The graph represents a network of 1,875 Twitter users whose recent tweets contained "HRtech ", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 23:53 UTC.
The tweets in the network were tweeted over the 1732-day, 18-hour, 7-minute period from Thursday, 14 June 2018 at 05:37 UTC to Sunday, 12 March 2023 at 23:44 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 1875
Unique Edges : 1550
Edges With Duplicates : 7097
Total Edges : 8647
Number of Edge Types : 8
Retweet : 1489
MentionsInRetweet : 2077
Tweet : 2029
Mentions : 2593
Quote : 114
MentionsInQuote : 54
Replies to : 223
MentionsInReplyTo : 68
Self-Loops : 2700
Reciprocated Vertex Pair Ratio : 0.0743079164643031
Reciprocated Edge Ratio : 0.138336347197107
Connected Components : 480
Single-Vertex Connected Components : 314
Maximum Vertices in a Connected Component : 1007
Maximum Edges in a Connected Component : 6046
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.934315
Graph Density : 0.000629526858769121
Modularity : 0.252137
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,875 Twitter users whose recent tweets contained "HRtech ", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 23:53 UTC.
The tweets in the network were tweeted over the 1732-day, 18-hour, 7-minute period from Thursday, 14 June 2018 at 05:37 UTC to Sunday, 12 March 2023 at 23:44 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[649] mitchzenger,synctrics [352] #hr,#hrtech [308] people,analytics [267] apside,cdi [254] #humanresources,#hrtech [237] hr,tech [234] #hr,#humanresources [196] billancourt,92 [196] cdi,boulogne [196] boulogne,billancourt Top Word Pairs in Tweet in G1:
[40] #hr,#hrtech [36] hr,tech [31] #hrtech,#hr [19] quick,easy [19] #technology,#whitepapers [19] submit,#hrtrends [19] reach,mass [19] easy,way [19] #whitepapers,reach [19] #hr,#technology Top Word Pairs in Tweet in G2:
[191] #humanresources,#hrtech [180] #hr,#humanresources [54] #data,#datascience [49] #data4good,#salesforce [48] #datascience,#ai [47] #hrtechconf,virtual [44] #ai,#bigdata [38] #mwc23,#mwc2023 [38] #salesforce,#data [29] #mwc2023,#data4good Top Word Pairs in Tweet in G3:
[145] #hr,#hrtech [144] #hrtech,#hrnews [127] #hrnews,#hrtechnews [14] #hrnews,#humanresources [13] #humanresources,#hrtechnews [8] #hr,leaders [6] human,resources [6] employee,benefits [5] learning,development [5] #hrtechnews,#qualtrics Top Word Pairs in Tweet in G4:
[39] hr,tech [38] #hrtech,stories [38] magazine,#hrtech [38] tech,magazine [14] texting,solutions [13] know,more [12] improve,#candidateexperience [12] cadient,texting [10] #hrtech,#hrsolutions [10] #talentacquisition,#hrtech Top Word Pairs in Tweet in G5:
[649] mitchzenger,synctrics [280] people,analytics [123] analytics,data [113] 'future,work' [111] #hrtech,#peopleanalytics [111] #futureofwork,#leadership [109] need,better [95] teams,mitchzenger [92] use,people [89] synctrics,#hrtech Top Word Pairs in Tweet in G6:
[31] san,francisco [10] hr,technology [9] lipstick,vs [9] payroll,errors [9] next,week [9] #inspirehrwest,#empowerhrtechamericas [9] digital,lipstick [8] team,#shrmtech23 [8] conference,san [8] visit,kiosk Top Word Pairs in Tweet in G7:
[72] #data4good,#salesforce [71] #data,#datascience [61] #datascience,#ai [61] #ai,#bigdata [54] #mwc23,#mwc2023 [54] #salesforce,#data [44] #mwc2023,#data4good [39] #bigdata,#crm [38] #startup,#startups [36] #crm,#startup Top Word Pairs in Tweet in G8:
[27] #thinkbigsundaywithmarsha,ragusosergio [27] see,far [27] rumi,#thinkbigsundaywithmarsha [27] lavaletteastrid,kanezadiane [27] more,see [27] ragusosergio,lavaletteastrid [27] far,rumi [27] closer,more [26] baski_la,closer [4] #iot,#ai Top Word Pairs in Tweet in G9:
[11] #hrtechfestivalasia,2023 [10] largest,award [10] #azilen,#hrtech [10] asia,largest [10] 2023,welcomes [10] award,winning [10] meet,asia [10] winning,#hrtech [10] hrtech,virtual [9] person,10 Top Word Pairs in Tweet in G10:
[7] series,office [6] #fintech,startup [6] #venturecapital,#startup [6] 20,stake [6] seed,series [6] #startup,#startups [4] stake,payroll [4] match,list [4] included,chat [4] #incredcapital,#fintech Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Replied-To in G10:
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 G7:
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Top Tweeters in G10: