The graph represents a network of 4,252 Twitter users whose tweets in the requested range contained "#hr", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 October 2022 at 23:03 UTC.
The requested start date was Friday, 14 October 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 10-hour, 0-minute period from Tuesday, 11 October 2022 at 13:59 UTC to Friday, 14 October 2022 at 00:00 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 : 4252
Unique Edges : 3163
Edges With Duplicates : 8501
Total Edges : 11664
Number of Edge Types : 5
Mentions : 1464
Replies to : 269
MentionsInRetweet : 3197
Retweet : 2650
Tweet : 4084
Self-Loops : 4291
Reciprocated Vertex Pair Ratio : 0.0413421210305572
Reciprocated Edge Ratio : 0.0794016110471807
Connected Components : 1836
Single-Vertex Connected Components : 1319
Maximum Vertices in a Connected Component : 1320
Maximum Edges in a Connected Component : 6607
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.993313
Graph Density : 0.00019230713906506
Modularity : 0.352192
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 4,252 Twitter users whose tweets in the requested range contained "#hr", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 October 2022 at 23:03 UTC.
The requested start date was Friday, 14 October 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 10-hour, 0-minute period from Tuesday, 11 October 2022 at 13:59 UTC to Friday, 14 October 2022 at 00:00 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 : #hr
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:
[521] common,sense [438] #jobs,#hiring [421] #employment,#jobs [420] #hiring,#job [381] sense,finance [373] #job,#jobsearch [249] finanzas,sentido [249] sentido,común [241] común,common [224] #jobsearch,#recruitment Top Word Pairs in Tweet in G1:
[81] #hr,#humanresources [55] link,bio [54] human,resources [46] click,link [39] learn,more [32] #humanresources,#hr [32] #leadership,#hr [30] #hr,job [24] see,latest [24] employment,law Top Word Pairs in Tweet in G2:
[521] common,sense [381] sense,finance [249] sentido,común [249] finanzas,sentido [241] común,common [192] venezuela,ocaso [192] finance,venezuela [192] ocaso,máxima [192] máxima,presión [182] yosequehacer2_,finanzas Top Word Pairs in Tweet in G3:
[119] #marketing,#100daysofcode [119] #100daysofcode,#nodejs [119] #javascript,#marketing [117] #nodejs,#python [117] app,#javascript [109] #python,#jobs [109] data,recovery [109] recovery,app [104] #jobs,#digital [80] #digital,#flutter Top Word Pairs in Tweet in G4:
[69] mitchzenger,synctrics [68] #leadership,#hr [61] people,analytics [27] #hr,#leadership [26] love,share [26] share,article [26] need,people [25] many,people [22] analytics,data [20] transparent,people Top Word Pairs in Tweet in G5:
[185] #hiring,#job [185] #jobs,#hiring [183] #employment,#jobs [182] #job,#jobsearch [118] #hr,bartender [93] #jobsearch,#recruitment [70] earned,wage [70] wage,access [68] wellbeing,#hr [68] financial,wellbeing Top Word Pairs in Tweet in G6:
[243] #jobs,#hiring [237] #employment,#jobs [233] #hiring,#job [190] #job,#jobsearch [128] #jobsearch,#recruitment [93] #recruitment,#career [81] #career,#work [70] #jobseekers,#hr [69] #humanresources,#jobopening [69] #jobopening,#jobseeker Top Word Pairs in Tweet in G7:
[23] #wishrm22,#smileteam [19] #hr,#hrcommunity [14] #smileteam,#hr [11] social,media [10] dubai,hr_shapers [10] #drernestwayde,#wishrm22 [9] shapers,together [8] #quote,#hr [8] #hr,#humanresources [8] #humanresources,#culture Top Word Pairs in Tweet in G8:
[44] #hr,#hrtech [39] #hrtech,#hrnews [30] #hrnews,#humanresources [29] #humanresources,#hrtechnews [10] #leadership,#hr [10] #siliconslopes,domotalk [10] #hr,#cpo [10] #cpo,#siliconslopes [5] #hr,leaders [4] aligning,employers Top Word Pairs in Tweet in G9:
[13] gt,gt [5] company,#culture [5] people,risk [4] turn,invest [4] workforce,reimagining [4] #leadership,#management [4] increasing,resulting [4] #retirement,#hr [4] habits,emerge [4] leaders,redefine Top Word Pairs in Tweet in G10:
[9] trend,#hr [9] #quietquitting,latest [9] really,know [9] know,wef [9] #hr,really [9] wef,#management [9] latest,trend [9] #management,#futureofwork [8] #futureofwork,pawl [8] #management,#hr Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G8:
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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:
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Top Tweeters in G5:
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Top Tweeters in G10: