The graph represents a network of 3,031 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, 21 September 2020 at 20:24 UTC.
The requested start date was Monday, 21 September 2020 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, 07 September 2020 at 00:01 UTC to Sunday, 20 September 2020 at 23:42 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 : 3031
Unique Edges : 3308
Edges With Duplicates : 9514
Total Edges : 12822
Number of Edge Types : 5
Mentions : 3181
Tweet : 2339
Retweet : 2625
MentionsInRetweet : 3929
Replies to : 748
Self-Loops : 2544
Reciprocated Vertex Pair Ratio : 0.10528653931586
Reciprocated Edge Ratio : 0.190514469453376
Connected Components : 493
Single-Vertex Connected Components : 293
Maximum Vertices in a Connected Component : 1902
Maximum Edges in a Connected Component : 10149
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.243156
Graph Density : 0.000541815976384837
Modularity : 0.333867
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 3,031 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, 21 September 2020 at 20:24 UTC.
The requested start date was Monday, 21 September 2020 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, 07 September 2020 at 00:01 UTC to Sunday, 20 September 2020 at 23:42 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:
[564] mitchzenger,synctrics [493] #hrtech,#hr [480] #it,#ites [480] #ites,#mfg [480] #mfg,#sme [473] #datalists,#it [472] #sme,#software [456] #software,#tech [421] #tech,#startups [407] #startups,#erp Top Word Pairs in Tweet in G1:
[287] #technology,#hrtech [285] #techrseries,#technology [285] #hrtech,#humanresource [42] #hrtechcubenews,#hrtech [42] #hrtech,#hrtechnews [37] #hrtechnews,#hrtechconf [36] #hrtechnology,#hrtechconference [35] #hrtechconf,#hrtechworld [33] #hrtechworld,#hrtechnology [33] #hrtechconference,#hrtechchat Top Word Pairs in Tweet in G2:
[83] #thinkbigsundaywithmarsha,#hrtech [63] quick,overview [63] overview,ethical [63] ethical,issues [63] issues,#artificialintelligence [62] #artificialintelligence,mt [62] mt,ceo_aisoma [62] ceo_aisoma,more [62] more,info [62] info,ai Top Word Pairs in Tweet in G3:
[479] #it,#ites [479] #ites,#mfg [479] #mfg,#sme [472] #datalists,#it [471] #sme,#software [455] #software,#tech [420] #tech,#startups [407] #startups,#erp [395] #hrtech,#hr [386] #erp,#iiot Top Word Pairs in Tweet in G4:
[107] #hrtech,#leadership [97] #leadership,#shrm [64] #hr,#hrtech [28] #hrtech,#hr [26] #hrtech,#hcm [15] learn,more [15] #hrtech,#humanresources [14] hr,tech [14] 柚人,製造全般 [14] 製造全般,hrtechと迷走中 Top Word Pairs in Tweet in G5:
[53] use,case [49] case,podcast [46] podcast,williamtincup [41] #hr,bartender [39] williamtincup,storytelling [31] #hr,strategies [31] strategies,impacted [31] impacted,pandemic [31] pandemic,oraclehcm's [31] oraclehcm's,emilyhe1 Top Word Pairs in Tweet in G6:
[33] nana_hrtech,ななさん [11] ninjin515,sakura39days [11] sakura39days,risa_kyokan [11] risa_kyokan,nana_hrtech [10] tori_chi908,naomicoach7 [10] ueda_hr,yanaco_chan [10] yanaco_chan,y_rebirthlab [10] mayakato0225,yoshihikowtnb [10] yoshihikowtnb,n_o_health_c [10] hamachi_0217,ninjin515 Top Word Pairs in Tweet in G7:
[564] mitchzenger,synctrics [227] people,analytics [157] together,teams [154] teams,mitchzenger [129] hr,tech [129] analytics,data [120] need,better [99] work,together [91] #goalvana,#hrtech [82] better,hr Top Word Pairs in Tweet in G8:
[75] read,more [56] #ai,#machinelearning [55] #machinelearning,#datascience [55] #datascience,#mobility [53] #mobility,#healthtech [53] #healthtech,#hrtech [53] #hrtech,#surveillance [52] more,#access [52] using,ai [52] ai,good Top Word Pairs in Tweet in G9:
[25] high,time [25] time,businesses [25] businesses,large [25] large,small [25] small,use [25] use,#hrtech [25] #hrtech,advantage [25] advantage,eliminate [24] connectwithhono,high [24] eliminate,emp Top Word Pairs in Tweet in G10:
[13] #hrtech,#hcm [11] hr,teams [11] teams,stay [11] stay,date [11] date,changing [11] changing,industry [11] industry,mark [11] mark,calendars [11] calendars,join [11] join,september 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: