The graph represents a network of 2,713 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 Tuesday, 26 November 2019 at 04:53 UTC.
The requested start date was Monday, 25 November 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, 9-hour, 6-minute period from Thursday, 14 November 2019 at 15:41 UTC to Monday, 25 November 2019 at 00:48 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 : 2713
Unique Edges : 4438
Edges With Duplicates : 4913
Total Edges : 9351
Number of Edge Types : 3
Mentions : 7511
Tweet : 1701
Replies to : 139
Self-Loops : 1701
Reciprocated Vertex Pair Ratio : 0.0538962497192904
Reciprocated Edge Ratio : 0.102279991476667
Connected Components : 406
Single-Vertex Connected Components : 247
Maximum Vertices in a Connected Component : 1936
Maximum Edges in a Connected Component : 8225
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.219369
Graph Density : 0.000637839007423016
Modularity : 0.425458
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,713 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 Tuesday, 26 November 2019 at 04:53 UTC.
The requested start date was Monday, 25 November 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, 9-hour, 6-minute period from Thursday, 14 November 2019 at 15:41 UTC to Monday, 25 November 2019 at 00:48 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:
[267] martinhoyes,exchangeseva [208] #hr,#hrtech [167] exchangeseva,prasunjmishra [167] prasunjmishra,oraclestartup [167] oraclestartup,sventrepreneur [167] sventrepreneur,founding [153] #hrtech,#leadership [149] #hrtech,#hr [126] #futureofwork,#hrtech [122] inventor,#china Top Word Pairs in Tweet in G1:
[267] martinhoyes,exchangeseva [167] exchangeseva,prasunjmishra [167] prasunjmishra,oraclestartup [167] oraclestartup,sventrepreneur [167] sventrepreneur,founding [118] thx4rt,fr [117] fr,hrcurator [113] modern,#timebanking [103] presidential,candidate [81] featuring,exchangeseva Top Word Pairs in Tweet in G2:
[121] inventor,#china [121] #china,built [121] built,flying [121] flying,motorbike [121] motorbike,future [121] future,travel [121] travel,bbc [120] bbc,#reggieinchina [119] baski_la,inventor [78] robot,performs Top Word Pairs in Tweet in G3:
[31] #hr,#hrtech [18] #hrtech,#hiring [18] #hiring,#jobsearch [14] #hrtech,#fittech [14] #hrtech,#hr [11] hr,technology [10] hr,tech [9] future,work [9] needs,know [8] employee,experience Top Word Pairs in Tweet in G4:
[46] future,work [27] hr,leaders [26] digital,hr [24] people,analytics [20] leaders,newsletter [20] hrtech,future [19] #futureofwork,#hrtech [18] week's,edition [18] edition,digital [18] first,#hackinghrchat Top Word Pairs in Tweet in G5:
[19] digital,transformation [14] #hr,#humanresources [12] learn,more [12] #hrtech,#tech [11] #hrtech,#hr [11] #digitaltransformation,#digital [11] #digital,#hr [11] #digitaltransformation,#hrtech [9] #hr,#hrtech [8] ceo,garelaos Top Word Pairs in Tweet in G6:
[31] please,support [31] support,bankjob's [31] bankjob's,fundraising [31] fundraising,campaign [26] banksdaily,dear [19] campaign,days [19] days,until [19] until,fundraiser [19] fundraiser,ends [17] dear,friends Top Word Pairs in Tweet in G7:
[126] #hrtech,#leadership [115] #leadership,#shrm [19] #hrtech,#hr [15] hr,tech [12] today's,hr [12] tech,daily [12] daily,released [12] released,stories [12] #ukmfg,#uksmallbizrt [10] #hr,#hrtech Top Word Pairs in Tweet in G8:
[5] read,more [4] more,#hrtech [4] purchase,enterprise [4] enterprise,ats [4] managing,skills [3] hr,recruiting [3] #hr,#hrtech [3] #hrtech,#hr [3] help,understand [3] one,best Top Word Pairs in Tweet in G9:
[13] #skills,#hr [13] #hr,#futureofwork [12] #people,#skills [11] #futureofwork,#hrtech [10] #hrtech,#technology [10] #technology,#enterprise [10] #recruitment,#resourcing [6] #hrtech,#hr [6] #hr,#hrtech [5] good,luck Top Word Pairs in Tweet in G10:
[11] #hr,#hrtech [8] #hr,leaders [7] more,half [7] half,#hr [7] leaders,plan [7] plan,adopt [7] adopt,#ai [7] #ai,next [7] next,year [7] year,part Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: