The graph represents a network of 2,187 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, 23 May 2022 at 23:06 UTC.
The requested start date was Monday, 23 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, 6-minute period from Monday, 09 May 2022 at 00:04 UTC to Sunday, 22 May 2022 at 23:11 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 : 2187
Unique Edges : 1867
Edges With Duplicates : 6191
Total Edges : 8058
Number of Edge Types : 5
Tweet : 1886
Mentions : 2171
Retweet : 1641
MentionsInRetweet : 2156
Replies to : 204
Self-Loops : 2056
Reciprocated Vertex Pair Ratio : 0.0636675562333206
Reciprocated Edge Ratio : 0.119713261648746
Connected Components : 453
Single-Vertex Connected Components : 290
Maximum Vertices in a Connected Component : 1302
Maximum Edges in a Connected Component : 6261
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.255854
Graph Density : 0.000583586534587856
Modularity : 0.330033
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,187 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, 23 May 2022 at 23:06 UTC.
The requested start date was Monday, 23 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, 6-minute period from Monday, 09 May 2022 at 00:04 UTC to Sunday, 22 May 2022 at 23:11 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:
[433] #hr,#hrtech [408] mitchzenger,synctrics [394] #hrtech,#hrnews [381] #hrnews,#humanresources [367] #humanresources,#hrtechnews [226] hr,tech [178] people,analytics [137] #hrtech,#hr [117] #esg,#corpgov [117] #corpgov,#socialgood Top Word Pairs in Tweet in G1:
[55] #hr,#hrtech [29] #hrtech,#hr [23] hr,tech [18] #hrtech,#hrtechnology [18] learn,more [15] #hr,#technology [15] quick,easy [14] #recruiting,#hrtech [13] easy,way [13] way,submit Top Word Pairs in Tweet in G2:
[382] #hrtech,#hrnews [375] #hrnews,#humanresources [363] #humanresources,#hrtechnews [142] #hr,#hrtech [20] hr,tech [12] #hrtech,#hr [10] #hcm,#hrtech [10] hr,technology [9] #wfm,#hcm [9] technology,highlights Top Word Pairs in Tweet in G3:
[51] #hr,#hrtech [29] hr,technology [28] #hrtechconf,2022 [27] #hrtech,#worktech [25] hr,tech [23] #worktech,#vc [23] #vc,#hr [23] #hr,#recruiting [23] #recruiting,#futureofwork [22] #esg,#corpgov Top Word Pairs in Tweet in G4:
[92] #esg,#corpgov [92] #corpgov,#socialgood [92] #nonprofits,#nonprofit [75] #socialgood,#nonprofits [61] #hrtech,#shrm [60] #csr,#esg [60] #shrm,#bigdata [52] #designthinking,#culture [51] #culture,#leadership [51] #leadership,#bigdata Top Word Pairs in Tweet in G5:
[51] #hr,#hrtech [18] #hrtech,#humanresources [18] #hr,#humanresources [16] #shrmtech22,#hr [16] shrm,india [15] meet,#hrtech [15] gt,gt [13] shrmindia,shrm [13] human,resources [12] shrmindia,achalkhanna1 Top Word Pairs in Tweet in G6:
[408] mitchzenger,synctrics [169] people,analytics [114] analytics,data [98] hr,tech [91] together,teams [90] teams,mitchzenger [77] need,better [76] need,people [74] #hrtech,#goalvana [61] #hrtech,#peopleanalytics Top Word Pairs in Tweet in G7:
[16] #worktrends,podcast [13] congrats,2022 [13] 2022,#hrtechawards [13] #hrtechawards,winner [13] #hrtech,#awards [12] winners,#hrtech [12] employee,experience [12] leaders,focus [11] see,2022 [10] 2020,#learning Top Word Pairs in Tweet in G8:
[10] raises,3m [8] #hr,#hrtech [8] one,biggest [8] biggest,pre [8] pre,seed [5] #hrtech,#employeeexperience [5] wellbees_co,next [5] next,gen [5] gen,employee [5] employee,#wellbeing Top Word Pairs in Tweet in G9:
[11] #edtech,#hrtech [10] giving,away [10] away,online [10] online,resource [10] resource,help [10] help,raise [10] raise,awareness [10] awareness,steps [10] steps,take [8] millions,d'euros Top Word Pairs in Tweet in G10:
[10] #scrum,#agile [9] #hrtech,emplu [9] emplu,halben [9] halben,million [9] million,pre [9] pre,seed [9] seed,invest [9] invest,congratz [9] congratz,gründerin [9] gründerin,anika Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: