The graph represents a network of 2,738 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, 03 December 2019 at 05:09 UTC.
The requested start date was Monday, 02 December 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 12-day, 5-hour, 42-minute period from Tuesday, 19 November 2019 at 19:10 UTC to Monday, 02 December 2019 at 00:52 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 : 2738
Unique Edges : 4204
Edges With Duplicates : 4798
Total Edges : 9002
Number of Edge Types : 3
Mentions : 7020
Tweet : 1845
Replies to : 137
Self-Loops : 1845
Reciprocated Vertex Pair Ratio : 0.0601250601250601
Reciprocated Edge Ratio : 0.113430127041742
Connected Components : 470
Single-Vertex Connected Components : 277
Maximum Vertices in a Connected Component : 1805
Maximum Edges in a Connected Component : 7544
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.317522
Graph Density : 0.000588211274600989
Modularity : 0.425944
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,738 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, 03 December 2019 at 05:09 UTC.
The requested start date was Monday, 02 December 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 12-day, 5-hour, 42-minute period from Tuesday, 19 November 2019 at 19:10 UTC to Monday, 02 December 2019 at 00:52 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:
[276] #hr,#hrtech [242] martinhoyes,exchangeseva [198] exchangeseva,prasunjmishra [198] prasunjmishra,oraclestartup [198] oraclestartup,sventrepreneur [198] sventrepreneur,founding [176] #hrtech,#leadership [140] #futureofwork,#hrtech [136] thx4rt,fr [133] fr,hrcurator Top Word Pairs in Tweet in G1:
[135] thx4rt,fr [132] fr,hrcurator [62] #hr,#hcm [55] #hcm,#hrtech [51] #hr,#humanresources [44] #humanresources,#hrtech [43] hrdigitalbe,thx4rt [38] #hr,#hrtech [36] #hrtech,#futureofhr [34] #futureofwork,#hrtech Top Word Pairs in Tweet in G2:
[128] inventor,#china [128] #china,built [128] built,flying [128] flying,motorbike [128] motorbike,future [128] future,travel [128] travel,bbc [127] bbc,#reggieinchina [120] baski_la,inventor [39] predicts,performance Top Word Pairs in Tweet in G3:
[41] #hr,#hrtech [22] #hrtech,#hiring [20] #hrtech,#fittech [20] #hiring,#jobsearch [19] #hrtech,#hr [14] #fitlinktips,today's [14] today's,tip [13] learn,more [12] #futureofwork,#hrtech [12] quick,easy Top Word Pairs in Tweet in G4:
[22] holgermu,constellationr [21] #hr,#hrtech [19] #futureofwork,#hrtech [16] constellationr,#futureofwork [15] report,adp [15] adp,debuts [15] debuts,next [15] next,gen [15] gen,#hcm [15] #hcm,holgermu Top Word Pairs in Tweet in G5:
[237] martinhoyes,exchangeseva [193] exchangeseva,prasunjmishra [193] prasunjmishra,oraclestartup [193] oraclestartup,sventrepreneur [193] sventrepreneur,founding [101] modern,#timebanking [85] presidential,candidate [74] #sdgs,#socent [74] founding,#andrewyang [73] team,winning Top Word Pairs in Tweet in G6:
[116] #hrtech,#leadership [106] #leadership,#shrm [35] #hr,#hrtech [30] #hrtech,#hr [22] hr,tech [15] today's,hr [15] tech,daily [15] daily,released [15] released,stories [12] #ukmfg,#uksmallbizrt Top Word Pairs in Tweet in G7:
[7] #hr,#hrtech [6] #microlearning,content [6] content,served [6] served,smaller [6] smaller,chunks [6] chunks,consumed [6] consumed,anytime [6] anytime,anyplace [6] anyplace,material [6] material,fast Top Word Pairs in Tweet in G8:
[12] hr,leaders [7] #bridgeconeurope,stage [6] driving,change [6] change,hr [6] first,three [6] three,months [6] click,link [6] link,learn [6] learn,more [6] core,leader Top Word Pairs in Tweet in G9:
[14] recognizing,efforts [12] excited,launch [12] launch,#newcodeofwork [12] #newcodeofwork,#awards [12] #awards,2020 [12] 2020,initiative [12] initiative,close [12] close,vision [12] vision,recognizing [11] peoplestrong,excited Top Word Pairs in Tweet in G10:
[19] digital,transformation [11] #hr,#hrtech [11] #hr,#humanresources [11] recruitment,process [10] #digitaltransformation,#digital [9] difficult,part [9] part,recruitment [9] #hrtech,#technology [8] know,more [7] hr,professionals Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: