The graph represents a network of 2,623 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 Thursday, 14 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, 10-hour, 50-minute period from Friday, 01 November 2019 at 13:52 UTC to Monday, 11 November 2019 at 00:43 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 : 2623
Unique Edges : 4237
Edges With Duplicates : 4354
Total Edges : 8591
Number of Edge Types : 3
Mentions : 7019
Tweet : 1446
Replies to : 126
Self-Loops : 1446
Reciprocated Vertex Pair Ratio : 0.0597876269621422
Reciprocated Edge Ratio : 0.112829448921804
Connected Components : 282
Single-Vertex Connected Components : 190
Maximum Vertices in a Connected Component : 2149
Maximum Edges in a Connected Component : 8059
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.477859
Graph Density : 0.000667538494332102
Modularity : 0.414166
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,623 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 Thursday, 14 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, 10-hour, 50-minute period from Friday, 01 November 2019 at 13:52 UTC to Monday, 11 November 2019 at 00:43 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 [287] #tech,#iot [273] #iot,#ai [270] #robot,quickly [270] quickly,replicate [270] replicate,face [270] face,#innovation [270] #innovation,#robotics [270] #robotics,#robots Top Word Pairs in Tweet in G1:
[107] ã,ã [66] #hr,#hrtech [37] #hrtech,#hr [37] check,out [32] ãƒ,ã [29] #hr,#humanresources [26] ãƒ,ム[23] #hrtech,#leadership [22] #humanresources,#hrtech [22] digital,transformation Top Word Pairs in Tweet in G2:
[217] #tech,#iot [216] #iot,#ai [212] #robot,quickly [212] quickly,replicate [212] replicate,face [212] face,#innovation [212] #innovation,#robotics [212] #robotics,#robots [212] #robots,#tech [211] #ai,#engineering Top Word Pairs in Tweet in G3:
[51] #hcm,#hrtech [48] ravenintell,ihrim [46] ihrim,hrtechconf [44] thx4rt,fr [43] fr,hrcurator [37] #hr,#hcm [34] #hrtech,#futureofhr [32] #futureofwork,#hrtech [31] #hr,#hrtech [29] hr,leaders Top Word Pairs in Tweet in G4:
[287] ã,ã [189] ð,ð [50] ãƒ,ム[29] ãƒ,ã [27] ã,æ [26] ã,ム[20] ã,œã [18] #hr,#hrtech [18] å,ã [17] ªã,ã Top Word Pairs in Tweet in G5:
[133] martinhoyes,exchangeseva [88] exchangeseva,prasunjmishra [88] prasunjmishra,oraclestartup [88] oraclestartup,sventrepreneur [88] sventrepreneur,founding [53] #sdgs,#socent [52] #socent,#womeninblockchain [45] modern,#timebanking [42] presidential,candidate [33] #andrewyang,presidential Top Word Pairs in Tweet in G6:
[15] #hr,#hrtech [10] #contingentworkforce,weekly [10] weekly,podcast [9] breaking,news [9] #hrtech,#talentacquisition [9] acquisition,smashfly [9] w,upwork [9] upwork,ceo [9] ceo,stephane [9] stephane,kasriel Top Word Pairs in Tweet in G7:
[101] #futureofwork,#hrtech [100] #ai,#automation [100] #automation,#robotics [100] #robotics,#iot [100] #iot,#4ir [100] #4ir,#futureofwork [99] top,10 [99] 10,countries [99] countries,#robots [99] #robots,being Top Word Pairs in Tweet in G8:
[14] à,à [10] latest,#news [10] #news,#hrtech [10] #hrtech,workday [10] workday,ceridian [10] ceridian,markfeffer [10] markfeffer,hcmtech [10] hcmtech,indeed [10] indeed,beameryhq [10] beameryhq,talroo_official Top Word Pairs in Tweet in G9:
[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 G10:
[48] #hrtech,#shrm [48] #shrm,#bigdata [30] ã,ã [26] iam,platform [26] platform,curated [26] curated,tweet [25] #shrm,#talentacquisition [25] #talentacquisition,#hrtech [21] #shrm,#hrtech [21] #hrtech,#bigdata Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G10: