The graph represents a network of 2,738 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, 02 December 2019 at 05:09 UTC.
The requested start date was Monday, 02 December 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 11-day, 20-hour, 47-minute period from Tuesday, 19 November 2019 at 16:41 UTC to Sunday, 01 December 2019 at 13:28 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 : 2738
Unique Edges : 4198
Edges With Duplicates : 4884
Total Edges : 9082
Number of Edge Types : 3
Tweet : 1824
Mentions : 7118
Replies to : 140
Self-Loops : 1824
Reciprocated Vertex Pair Ratio : 0.0604236880115551
Reciprocated Edge Ratio : 0.113961407491487
Connected Components : 473
Single-Vertex Connected Components : 278
Maximum Vertices in a Connected Component : 1803
Maximum Edges in a Connected Component : 7610
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.277663
Graph Density : 0.000587810949323357
Modularity : 0.418021
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,738 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, 02 December 2019 at 05:09 UTC.
The requested start date was Monday, 02 December 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 11-day, 20-hour, 47-minute period from Tuesday, 19 November 2019 at 16:41 UTC to Sunday, 01 December 2019 at 13:28 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[279] #hr,#hrtech [234] martinhoyes,exchangeseva [190] exchangeseva,prasunjmishra [190] prasunjmishra,oraclestartup [190] oraclestartup,sventrepreneur [190] sventrepreneur,founding [174] #hrtech,#leadership [135] thx4rt,fr [132] fr,hrcurator [130] #hrtech,#hr Top Word Pairs in Tweet in G1:
[134] thx4rt,fr [131] fr,hrcurator [64] #employeeengagement,#employeeexperience [63] #futureofwork,#employeeengagement [62] #hr,#hcm [56] #hrtech,#leadership [55] #hcm,#hrtech [55] #employeeexperience,#employeematters [55] #employeematters,#hr [53] #hr,#hrtrends Top Word Pairs in Tweet in G2:
[229] martinhoyes,exchangeseva [185] exchangeseva,prasunjmishra [185] prasunjmishra,oraclestartup [185] oraclestartup,sventrepreneur [185] sventrepreneur,founding [98] modern,#timebanking [82] presidential,candidate [73] team,winning [72] ravenintell,ihrim [70] #socent,#womeninblockchain Top Word Pairs in Tweet in G3:
[40] #hr,#hrtech [20] #hrtech,#hiring [18] #hrtech,#hr [18] #hrtech,#fittech [18] #hiring,#jobsearch [13] #fitlinktips,today's [13] today's,tip [11] hr,tech [11] quick,easy [11] easy,way Top Word Pairs in Tweet in G4:
[127] inventor,#china [127] #china,built [127] built,flying [127] flying,motorbike [127] motorbike,future [127] future,travel [127] travel,bbc [126] bbc,#reggieinchina [119] baski_la,inventor [27] #microsoft,#hololens2 Top Word Pairs in Tweet in G5:
[12] #hrtech,#employeeengagement [6] #hrtech,#collaboration [6] top,10 [5] #hrtech,#candidateexperience [5] #hrtech,#hr [5] learn,more [4] strategies,improve [4] improve,collaboration [4] collaboration,between [4] between,legal Top Word Pairs in Tweet in G6:
[15] #hr,#hrtech [11] hr,leaders [7] #bridgeconeurope,stage [6] more,#hrtech [6] #hrtech,#hr [6] mind,skills [6] skills,gap [6] gap,80 [6] 80,hr [6] leaders,asked Top Word Pairs in Tweet in G7:
[114] #hrtech,#leadership [105] #leadership,#shrm [28] #hr,#hrtech [23] #hrtech,#hr [21] hr,tech [14] today's,hr [14] tech,daily [14] daily,released [14] released,stories [12] #ukmfg,#uksmallbizrt Top Word Pairs in Tweet in G8:
[8] latest,williamtincup [8] williamtincup,spent [8] spent,2019 [8] 2019,#hrtechconf [8] #hrtechconf,asking [8] asking,industry [8] industry,insiders [8] insiders,influencers [8] influencers,#recruiting [7] five,years Top Word Pairs in Tweet in G9:
[8] #hr,#hrtech [8] hr,tech [5] #blockchainworkforce,#hrtech [4] kelphr,posh [4] posh,employee [4] employee,awareness [4] awareness,sessions [4] sessions,audio [4] audio,video [4] video,logistics Top Word Pairs in Tweet in G10:
[14] recognizing,efforts [12] excited,launch [12] launch,#newcodeofwork [12] #newcodeofwork,#awards [12] #awards,2020 [12] 2020,initiative [12] initiative,close [12] close,vision [12] vision,recognizing [11] peoplestrong,excited Top Replied-To in Entire Graph:
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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 G10: