The graph represents a network of 190 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, 12 September 2022 at 15:38 UTC.
The requested start date was Monday, 12 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 13-day, 23-hour, 26-minute period from Monday, 29 August 2022 at 00:26 UTC to Sunday, 11 September 2022 at 23:52 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 : 190
Unique Edges : 183
Edges With Duplicates : 1973
Total Edges : 2156
Number of Edge Types : 5
MentionsInRetweet : 777
Retweet : 792
Tweet : 319
Mentions : 265
Replies to : 3
Self-Loops : 529
Reciprocated Vertex Pair Ratio : 0.0705882352941176
Reciprocated Edge Ratio : 0.131868131868132
Connected Components : 56
Single-Vertex Connected Components : 37
Maximum Vertices in a Connected Component : 89
Maximum Edges in a Connected Component : 1934
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.586147
Graph Density : 0.00760233918128655
Modularity : 0.115219
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 190 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, 12 September 2022 at 15:38 UTC.
The requested start date was Monday, 12 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 13-day, 23-hour, 26-minute period from Monday, 29 August 2022 at 00:26 UTC to Sunday, 11 September 2022 at 23:52 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:
[305] #finserv,#wef [303] #hranalytics,#corpgov [290] #corpgov,#finserv [269] #wef,#hr [236] #hranalytics,#legaltech [229] #legaltech,#hranalytics [228] #csuite,#legaltech [221] #legaltech,#finserv [181] #csr,#wef [177] #corpgov,#hranalytics Top Word Pairs in Tweet in G1:
[7] hr,analytics [4] #hranalytics,#peopleanalytics [4] #hr,#hranalytics [3] #turnover,#attrition [3] gustaría,tener [3] tener,todas [3] todas,herramientas [3] herramientas,necesarias [3] necesarias,tus [3] tus,procesos Top Word Pairs in Tweet in G2:
[28] #hcm,#hrm [25] #hr,#hcm [22] #peopleanalytics,#hranalytics [22] #hrm,#humanresources [16] september,14th [16] ll,interviewing [14] latest,#hranalytics [14] #hranalytics,news [14] news,articles [13] people,analytics Top Word Pairs in Tweet in G3:
[305] #finserv,#wef [303] #hranalytics,#corpgov [290] #corpgov,#finserv [269] #wef,#hr [236] #hranalytics,#legaltech [229] #legaltech,#hranalytics [227] #csuite,#legaltech [221] #legaltech,#finserv [181] #csr,#wef [175] #corpgov,#hranalytics Top Word Pairs in Tweet in G4:
[51] mitchzenger,synctrics [46] bad,behavior [28] #hranalytics,#community [23] allow,such [23] such,bad [23] behavior,teams [23] teams,need [23] need,confront [23] confront,bad [23] behavior,make Top Word Pairs in Tweet in G5:
[2] #salesforce,nodexl [2] nodexl,salesforce [2] salesforce,salesforcejapan [2] salesforcejapan,astroinfo_jp [2] astroinfo_jp,trailhead [2] trailhead,gauravp_singh [2] legaltech,nodexl [2] nodexl,clevy_law [2] clevy_law,legaltech_news [2] legaltech_news,thornburgh_e Top Word Pairs in Tweet in G7:
[6] more,#ai [6] #technology,#bigdata [5] pitalent,end [5] end,end [5] end,survey [5] survey,management [5] management,more [5] #ai,#technology [4] pisquare_io,pitalent [4] #bigdata,#businessintelligence Top Word Pairs in Tweet in G8:
[2] hr,rich [2] rich,history [2] history,innovation [2] innovation,today [2] today,another [2] another,pivotal [2] pivotal,point [2] point,thrive [2] thrive,hr [2] hr,needs Top Word Pairs in Tweet in G10:
[4] chat,ibrahim [4] ibrahim,using [4] using,link [4] link,bio [2] bio,register [2] register,send [2] send,email [2] email,forget [2] forget,retweet [2] retweet,someone Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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: