The graph represents a network of 1,906 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, 09 May 2022 at 22:52 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, 23-hour, 40-minute period from Monday, 25 April 2022 at 00:19 UTC to Monday, 09 May 2022 at 00:00 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 : 1906
Unique Edges : 1578
Edges With Duplicates : 4253
Total Edges : 5831
Number of Edge Types : 5
Mentions : 1030
Retweet : 1304
MentionsInRetweet : 1689
Tweet : 1621
Replies to : 187
Self-Loops : 1737
Reciprocated Vertex Pair Ratio : 0.0675225867807893
Reciprocated Edge Ratio : 0.126503340757238
Connected Components : 395
Single-Vertex Connected Components : 241
Maximum Vertices in a Connected Component : 1153
Maximum Edges in a Connected Component : 4344
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.486353
Graph Density : 0.000618298893121046
Modularity : 0.371475
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,906 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, 09 May 2022 at 22:52 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, 23-hour, 40-minute period from Monday, 25 April 2022 at 00:19 UTC to Monday, 09 May 2022 at 00:00 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:
[589] #hr,#hrtech [381] #hrtech,#hrnews [367] #hrnews,#humanresources [356] #humanresources,#hrtechnews [99] hr,tech [90] #corpgov,#socialgood [90] #socialgood,#shrm [90] #shrm,#nonprofits [90] #nonprofits,#nonprofit [89] #hrtech,#hr Top Word Pairs in Tweet in G1:
[38] #hr,#hrtech [27] #hrtech,#hr [27] data,list [25] #datalists,#it [22] #it,#ites [22] #ites,#mfg [20] anand_rkrishnan,data [19] #mfg,#sme [17] quick,easy [16] software,companies Top Word Pairs in Tweet in G2:
[382] #hr,#hrtech [379] #hrtech,#hrnews [366] #hrnews,#humanresources [355] #humanresources,#hrtechnews [17] 2022,#hr [17] officer,#hr [15] hr,tech [12] chief,people [12] people,officer [9] hr,technology Top Word Pairs in Tweet in G3:
[84] #corpgov,#socialgood [84] #socialgood,#shrm [84] #shrm,#nonprofits [84] #nonprofits,#nonprofit [54] #csr,#esg [54] #esg,#corpgov [41] fwdhumanity,#csr [36] supports,#timebanking [36] #timebanking,#communities [36] #communities,#nonprofits Top Word Pairs in Tweet in G4:
[24] hr,tech [22] code,tw22f [21] #hrtechinfluencers,list [17] #hrtechconf,2022 [17] top,100 [15] 2022,top [14] september,13 [14] 13,16 [14] save,extra [14] extra,300 Top Word Pairs in Tweet in G5:
[12] iambriangraham,cc [12] mmnagers,use [12] use,#ai [12] #ai,find [12] find,right [12] right,people [12] people,inseadknowledge [12] inseadknowledge,#hrtech [12] #hrtech,#emergingtech [11] #thinkbigsundaywithmarsha,#hrtech Top Word Pairs in Tweet in G6:
[17] congrats,2022 [16] learn,more [16] #worktrends,podcast [15] 2022,#hrtechawards [15] #hrtechawards,winner [14] #hrtech,#awards [12] #digitalchalk,#lms [10] see,2022 [10] employee,experience [10] #sciolytix,#celms Top Word Pairs in Tweet in G7:
[62] #hrtech,#shrm [62] #shrm,#bigdata [47] #hr,bartender [37] hr,service [37] service,delivery [37] employee,experience [35] experience,hr [34] #recruiting,#hrtech [29] delivery,helps [27] helps,#hr Top Word Pairs in Tweet in G8:
[88] digital,hrms [32] performance,management [26] #hrtech,#technology [25] #ai,#artificialintelligence [22] #talent,#sourcing [22] #hiringtech,#hrtech [21] #artificialintelligence,#talent [21] #sourcing,#hiringtech [18] #hrtech,#nowwedisrupt [18] hr,management Top Word Pairs in Tweet in G9:
[36] #employeeengagement,#employeeexperience [30] #hr,#hrtech [29] #employeeexperience,#employees [29] #employees,#hr [27] #hrtech,#tech [27] #tech,#employeeappreciation [27] #employeeappreciation,#talentengagement [17] #quotes,#quoteoftheday [16] #quoteoftheday,#employeeengagement [9] uniify_in,#employeeengagement Top Word Pairs in Tweet in G10:
[16] #hr,#humanresources [10] #humanresources,#hrtech [7] article,redefining [7] redefining,role [7] role,hr [7] hr,mining [7] mining,industry [7] industry,way [7] way,forward [7] forward,aashishmishrahr Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: