The graph represents a network of 2,646 Twitter users whose tweets in the requested range contained "HRtech ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 11 November 2019 at 04:29 UTC.
The requested start date was Monday, 11 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 9-day, 6-hour, 23-minute period from Thursday, 31 October 2019 at 22:20 UTC to Sunday, 10 November 2019 at 04:43 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 : 2646
Unique Edges : 4228
Edges With Duplicates : 4379
Total Edges : 8607
Number of Edge Types : 3
Mentions : 7042
Replies to : 132
Tweet : 1433
Self-Loops : 1433
Reciprocated Vertex Pair Ratio : 0.0616375344986201
Reciprocated Edge Ratio : 0.116117850953206
Connected Components : 280
Single-Vertex Connected Components : 186
Maximum Vertices in a Connected Component : 2173
Maximum Edges in a Connected Component : 8065
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.462831
Graph Density : 0.000659553886667038
Modularity : 0.417296
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,646 Twitter users whose tweets in the requested range contained "HRtech ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 11 November 2019 at 04:29 UTC.
The requested start date was Monday, 11 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 9-day, 6-hour, 23-minute period from Thursday, 31 October 2019 at 22:20 UTC to Sunday, 10 November 2019 at 04:43 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 : HRtech
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:
[817] ã,ã [335] ð,ð [263] #tech,#iot [258] #iot,#ai [256] #hrtech,#fintech [255] #robot,quickly [255] quickly,replicate [255] replicate,face [255] face,#innovation [255] #innovation,#robotics Top Word Pairs in Tweet in G1:
[224] #tech,#iot [224] #iot,#ai [220] #robot,quickly [220] quickly,replicate [220] replicate,face [220] face,#innovation [220] #innovation,#robotics [220] #robotics,#robots [220] #robots,#tech [219] #ai,#engineering Top Word Pairs in Tweet in G2:
[107] ã,ã [96] #hrtech,#leadership [83] #leadership,#shrm [57] #hr,#hrtech [40] #hrtech,#hr [36] check,out [32] ãƒ,ã [29] #hr,#humanresources [26] ãƒ,ム[23] #humanresources,#hrtech Top Word Pairs in Tweet in G3:
[54] #hcm,#hrtech [52] ravenintell,ihrim [50] ihrim,hrtechconf [49] thx4rt,fr [48] fr,hrcurator [40] #hr,#hcm [35] #hrtech,#futureofhr [32] #hr,#hrtech [32] #futureofwork,#hrtech [29] forbes,#hcm Top Word Pairs in Tweet in G4:
[14] #hr,#hrtech [10] #hrtech,#employeeengagement [10] #contingentworkforce,weekly [10] weekly,podcast [9] breaking,news [9] #hrtech,#talentacquisition [9] acquisition,smashfly [9] w,upwork [9] upwork,ceo [9] ceo,stephane Top Word Pairs in Tweet in G5:
[287] ã,ã [189] ð,ð [50] ãƒ,ム[29] ãƒ,ã [27] ã,æ [26] ã,ム[20] ã,œã [19] #hr,#hrtech [18] å,ã [17] ªã,ã Top Word Pairs in Tweet in G6:
[121] martinhoyes,exchangeseva [82] exchangeseva,prasunjmishra [82] prasunjmishra,oraclestartup [82] oraclestartup,sventrepreneur [82] sventrepreneur,founding [50] #sdgs,#socent [49] #socent,#womeninblockchain [40] modern,#timebanking [37] presidential,candidate [35] #hr,#hrtech Top Word Pairs in Tweet in G7:
[14] à,à [13] #futureofwork,summit [12] leaders,#futureofwork [11] latest,#news [11] #news,#hrtech [11] #hrtech,workday [11] workday,ceridian [11] ceridian,markfeffer [11] markfeffer,hcmtech [11] hcmtech,indeed Top Word Pairs in Tweet in G8:
[18] annual,conference [16] cipd,annual [12] looking,forward [11] great,data [11] data,leap [11] leap,#ai [11] #ai,transform [11] transform,recruitment [11] recruitment,#hr [11] #hr,ft Top Word Pairs in Tweet in G9:
[45] #hrtech,#shrm [45] #shrm,#bigdata [30] ã,ã [27] iam,platform [27] platform,curated [27] curated,tweet [25] #shrm,#talentacquisition [25] #talentacquisition,#hrtech [23] #shrm,#hrtech [23] #hrtech,#bigdata Top Word Pairs in Tweet in G10:
[8] check,out [7] looking,great [7] great,hr [7] hr,organizations [7] organizations,check [7] #hrtech,#hrorgs [5] read,more [5] more,#hrtech [4] one,best [3] one,top Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G10: