The graph represents a network of 2,562 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, 28 December 2020 at 21:36 UTC.
The requested start date was Monday, 28 December 2020 at 01:01 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, 15-minute period from Monday, 14 December 2020 at 01:45 UTC to Monday, 28 December 2020 at 01:00 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 : 2562
Unique Edges : 3014
Edges With Duplicates : 9536
Total Edges : 12550
Number of Edge Types : 5
Tweet : 1672
MentionsInRetweet : 4648
Retweet : 2916
Mentions : 3096
Replies to : 218
Self-Loops : 1892
Reciprocated Vertex Pair Ratio : 0.0537682789651294
Reciprocated Edge Ratio : 0.102049530315969
Connected Components : 336
Single-Vertex Connected Components : 226
Maximum Vertices in a Connected Component : 2033
Maximum Edges in a Connected Component : 11686
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.637085
Graph Density : 0.000713884877985735
Modularity : 0.311484
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,562 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, 28 December 2020 at 21:36 UTC.
The requested start date was Monday, 28 December 2020 at 01:01 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, 15-minute period from Monday, 14 December 2020 at 01:45 UTC to Monday, 28 December 2020 at 01:00 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:
[554] mitchzenger,synctrics [378] #hr,#hrtech [307] #techrseries,#technology [304] #technology,#hrtech [298] #hrtech,#humanresource [263] people,analytics [248] hr,tech [160] together,teams [160] #hrtech,#hr [156] teams,mitchzenger Top Word Pairs in Tweet in G1:
[554] mitchzenger,synctrics [229] people,analytics [223] #hr,#hrtech [190] hr,tech [160] together,teams [156] teams,mitchzenger [125] need,better [120] analytics,data [98] work,together [90] #goalvana,#hrtech Top Word Pairs in Tweet in G2:
[112] #hrtech,#leadership [103] #leadership,#shrm [95] #ar,#hrtech [85] #hrtech,#rpa [82] bringing,historian [82] historian,figures [82] figures,back [82] back,life [82] life,#ai [82] #ai,zackcodesai Top Word Pairs in Tweet in G3:
[302] #techrseries,#technology [298] #technology,#hrtech [294] #hrtech,#humanresource [52] #hr,#hrtech [50] #hrtech,#hrtechnology [22] covid,19 [15] shares,thoughts [13] artificial,intelligence [11] brandon,hall [10] thoughts,#hr Top Word Pairs in Tweet in G4:
[50] #digitaltransformation,#flutter [42] #hcm,#hrm [41] #analytics,#ai [39] #flutter,#datascience [38] michaelbathurst,#hrtech [35] #hrtech,#machinelearning [35] #machinelearning,#artificialintelligence [34] keep,shining [33] shining,light [33] #digitalmarketing,#datascience Top Word Pairs in Tweet in G5:
[38] hrtech,cube [38] founder,ceo [38] ceo,xactly [38] chris,cabrera [37] employee,engagement [37] read,full [36] cabrera,founder [36] xactly,talks [36] talks,significance [36] significance,digitization Top Word Pairs in Tweet in G6:
[33] #hr,#futureofwork [30] arrived,12 [30] 12,predictions [28] 'future,work' [28] work',arrived [28] predictions,hr [28] hr,2021 [28] 2021,#hr [27] david_green_uk,'future [27] #futureofwork,#peopleanaly Top Word Pairs in Tweet in G7:
[23] read,more [21] #hrtech,#hr [21] free,virtual [21] virtual,event [20] #sap,#successfactors [20] #hrtechconf,spring [19] 2021,#hrtech [16] march,16 [16] 16,19 [15] learn,more Top Word Pairs in Tweet in G8:
[13] #hr,#hrtech [12] #ai,#hrtech [11] #ai,#automation [7] #automation,#hrtech [6] #hrtech,#hr [6] #gryticsforwork,#peopleanalytics [5] #,fmarinmayer [5] performance,management [5] #hrtech,#talentacquisition [5] #peopleanalytics,#hrtech Top Word Pairs in Tweet in G9:
[9] people,analytics [8] #collaboration,competition [8] hrtechalliances,congratulate [8] congratulate,onemodelhr [8] onemodelhr,chrisbutler_81 [8] chrisbutler_81,bagging [8] bagging,1st [8] 1st,place [6] #hr,#hranalytics [5] collaboration,zone Top Word Pairs in Tweet in G10:
[9] betheripple2020,matt_4_good [9] matt_4_good,hulersocial [9] hulersocial,hrsocialhour [7] hrsocialhour,_hrtech [7] _hrtech,wmsh_podcast [7] wmsh_podcast,kindfestusa [7] kindfestusa,beccasmith2393 [6] beccasmith2393,teamkindnessuk [6] teamkindnessuk,mcquadetx [6] mcquadetx,juliekentmbe 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: