The graph represents a network of 2,683 Twitter users whose tweets in the requested range contained "HRtech ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 16 December 2019 at 05:12 UTC.
The requested start date was Monday, 16 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 10-day, 20-hour, 1-minute period from Tuesday, 03 December 2019 at 15:24 UTC to Saturday, 14 December 2019 at 11:26 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 : 2683
Unique Edges : 4336
Edges With Duplicates : 4054
Total Edges : 8390
Number of Edge Types : 3
Mentions : 6341
Tweet : 1956
Replies to : 93
Self-Loops : 1956
Reciprocated Vertex Pair Ratio : 0.0577981651376147
Reciprocated Edge Ratio : 0.10928013876843
Connected Components : 447
Single-Vertex Connected Components : 280
Maximum Vertices in a Connected Component : 1788
Maximum Edges in a Connected Component : 6907
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.677525
Graph Density : 0.000640928896637847
Modularity : 0.475121
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 2,683 Twitter users whose tweets in the requested range contained "HRtech ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 16 December 2019 at 05:12 UTC.
The requested start date was Monday, 16 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 10-day, 20-hour, 1-minute period from Tuesday, 03 December 2019 at 15:24 UTC to Saturday, 14 December 2019 at 11:26 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 : HRtech
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:
[423] #hr,#hrtech [201] #hrtech,#hr [175] 2020,#hr [152] #hrtech,#leadership [146] more,important [141] #google,ceo [141] ceo,#ai [141] #ai,more [141] important,fire [141] fire,electricity Top Word Pairs in Tweet in G1:
[103] exchangeseva,prasunjmishra [103] prasunjmishra,oraclestartup [103] oraclestartup,sventrepreneur [103] sventrepreneur,founding [101] martinhoyes,exchangeseva [75] #hcm,#hrtech [64] #hr,#futureofwork [62] thx4rt,fr [62] fr,hrcurator [55] #hr,#hcm Top Word Pairs in Tweet in G2:
[135] #google,ceo [135] ceo,#ai [135] #ai,more [135] more,important [135] important,fire [135] fire,electricity [135] electricity,humans [135] humans,wef [135] wef,alvinfoo [135] alvinfoo,mvollmer1 Top Word Pairs in Tweet in G3:
[52] #hr,#hrtech [25] hr,tech [23] learn,more [19] #hiring,#recruiting [16] #hrtech,#hiring [16] #recruiting,#hrtech [15] hrconfes,david_green_uk [14] ask,censia [14] censia,learn [14] more,#talentintelligence Top Word Pairs in Tweet in G4:
[65] #hr,#hrtech [25] #hrtech,#humanresources [21] #digitaltransformation,#hr [16] #digital,#technology [15] digital,transformation [14] #humanresources,#tech [14] #digitaltransformation,#digital [14] 2020,predictions [14] #recruitment,#resourcing [13] #hrtech,#employeeexperience Top Word Pairs in Tweet in G5:
[113] awesome,article [113] article,recapping [113] recapping,great [113] great,year [113] year,adp [113] adp,highlighting [113] highlighting,trends [113] trends,predictions [113] predictions,2020 [113] 2020,#hr Top Word Pairs in Tweet in G6:
[42] #hr,#hrtrends [42] #hrtrends,#hrtech [42] #hrtech,#leadership [42] #leadership,#employeeretention [41] #employeeengagement,#employeeexperience [39] #futureofwork,#employeeengagement [39] #employeeexperience,#employeematters [29] #employeeretention,#diversityandinclusion [21] #diversityandinclusion,#futureofwork [18] #employeematters,#hr Top Word Pairs in Tweet in G7:
[25] #hr,#hrtech [18] #hrtech,#hr [14] hr,tech [13] today's,hr [13] tech,daily [13] daily,released [13] released,stories [11] join,live [9] live,webinar [9] webinar,replay Top Word Pairs in Tweet in G8:
[14] lead,analyst [14] analyst,johnleh [12] extended,enterprise [11] challenges,face [11] face,terms [11] terms,#hiring [11] #hiring,span [11] span,finding [11] finding,right [11] right,talent Top Word Pairs in Tweet in G9:
[111] #datalists,#it [102] #it,#ites [102] #ites,#mfg [102] #mfg,#sme [87] #sme,#software [86] data,lists [79] #software,#tech [74] #fintech,#hrtech [72] #hrtech,#hr [71] #startups,#erp Top Word Pairs in Tweet in G10:
[32] learning,management [29] management,system [17] #lms,#elearning [17] #elearning,#hrtech [11] system,statistics [11] statistics,demonstrate [11] demonstrate,important [11] important,lms [11] lms,corporation [11] corporation,more Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G7:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: