The graph represents a network of 4,110 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, 16 September 2022 at 22:58 UTC.
The requested start date was Friday, 16 September 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, 8-hour, 5-minute period from Tuesday, 13 September 2022 at 15:55 UTC to Friday, 16 September 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 : 4110
Unique Edges : 2700
Edges With Duplicates : 8826
Total Edges : 11526
Number of Edge Types : 5
Retweet : 2779
MentionsInRetweet : 3213
Tweet : 4105
Mentions : 1248
Replies to : 181
Self-Loops : 4255
Reciprocated Vertex Pair Ratio : 0.0423027989821883
Reciprocated Edge Ratio : 0.0811718034787916
Connected Components : 1698
Single-Vertex Connected Components : 1221
Maximum Vertices in a Connected Component : 1186
Maximum Edges in a Connected Component : 6280
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.815861
Graph Density : 0.000194043222432036
Modularity : 0.337919
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 4,110 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, 16 September 2022 at 22:58 UTC.
The requested start date was Friday, 16 September 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, 8-hour, 5-minute period from Tuesday, 13 September 2022 at 15:55 UTC to Friday, 16 September 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:
[403] #employment,#jobs [403] #jobs,#hiring [391] #hiring,#job [352] #job,#jobsearch [249] gt,gt [193] #jobsearch,#recruitment [166] #leadership,#hr [133] learn,more [125] learn,#1 [125] #hr,bartender Top Word Pairs in Tweet in G1:
[56] link,bio [47] #hr,#humanresources [46] click,link [42] human,resources [38] learn,more [37] #leadership,#hr [25] #hr,job [24] see,latest [20] #job,#hr [19] job,opening Top Word Pairs in Tweet in G2:
[91] #legaltech,#finserv [87] #csr,#wef [86] #hranalytics,#legaltech [86] #csuite,#corpgov [86] #corpgov,#hranalytics [85] #finserv,#cx [85] #cx,#csr [45] learn,more [35] #hr,#legal [29] #hr,#hcm Top Word Pairs in Tweet in G3:
[403] #jobs,#hiring [402] #employment,#jobs [389] #hiring,#job [352] #job,#jobsearch [193] #jobsearch,#recruitment [122] #hr,bartender [106] #recruitment,#career [74] candidate,skills [72] employment,tests [72] tests,help Top Word Pairs in Tweet in G4:
[24] #leadership,#hr [12] #hr,#leadership [11] great,resignation [10] gt,gt [9] employee,engagement [9] join,conversation [9] conversation,september [9] september,22 [9] 22,3pm [9] 3pm,featuring Top Word Pairs in Tweet in G5:
[230] gt,gt [123] learn,#1 [120] #1,national [114] national,#bestseller [114] #bestseller,gt [100] lollydaskal,#leadfromwithin [96] gt,leadership [76] leadership,gap [66] lollydaskal,#leadership [57] #leadfromwithin,#leadership Top Word Pairs in Tweet in G6:
[103] wonder,international [103] international,responsible [103] responsible,bodies [103] bodies,#un [103] #un,#hr [103] #hr,undermined [103] undermined,#tigray [103] #tigray,genocide [103] genocide,much [101] dr_hagosabrha,wonder Top Word Pairs in Tweet in G7:
[47] pay,12 [47] 12,interest [47] interest,free [47] free,installments [34] domain,name [34] name,sale [34] sale,pay [31] innovative,hrtech [31] hrtech,great [31] great,departure Top Word Pairs in Tweet in G8:
[8] #hr,professionals [5] shrm,conference [5] #hr,#hrcommunity [4] volunteering,shrm [4] shrm,benefits [4] benefits,everyone [4] everyone,including [4] including,volunteer [4] volunteer,network [4] network,offers Top Word Pairs in Tweet in G9:
[24] #emplaw,#hr [23] #compliance,#iccompliance [18] #hr,#employees [14] #eor,#employerofrecord [13] engage,#independentcontractors [13] #independentcontractors,assess [13] assess,#risk [13] #risk,#misclassification [13] #misclassification,minutes [12] minutes,#iesriskcalculator Top Word Pairs in Tweet in G10:
[35] #hr,#hrtech [27] #hrtech,#hrnews [18] #hrnews,#humanresources [18] #humanresources,#hrtechnews [8] hr,technology [7] hr,tech [5] come,meet [5] meet,team [4] technology,highlights [4] highlights,hr 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 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: