The graph represents a network of 145 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, 22 August 2022 at 15:53 UTC.
The requested start date was Monday, 22 August 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 13-day, 18-hour, 2-minute period from Monday, 08 August 2022 at 05:27 UTC to Sunday, 21 August 2022 at 23:30 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 : 145
Unique Edges : 146
Edges With Duplicates : 1996
Total Edges : 2142
Number of Edge Types : 5
Mentions : 146
Tweet : 310
Replies to : 4
Retweet : 822
MentionsInRetweet : 860
Self-Loops : 506
Reciprocated Vertex Pair Ratio : 0.103960396039604
Reciprocated Edge Ratio : 0.188340807174888
Connected Components : 43
Single-Vertex Connected Components : 32
Maximum Vertices in a Connected Component : 88
Maximum Edges in a Connected Component : 2056
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.602066
Graph Density : 0.0106800766283525
Modularity : 0.091519
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 145 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, 22 August 2022 at 15:53 UTC.
The requested start date was Monday, 22 August 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 13-day, 18-hour, 2-minute period from Monday, 08 August 2022 at 05:27 UTC to Sunday, 21 August 2022 at 23:30 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:
[424] #corpgov,#finserv [398] #hranalytics,#corpgov [374] #wef,#hr [369] #csuite,#legaltech [347] #finserv,#wef [309] #legaltech,#csuite [254] #legaltech,#hranalytics [200] #finserv,#csr [191] #wef,#cx [167] #salesforce,#csr Top Word Pairs in Tweet in G1:
[26] #hcm,#hrm [23] #hr,#hcm [22] #hrm,#humanresources [19] thx4rt,fr [19] fr,hrcurator [9] #humanresources,#hranalytics [9] #hranalytics,#smarterhr [9] metrics,track [8] #wellbeing,metrics [7] aihr_academy,#hr Top Word Pairs in Tweet in G2:
[15] hr,analytics [7] analytics,courses [4] #peopleanalytics,#hranalytics [4] #hranalytics,#hrdata [4] #henryharvin,#hranalytics [4] analytics,course [3] answer,question [3] people,analytics [3] #hranalytics,#rh [3] data,driven Top Word Pairs in Tweet in G3:
[395] #corpgov,#finserv [374] #hranalytics,#corpgov [351] #wef,#hr [347] #csuite,#legaltech [326] #finserv,#wef [293] #legaltech,#csuite [237] #legaltech,#hranalytics [183] #finserv,#csr [177] #wef,#cx [167] #salesforce,#csr Top Word Pairs in Tweet in G4:
[29] #corpgov,#finserv [24] #hranalytics,#corpgov [23] #wef,#hr [22] #csuite,#legaltech [21] #finserv,#wef [18] excellencia_ltd,martinhoyes [17] #legaltech,#hranalytics [17] martinhoyes,#corpgov [17] #finserv,#csr [16] martinhoyes,#csuite Top Word Pairs in Tweet in G5:
[4] hr,analytics [2] analytics,recruiting [2] recruiting,schub [2] schub,geben [2] geben,hrnews_de [2] hrnews_de,ommaxdigital [2] ommaxdigital,#recruiting [2] unternehmen,schaffen [2] schaffen,daten [2] daten,mithilfe Top Word Pairs in Tweet in G6:
[3] everyone,easily [3] easily,comprehend [3] comprehend,rows [3] rows,upon [3] upon,rows [3] rows,numerical [3] numerical,data [3] data,luckily [3] luckily,ve [3] ve,partnered Top Word Pairs in Tweet in G7:
[5] people,data [2] obsessed,data [2] data,join [2] join,free [2] free,webinar [2] webinar,september [2] september,learn [2] learn,maintain [2] maintain,people [2] data,foundation Top Word Pairs in Tweet in G8:
[3] wait,share [3] share,multirater [3] multirater,surveys [3] surveys,feature [3] feature,secret [3] secret,behind [3] behind,natual [3] natual,#leadership [3] #leadership,stay [3] stay,tuned Top Word Pairs in Tweet in G10:
[2] don,overdo [2] overdo,limit [2] limit,dashboard [2] dashboard,12 [2] 12,metrics [2] metrics,look [2] look,forward [2] forward,include [2] include,#hranalytics [2] #hranalytics,predict Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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: