The graph represents a network of 6,765 Twitter users whose recent tweets contained "#talentacquisition", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 20,000 tweets. The network was obtained from Twitter on Thursday, 01 September 2022 at 23:10 UTC.
The tweets in the network were tweeted over the 1689-day, 10-hour, 16-minute period from Tuesday, 16 January 2018 at 12:28 UTC to Thursday, 01 September 2022 at 22:44 UTC.
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 : 6765
Unique Edges : 4729
Edges With Duplicates : 25619
Total Edges : 30348
Number of Edge Types : 8
Quote : 288
MentionsInQuote : 235
Retweet : 6284
MentionsInRetweet : 7796
Replies to : 540
MentionsInReplyTo : 259
Tweet : 10755
Mentions : 4191
Self-Loops : 12283
Reciprocated Vertex Pair Ratio : 0.049550260375572
Reciprocated Edge Ratio : 0.0944218914448955
Connected Components : 2305
Single-Vertex Connected Components : 1667
Maximum Vertices in a Connected Component : 3041
Maximum Edges in a Connected Component : 22708
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.990633
Graph Density : 0.000145350171312584
Modularity : 0.231908
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,765 Twitter users whose recent tweets contained "#talentacquisition", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 20,000 tweets. The network was obtained from Twitter on Thursday, 01 September 2022 at 23:10 UTC.
The tweets in the network were tweeted over the 1689-day, 10-hour, 16-minute period from Tuesday, 16 January 2018 at 12:28 UTC to Thursday, 01 September 2022 at 22:44 UTC.
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 : TwitterSearch
Graph Term : #talentacquisition
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
Vertex X : Column1
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1623] talent,acquisition [758] learn,more [756] #recruitment,#talentacquisition [742] #talentacquisition,#recruitment [717] #recruiting,#talentacquisition [597] #hiring,#talentacquisition [540] #hr,#talentacquisition [476] #hr,#humanresources [465] #talentacquisition,#recruiting [407] #talentacquisition,#hr Top Word Pairs in Tweet in G1:
[522] talent,acquisition [233] #hr,#talentacquisition [145] #hrjobs,#hr [129] #recruitment,#talentacquisition [98] #talentacquisition,#recruitment [88] learn,more [81] acquisition,specialist [79] #talentacquisition,#recruiting [72] #recruiting,#talentacquisition [68] #talent,#talentacquisition Top Word Pairs in Tweet in G2:
[216] #recruitment,#talentacquisition [211] #recruiting,#talentacquisition [198] #hiring,#recruitment [183] #talentacquisition,#recruitingagency [177] #bkg,#talentacquisition [173] #recruitmentconsultant,#bkg [170] #recruitingagency,#insurancejobs [163] #insurancejobs,#staffingagency [162] talent,acquisition [159] #staffingagency,#employmentagency Top Word Pairs in Tweet in G3:
[251] #protips,#talentacquisition [247] #hrtechnology,#qualityofhire [244] #qualityofhire,#protips [199] #hr,#humanresources [180] #humanresources,#hrtechnology [135] talent,acquisition [105] #hiring,#talentacquisition [85] #teksands,#talentacquisition [82] #talentacquisition,#hiring [80] #recruiting,#talentacquisition Top Word Pairs in Tweet in G4:
[165] #hiring,#talentacquisition [144] talent,acquisition [140] #talentacquisition,#recruitment [103] #failsafehiring,powering [103] powering,#talentacquisition [103] #recruitment,sneak [103] sneak,peak [103] peak,book [103] book,praise [92] #recruiting,#talentacquisition Top Word Pairs in Tweet in G5:
[178] #talentacquisition,#recruitment [164] #hr,#humanresources [117] talent,acquisition [114] #recruitment,#hr [95] #talent,#acquisition [90] #talentacquisition,#talent [85] #talent,#talentacquisition [74] #recruiting,#hr [72] #recruitmentagency,#hiring [71] #hr,#recruitmentagency Top Word Pairs in Tweet in G6:
[262] passle,timothy_hughes [185] #talentacquisition,#futureofwork [177] #socialselling,#digitalselling [167] timothy_hughes,dlaignite [166] sammysupero1,#talentacquisition [158] dlaignite,#socialselling [125] #futureofwork,#worklifebalance [84] #salestips,#salesleader [83] sammy,hewitt [76] business,passle Top Word Pairs in Tweet in G7:
[44] latest,fergie [44] fergie,daily [33] daily,thanks [31] #recruitment,#talentacquisition [26] recruitment,strategy [24] candidate,driven [24] driven,market [24] market,job [24] job,postings [24] postings,need Top Word Pairs in Tweet in G8:
[102] yenagoa,kid [102] kid,built [102] built,excavator [102] excavator,steel [102] steel,controls [102] controls,water [102] water,check [102] check,next [102] next,slide [102] slide,videos Top Word Pairs in Tweet in G9:
[45] #talentacquisition,#talentanalytics [33] #hrsocialhour,half [33] half,hour [33] #talentanalytics,#imocha [32] hour,podcast [31] #lifeintheleadershiplane,#leadership [27] pre,employment [27] employment,testing [26] benefits,pre [24] #hrcommunity,#talentacquisition Top Word Pairs in Tweet in G10:
[10] #recruitment,#talentacquisition [9] #talentacquisition,#talentmanagement [9] talent,acquisition [7] people,matters [7] #talentretention,#talentacquisition [7] top,talent [7] 00,pm [7] panel,discussion [6] #talentacquisition,#recruitment [6] apac,recruitment Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10: