The graph represents a network of 154 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, 09 May 2022 at 15:30 UTC.
The requested start date was Monday, 09 May 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, 20-hour, 13-minute period from Monday, 25 April 2022 at 01:30 UTC to Sunday, 08 May 2022 at 21:43 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 : 154
Unique Edges : 123
Edges With Duplicates : 623
Total Edges : 746
Number of Edge Types : 5
Mentions : 161
Retweet : 150
MentionsInRetweet : 299
Replies to : 4
Tweet : 132
Self-Loops : 155
Reciprocated Vertex Pair Ratio : 0.151515151515152
Reciprocated Edge Ratio : 0.263157894736842
Connected Components : 40
Single-Vertex Connected Components : 23
Maximum Vertices in a Connected Component : 81
Maximum Edges in a Connected Component : 598
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.544408
Graph Density : 0.00967659791189203
Modularity : 0.245406
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 154 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, 09 May 2022 at 15:30 UTC.
The requested start date was Monday, 09 May 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, 20-hour, 13-minute period from Monday, 25 April 2022 at 01:30 UTC to Sunday, 08 May 2022 at 21:43 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:
[73] #shrm,#nonprofits [72] #corpgov,#socialgood [72] #socialgood,#shrm [72] #nonprofits,#nonprofit [55] #csr,#esg [55] #esg,#corpgov [44] hrcurator,martinhoyes [40] nodexl,hrcurator [37] fwdhumanity,#csr [32] #hcm,#hrm Top Word Pairs in Tweet in G1:
[32] #hcm,#hrm [25] #hr,#hcm [18] thx4rt,fr [18] fr,hrcurator [13] #hrm,#hranalytics [9] people,analytics [8] #hranalytics,#smarterhr [7] #hrm,#smarterhr [6] #hranalytics,#peopleanalytics [6] #peopleanalytics,#hranalytics Top Word Pairs in Tweet in G2:
[73] #shrm,#nonprofits [72] #corpgov,#socialgood [72] #socialgood,#shrm [72] #nonprofits,#nonprofit [55] #csr,#esg [55] #esg,#corpgov [42] hrcurator,martinhoyes [37] fwdhumanity,#csr [37] nodexl,hrcurator [27] #hranalytics,nodexl Top Word Pairs in Tweet in G3:
[14] latest,#hranalytics [14] #hranalytics,news [14] news,articles [10] hr,analytics [4] learn,more [3] #peopleanalytics,#hranalytics [3] hr,professionals [3] top,#hranalytics [3] #hranalytics,story [3] people,analytics Top Word Pairs in Tweet in G4:
[2] #hr,#datascience [2] #datascience,pyramid [2] find,more Top Word Pairs in Tweet in G5:
[6] digital,hrms [6] hrms,creating [6] creating,reports [6] reports,easy [6] easy,analysis [6] analysis,hr [6] hr,data [6] data,easier [6] easier,explore [5] digitalhrms,digital Top Word Pairs in Tweet in G6:
[3] #ai,used [3] used,streamline [3] streamline,speed [3] speed,make [3] make,more [3] more,efficient [3] aspects,job [3] job,search [3] search,hiring [3] hiring,process Top Word Pairs in Tweet in G7:
[3] instawork,pre [3] pre,eci [3] eci,release [3] release,briefing [3] briefing,available [3] available,indexed [3] indexed,business [3] business,cost [3] cost,trends [3] trends,14 Top Word Pairs in Tweet in G8:
[4] #mksss,#womensday [4] #womensday,#webinar [4] #webinar,#seminar [4] #seminar,#attendwebinar [4] #attendwebinar,#career [4] #career,#webinar [4] #webinar,#ait [4] #ait,#whyait [4] #whyait,#datascience [4] #datascience,#tableau Top Word Pairs in Tweet in G10:
[3] #hranalytics,podés [3] podés,analizar [3] analizar,información [3] información,salarial [3] salarial,diferenciada [3] diferenciada,género [3] género,empezamos [3] empezamos,relevamiento [2] pwc_uruguay,#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: