The graph represents a network of 3,231 Twitter users whose recent tweets contained "#hr", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/16/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 17 March 2023 at 22:51 UTC.
The tweets in the network were tweeted over the 1576-day, 8-hour, 3-minute period from Wednesday, 21 November 2018 at 15:57 UTC to Friday, 17 March 2023 at 00:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3231
Unique Edges : 2415
Edges With Duplicates : 5292
Total Edges : 7707
Number of Edge Types : 9
Retweet : 1222
MentionsInRetweet : 1688
Tweet : 2814
Mentions : 1518
MentionsInQuote : 18
MentionsInReplyTo : 220
Quote : 48
Replies to : 177
MentionsInQuoteReply : 2
Self-Loops : 3323
Reciprocated Vertex Pair Ratio : 0.0368972746331237
Reciprocated Edge Ratio : 0.071168621107966
Connected Components : 1408
Single-Vertex Connected Components : 1016
Maximum Vertices in a Connected Component : 795
Maximum Edges in a Connected Component : 3036
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 6.030505
Graph Density : 0.000236965235197338
Modularity : 0.389277
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,231 Twitter users whose recent tweets contained "#hr", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/16/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 17 March 2023 at 22:51 UTC.
The tweets in the network were tweeted over the 1576-day, 8-hour, 3-minute period from Wednesday, 21 November 2018 at 15:57 UTC to Friday, 17 March 2023 at 00:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[369] #recruitment,#career [364] #job,#jobsearch [364] #employment,#careers [364] #careers,#nowhiring [364] #career,#work [362] #jobs,#job [362] #resume,#jobopening [362] #nowhiring,#jobseekers [361] #work,#employment [360] #jobsearch,#hiring Top Word Pairs in Tweet in G1:
[364] #employment,#careers [363] #recruitment,#career [362] #job,#jobsearch [362] #resume,#jobopening [362] #nowhiring,#jobseekers [362] #careers,#nowhiring [360] #work,#employment [360] #jobs,#job [360] #career,#work [359] #jobhunt,#resume Top Word Pairs in Tweet in G2:
[30] #sxsw2023,#sxsw [28] #sxsw,#salesforce [27] #hr,#humanresources [17] #corpgov,#ceo [17] #ceo,#cfo [15] #data,#datascience [14] #hr,bartender [14] #datascience,#ai [14] #corpgov,#csuite [13] #data4good,#salesforce Top Word Pairs in Tweet in G3:
[302] inspiring,workplaces [302] finalist,2023 [299] named,finalist [299] officially,named [299] workplaces,awards [271] #employeeexperience,#culture [271] #culture,#wellbeing [271] #wellbeing,#hr [270] #employeeengagement,#employeeexperience [269] awards,#employeeengagement Top Word Pairs in Tweet in G4:
[16] #hcm,#hrm [16] shrm,#shrm [15] #empathy,#hr [15] much,deeper [15] empathy,much [15] being,nice [15] sympathy,being [15] #shrm,#empathy [15] nice,empathy [15] deeper,shrm Top Word Pairs in Tweet in G5:
[93] ethnic,cleansing [91] dear,secblinken [91] tigray,cnnpolitics [91] amhara,leave [91] blinken,ethnic [91] secblinken,forces [91] cnnpolitics,dear [91] cleansing,western [91] western,tigray [91] forces,amhara Top Word Pairs in Tweet in G6:
[149] gt,gt [133] #management,#hr [91] #hr,#success [84] lollydaskal,#leadership [82] #leadership,#quote [76] learn,#1 [74] #1,national [74] #bestseller,gt [74] national,#bestseller [73] #quote,#management Top Word Pairs in Tweet in G7:
[42] #leadership,#hr [21] please,retweet [20] #jobs,#careers [19] #hr,#recruitment [18] #hr,#leadership [16] #hr,bartender [15] love,share [15] 2023,apply [15] share,article [13] more,info Top Word Pairs in Tweet in G8:
[31] خواتین,اور [31] ڈی,کے [31] انسانی,حقوق [31] اور,انسانی [31] کارکنوں,کو [31] کا,سی [31] کے,کارکنوں [31] بار,جسمانی [31] میں,#ماہل [31] گھڑت,کیس Top Word Pairs in Tweet in G9:
[33] #hr,#luegenpresse [33] #br,#hr [33] #cdu,#fdp [33] #fdp,#dielinke [33] #dielinke,#gruene [33] #wdr,#br [33] #spd,#cdu [33] #zdf,#wdr [33] #gruene,#csu [32] direkt,gesicht Top Word Pairs in Tweet in G10:
[35] #hr,#digital [35] #b20,#g20india [35] #itprofessionals,#b20 [35] #digitaltransformation,#commerce [35] #communications,#science [35] #commerce,#communications [35] #science,#hr [35] #g20india,#argentina [35] #digital,#itprofessionals [31] #china,#germany Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: