The graph represents a network of 3,356 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 2/16/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 17 February 2023 at 23:52 UTC.
The tweets in the network were tweeted over the 1602-day, 18-hour, 31-minute period from Friday, 28 September 2018 at 06:28 UTC to Friday, 17 February 2023 at 01:00 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 : 3356
Unique Edges : 2309
Edges With Duplicates : 5155
Total Edges : 7464
Number of Edge Types : 8
Tweet : 2937
MentionsInRetweet : 1544
Mentions : 1426
Retweet : 1227
MentionsInReplyTo : 69
Replies to : 163
Quote : 79
MentionsInQuote : 19
Self-Loops : 3455
Reciprocated Vertex Pair Ratio : 0.0430913348946136
Reciprocated Edge Ratio : 0.082622361921868
Connected Components : 1554
Single-Vertex Connected Components : 1110
Maximum Vertices in a Connected Component : 751
Maximum Edges in a Connected Component : 2903
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.138495
Graph Density : 0.000197790642113509
Modularity : 0.380065
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,356 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 2/16/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 17 February 2023 at 23:52 UTC.
The tweets in the network were tweeted over the 1602-day, 18-hour, 31-minute period from Friday, 28 September 2018 at 06:28 UTC to Friday, 17 February 2023 at 01:00 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:
[248] #hiring,#recruitment [246] #jobs,#careers [238] #jobsearch,#hiring [233] #career,#work [231] #job,#jobs [230] #jobs,#job [230] #recruitment,#career [229] #job,#jobsearch [228] #employment,#careers [228] #careers,#nowhiring Top Word Pairs in Tweet in G1:
[83] #hr,#humanresources [60] #hr,#payroll [52] great,resignation [51] during,great [51] long,term [50] barnard,bahn [50] consultant,amii [50] executive,consultant [50] time,high [50] retention,bonuses Top Word Pairs in Tweet in G2:
[238] #jobsearch,#hiring [233] #hiring,#recruitment [227] #employment,#careers [227] #recruitment,#career [226] #job,#jobsearch [226] #jobs,#job [226] #career,#work [224] #resume,#jobopening [224] #work,#employment [222] #nowhiring,#jobseekers Top Word Pairs in Tweet in G3:
[96] #management,#hr [87] #hr,#success [79] lollydaskal,#leadfromwithin [78] #leadfromwithin,#leadership [76] #leadership,#management [66] #success,#manager [66] #manager,#coaching [54] #leadership,#hr [24] gt,gt [22] #leadership,#quote Top Word Pairs in Tweet in G4:
[11] #leadership,#hr [9] ways,#hr [8] #hr,leaders [6] morale,public [6] employee,morale [6] upcoming,#mercerchats [6] #mercerchats,tweet [6] join,upcoming [6] employee,#data [6] systems,incomplete Top Word Pairs in Tweet in G5:
[50] #hr,#humanresources [15] #hcm,#hrm [14] #hrm,#humanresources [10] #hr,#hcm [7] covid,19 [6] successful,one [6] #virtualinterviews,become [6] due,covid [6] prepared,successful [6] normal,everyone Top Word Pairs in Tweet in G6:
[78] mitchzenger,synctrics [34] people,analytics [27] together,teams [25] teams,mitchzenger [18] analytics,data [17] work,together [15] need,better [14] creating,trusting [12] many,people [12] need,create Top Word Pairs in Tweet in G7:
[46] n700,000 [46] remotely,earn [46] ios,developer [46] appcake,requires [46] 000,monthly [46] breaking,appcake [46] monthly,details [46] requires,ios [46] details,click [46] developer,work Top Word Pairs in Tweet in G8:
[14] #hr,#emplaw [7] #emplaw,#hr [6] 2023,#emplaw [6] ebnbenefitnews,#hr [5] latest,hr [5] #emplaw,peoplemgt [4] #hr,msainat1 [4] 22,2023 [4] #mentalhealth,ebnbenefitnews [4] #webinar,#osha Top Word Pairs in Tweet in G9:
[4] webinar,#hr [4] forbes,article [4] #hr,#recruiting [4] #hr,#ad [3] working,#caring [3] #leadership,#hr [3] #working,working [3] someone,living [3] more,people [3] gt,lt Top Word Pairs in Tweet in G10:
[7] personal,branding [6] more,meaningful [5] #exeter,#eastdevon [5] #eastdevon,#sme [4] burglar,kate1palmer [4] acknowledge,time [4] influencer,emerging [4] bringing,few [4] trend,leveraged [4] branding,trend Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
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: