The graph represents a network of 159 Twitter users whose tweets in the requested range contained "#HRAnalytics", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 31 January 2022 at 15:55 UTC.
The requested start date was Monday, 31 January 2022 at 01:01 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 13-day, 19-hour, 17-minute period from Monday, 17 January 2022 at 04:13 UTC to Sunday, 30 January 2022 at 23:31 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 : 159
Unique Edges : 142
Edges With Duplicates : 1653
Total Edges : 1795
Number of Edge Types : 5
MentionsInRetweet : 1004
Mentions : 95
Retweet : 569
Tweet : 124
Replies to : 3
Self-Loops : 180
Reciprocated Vertex Pair Ratio : 0.0694444444444444
Reciprocated Edge Ratio : 0.12987012987013
Connected Components : 36
Single-Vertex Connected Components : 22
Maximum Vertices in a Connected Component : 94
Maximum Edges in a Connected Component : 1701
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.652795
Graph Density : 0.00919512777645092
Modularity : 0.110808
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 159 Twitter users whose tweets in the requested range contained "#HRAnalytics", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 31 January 2022 at 15:55 UTC.
The requested start date was Monday, 31 January 2022 at 01:01 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 13-day, 19-hour, 17-minute period from Monday, 17 January 2022 at 04:13 UTC to Sunday, 30 January 2022 at 23:31 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 : #HRAnalytics
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:
[454] martinhoyes,#hrtech [212] #csr,#shrm [163] #hrtech,podcast [145] #hr,#csr [136] #hrtech,#corpgov [136] #corpgov,#hr [136] #shrm,#startup [131] kseals,discuss [119] staceyharrishr,kseals [115] podcast,staceyharrishr Top Word Pairs in Tweet in G1:
[18] #hr,#hcm [16] #hcm,#hrm [9] thx4rt,fr [9] fr,hrcurator [8] #hranalytics,#smarterhr [6] 20,#hranalytics [6] #hranalytics,books [6] books,2021 [6] 2021,releases [6] releases,more Top Word Pairs in Tweet in G2:
[49] martinhoyes,#hrtech [48] #hrtech,podcast [37] kseals,discuss [32] podcast,staceyharrishr [32] staceyharrishr,kseals [32] #hr,tech [26] discuss,#venturecapital [26] #venturecapital,flooding [26] flooding,#hr [21] tech,#startup Top Word Pairs in Tweet in G3:
[405] martinhoyes,#hrtech [212] #csr,#shrm [145] #hr,#csr [136] #hrtech,#corpgov [136] #corpgov,#hr [136] #shrm,#startup [115] #hrtech,podcast [94] kseals,discuss [87] excellencia_ltd,martinhoyes [87] staceyharrishr,kseals Top Word Pairs in Tweet in G4:
[9] know,depth [9] depth,guidance [9] guidance,join [9] join,whatsapp [9] whatsapp,group [9] group,connect [9] connect,6362121253 [9] 6362121253,#hranalytics [9] #hranalytics,#hrcareers [9] #hrcareers,#talentacquisitionjobs Top Word Pairs in Tweet in G5:
[2] big,tickets [2] tickets,people [2] people,analytics [2] analytics,according [2] according,patrickcoolen [2] patrickcoolen,conversation [2] conversation,hr [2] hr,analytics [2] analytics,ireland Top Word Pairs in Tweet in G6:
[6] legitimacy,#hranalytics [6] #hranalytics,function [6] function,established [6] established,organisations [6] organisations,research [6] research,belizón [6] belizón,kieran [6] kieran,explore [5] hrmjournal,legitimacy Top Word Pairs in Tweet in G8:
[4] moment,someone [4] someone,#hr [4] #hr,offer [4] offer,termination [4] termination,letters [4] letters,sfatkins21 [4] sfatkins21,#memeoftheday [4] #memeoftheday,#mondaymeme [3] splashbi,moment [3] #mondaymeme,#peo Top Word Pairs in Tweet in G9:
[4] here's,blog [4] blog,brings [4] brings,key [4] key,facts [4] facts,hr [4] hr,analytics [4] analytics,explore [4] explore,#hrtech [4] #hrtech,#humanresources [3] digitalhrms,here's Top Word Pairs in Tweet in G10:
[3] #hranalytics,#bigdata [2] reports,vs [2] vs,key [2] key,performance [2] performance,indicators [2] indicators,kpi [2] kpi,vs [2] vs,analytics [2] analytics,hr [2] hr,#hranalytics Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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: