The graph represents a network of 772 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, 10 November 2019 at 15:34 UTC.
The requested start date was Sunday, 10 November 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, 22-hour, 9-minute period from Sunday, 27 October 2019 at 01:49 UTC to Saturday, 09 November 2019 at 23:58 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 : 772
Unique Edges : 1059
Edges With Duplicates : 457
Total Edges : 1516
Number of Edge Types : 3
Mentions : 1381
Replies to : 77
Tweet : 58
Self-Loops : 58
Reciprocated Vertex Pair Ratio : 0.0418118466898955
Reciprocated Edge Ratio : 0.0802675585284281
Connected Components : 14
Single-Vertex Connected Components : 11
Maximum Vertices in a Connected Component : 754
Maximum Edges in a Connected Component : 1499
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.144925
Graph Density : 0.0020093680906971
Modularity : 0.607779
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 772 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, 10 November 2019 at 15:34 UTC.
The requested start date was Sunday, 10 November 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, 22-hour, 9-minute period from Sunday, 27 October 2019 at 01:49 UTC to Saturday, 09 November 2019 at 23:58 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:
[42] kayla,bartlett [42] bartlett,professional [42] professional,ballerina [42] ballerina,shares [42] shares,ultrasound [42] ultrasound,diagnosed [42] diagnosed,guided [42] guided,treatment [42] treatment,help [42] help,dance Top Word Pairs in Tweet in G1:
[42] kayla,bartlett [42] bartlett,professional [42] professional,ballerina [42] ballerina,shares [42] shares,ultrasound [42] ultrasound,diagnosed [42] diagnosed,guided [42] guided,treatment [42] treatment,help [42] help,dance Top Word Pairs in Tweet in G2:
[14] hololens,2 [14] ø,ø [13] ù,ø [13] ø,ù [10] hey,thanks [10] thanks,microsoft [10] microsoft,ceo [10] ceo,satyanadella [10] satyanadella,shout [10] shout,out Top Word Pairs in Tweet in G3:
[2] philipshealth,siemenshealth [2] ap,apple Top Word Pairs in Tweet in G4:
[27] jeroen,tas [25] tas,jeroentas [18] jeroentas,chief [18] chief,innovation [18] innovation,strategy [14] â,œthe [14] œthe,days [14] days,traditional [14] traditional,hospital [14] hospital,know Top Word Pairs in Tweet in G5:
[4] #clifighters,t [4] t,wait [4] wait,#ampcli2020 [4] #ampcli2020,ampsymposium [4] ampsymposium,withdrawal [4] withdrawal,need [4] need,cme [4] cme,checkout [4] checkout,fadisaab17 [4] fadisaab17,georgeadamsmd Top Word Pairs in Tweet in G6:
[6] itâ,s [6] s,official [6] official,streampae [6] streampae,meets [6] meets,isvirindia [6] isvirindia,#march2020 [6] #march2020,goaindia [6] goaindia,registration [6] registration,info [6] info,coming Top Word Pairs in Tweet in G7:
[2] healthythinker,garyshapiro [2] garyshapiro,martinomalley [2] martinomalley,chryseplanatia [2] chryseplanatia,duffeychris [2] duffeychris,jkosseff [2] jkosseff,terrybarclay [2] terrybarclay,dhsummit [2] dhsummit,lidtevents Top Word Pairs in Tweet in G8:
[16] 10th,uac [9] 12,cpd [9] cpd,crdits [9] crdits,awarded [9] awarded,10th [9] uac,rcp [9] rcp,good [9] good,faculty [9] faculty,best [9] best,hands Top Word Pairs in Tweet in G9:
[8] excitement,building [8] building,up [8] up,wait [8] wait,over [8] over,see [8] see,soon [8] soon,vmworld [8] vmworld,#vmworld [8] #vmworld,sallyeaves [8] sallyeaves,treasadovander Top Word Pairs in Tweet in G10:
[3] data,imaging' [3] imaging',fast [3] fast,approaching [3] approaching,22 [3] 22,nov'19 [3] nov'19,london [3] london,unmissable [3] unmissable,line [3] line,up [3] up,speakers 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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Top Tweeters in G10: