at 16:24 UTC.
The requested start date was Sunday, 26 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 14-hour, 35-minute period from Sunday, 12 September 2021 at 04:10 UTC to Saturday, 25 September 2021 at 18:45 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:
[21] #ivus,fundamentals [21] fundamentals,practical [21] practical,applications [21] applications,session [13] live,webinar [13] vascupedia_com,today [13] today,#ivus [12] health,systems [11] more,resilient [10] find,philips Top Word Pairs in Tweet in G1:
[11] more,resilient [11] health,systems [10] find,philips [8] eu,member [8] member,states [8] states,make [8] make,health [8] systems,more [8] resilient,philipshealth [8] philipshealth,corporate Top Word Pairs in Tweet in G2:
[21] #ivus,fundamentals [21] fundamentals,practical [21] practical,applications [21] applications,session [13] live,webinar [13] today,#ivus [13] vascupedia_com,today [10] session,introduction [10] introduction,ivus [10] ivus,image Top Word Pairs in Tweet in G3:
[4] market,growth [4] growth,trends [4] trends,forecast [4] forecast,2021 [4] 2021,2026 [4] 2026,types [4] types,application [4] application,regions [4] regions,key [4] key,players Top Word Pairs in Tweet in G5:
[2] look,getting [2] getting,promoted [2] promoted,tweets [2] tweets,maybe [2] maybe,hallucinating [2] hallucinating,military [2] military,picture [2] picture,promotion [2] german,radiology Top Word Pairs in Tweet in G6:
[5] first,user [5] user,experiences [5] experiences,philips [5] philips,azurion [5] azurion,smartct [5] smartct,laurent [5] laurent,spelle [5] spelle,jacques [5] jacques,moret [5] moret,gregory Top Word Pairs in Tweet in G7:
[2] help,crowdfunder [2] crowdfunder,promoting [2] promoting,role [2] role,diagnostic [2] diagnostic,radiographers [2] radiographers,syb_ics_ahps [2] syb_ics_ahps,jenniereeves Top Word Pairs in Tweet in G8:
[3] #penta,eureka_network [3] eureka_network,cluster [3] cluster,operated [3] operated,aeneas [3] aeneas,project [3] project,partners [3] partners,istecnico [3] istecnico,bitbrain_en [3] bitbrain_en,cochlear_europe [2] aeneas_eu,#penta Top Word Pairs in Tweet in G9:
[2] tough,test [2] test,first [2] first,case [2] case,cagentvascular [2] cagentvascular,balloon [2] balloon,obl [2] obl,heavily [2] heavily,calcified [2] calcified,dp [2] dp,necrotic Top Word Pairs in Tweet in G10:
[4] preparation,linnconline [4] linnconline,paris [4] paris,going [4] going,well [4] well,stmichaelsfdn [4] stmichaelsfdn,unityhealthto [4] unityhealthto,looking [4] looking,forward [4] forward,live [4] live,#brainaneurysm 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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