The graph represents a network of 726 Twitter users whose tweets in the requested range contained "peopleanalytics", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 05 November 2019 at 20:34 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, 36-minute period from Sunday, 20 October 2019 at 00:12 UTC to Saturday, 02 November 2019 at 23:48 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 : 726
Unique Edges : 1193
Edges With Duplicates : 1830
Total Edges : 3023
Number of Edge Types : 3
Mentions : 2530
Tweet : 453
Replies to : 40
Self-Loops : 453
Reciprocated Vertex Pair Ratio : 0.0616
Reciprocated Edge Ratio : 0.116051243406179
Connected Components : 101
Single-Vertex Connected Components : 64
Maximum Vertices in a Connected Component : 542
Maximum Edges in a Connected Component : 2780
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.146125
Graph Density : 0.0025211361261518
Modularity : 0.303957
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 726 Twitter users whose tweets in the requested range contained "peopleanalytics", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 05 November 2019 at 20:34 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, 36-minute period from Sunday, 20 October 2019 at 00:12 UTC to Saturday, 02 November 2019 at 23:48 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 : peopleanalytics
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:
[139] redthreadre,staciagarr [139] staciagarr,aladamsen [139] aladamsen,david_green_uk [133] staciagarr,redthreadre [133] david_green_uk,#pafow [129] people,analytics [123] #pafow,staciagarr [123] redthreadre,findings [121] martinhoyes,redthreadre [117] #hr,#peopleanalytics Top Word Pairs in Tweet in G1:
[57] #hr,#peopleanalytics [48] #recruiting,#hr [46] dangers,hiring [46] hiring,cultural [46] cultural,fit [46] fit,#culture [46] #culture,#recruiting [45] david_green_uk,dangers [35] hr,leaders [29] #hr,#futureofwork Top Word Pairs in Tweet in G2:
[46] thx4rt,fr [46] gt,gt [43] fr,hrcurator [27] #hr,#hcm [23] #peopleanalytics,#hranalytics [21] employee,engagement [20] hrcurator,use [19] predictive,analytics [19] people,analytics [19] #hr,#business Top Word Pairs in Tweet in G3:
[136] redthreadre,staciagarr [136] staciagarr,aladamsen [136] aladamsen,david_green_uk [130] david_green_uk,#pafow [127] staciagarr,redthreadre [120] #pafow,staciagarr [120] redthreadre,findings [118] martinhoyes,redthreadre [72] findings,#peopleanalytics [25] #oow19,#oow Top Word Pairs in Tweet in G4:
[11] people,analytics [9] free,#webcast [8] #hr,#peopleanalytics [6] register,now [6] oct,30th [6] power,#peopleanalytics [5] #hranalytics,#peopleanalytics [4] data,driven [4] #hrtech,#peopleanalytics [4] découvrez,bleexo Top Word Pairs in Tweet in G5:
[15] hr,role [15] role,changing [15] changing,6 [15] 6,areas [15] areas,hr [15] hr,build [15] build,knowledge [15] knowledge,1 [15] 1,#peopleanalytics [15] #peopleanalytics,2 Top Word Pairs in Tweet in G6:
[9] #hr,#business [9] #business,#peopleanalytics [9] #peopleanalytics,#bigdata [7] #bigdata,#hrm [7] #hr,#peopleanalytics [4] predictive,analytics [4] social,media [4] media,recruitment [4] recruitment,use [4] use,#3 Top Word Pairs in Tweet in G7:
[15] oct,30th [15] splashbi,address [15] address,successful [15] successful,#hr [15] #hr,departments [15] departments,leverage [15] leverage,massive [15] massive,amounts [15] amounts,#peopledata [15] #peopledata,fulfill Top Word Pairs in Tweet in G8:
[23] #hr,#humanresources [21] #peopleanalytics,#hranalytics [14] #iopsych,#hr [13] iosyislam,talent_metrics [12] #hranalytics,#peopleanalytics [11] #iopsych,#smarterworkplace [10] #datadriven,#analytics [9] #humanresources,#hrscience [8] talent,metrics [8] #iopsych,#hranalytics Top Word Pairs in Tweet in G9:
[10] tips,trick [10] trick,#ai [10] #ai,people [10] people,analytics [10] analytics,paste [10] paste,job [10] job,description [10] description,end [10] end,cv [10] cv,machine Top Word Pairs in Tweet in G10:
[13] sap,successfactors [8] people,analytics [6] successfactors,people [5] very,different [5] different,analysis [5] analysis,past [5] past,couple [5] couple,years [5] years,innovation [5] innovation,sap Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: