The graph represents a network of 1,925 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 23:52 UTC.
The tweets in the network were tweeted over the 1725-day, 19-hour, 18-minute period from Thursday, 14 June 2018 at 05:37 UTC to Monday, 06 March 2023 at 00:55 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 : 1925
Unique Edges : 1593
Edges With Duplicates : 7087
Total Edges : 8680
Number of Edge Types : 9
Tweet : 1952
Retweet : 1529
MentionsInRetweet : 2096
Mentions : 2592
MentionsInReplyTo : 72
Replies to : 206
Quote : 163
MentionsInQuote : 69
MentionsInQuoteReply : 1
Self-Loops : 2740
Reciprocated Vertex Pair Ratio : 0.066951566951567
Reciprocated Edge Ratio : 0.125500667556742
Connected Components : 482
Single-Vertex Connected Components : 318
Maximum Vertices in a Connected Component : 1006
Maximum Edges in a Connected Component : 6342
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.825582
Graph Density : 0.000606690606690607
Modularity : 0.25683
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,925 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 23:52 UTC.
The tweets in the network were tweeted over the 1725-day, 19-hour, 18-minute period from Thursday, 14 June 2018 at 05:37 UTC to Monday, 06 March 2023 at 00:55 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:
[638] mitchzenger,synctrics [381] #hr,#hrtech [307] people,analytics [276] #humanresources,#hrtech [246] #hr,#humanresources [233] hr,tech [190] apside,cdi [185] #data4good,#salesforce [155] #data,#datascience [132] #hrtech,#hr Top Word Pairs in Tweet in G1:
[57] #hr,#hrtech [30] hr,tech [25] #hrtech,#hr [18] quick,easy [18] #technology,#whitepapers [18] submit,#hrtrends [18] reach,mass [18] easy,way [18] #whitepapers,reach [18] #hr,#technology Top Word Pairs in Tweet in G2:
[183] #data4good,#salesforce [153] #data,#datascience [126] #datascience,#ai [125] #hr,#humanresources [125] #mwc23,#mwc2023 [117] #humanresources,#hrtech [113] #salesforce,#data [103] #corpgov,#csuite [98] #ai,#bigdata [87] #futureofwork,#hr Top Word Pairs in Tweet in G3:
[638] mitchzenger,synctrics [295] people,analytics [114] 'future,work' [114] #futureofwork,#leadership [111] #hrtech,#peopleanalytics [110] analytics,data [108] teams,mitchzenger [104] need,better [92] synctrics,#hrtech [89] together,teams Top Word Pairs in Tweet in G4:
[99] #hr,#humanresources [98] #humanresources,#hrtech [49] hr,tech [39] #hrtech,stories [39] magazine,#hrtech [39] tech,magazine [20] 2023,#hr [15] hr,technology [14] texting,solutions [14] #hrtech,#ai Top Word Pairs in Tweet in G5:
[110] #hr,#hrtech [109] #hrtech,#hrnews [106] #hrnews,#hrtechnews [6] human,resources [6] human,resource [5] global,hiring [4] internal,talent [4] experience,platforms [4] read,more [4] platforms,internal Top Word Pairs in Tweet in G6:
[61] #gpt3,#nodejs [61] use,cases [61] turn,cv [61] data,#gpt3 [61] cases,different [61] #nodejs,different [61] providers,without [61] cv,structured [61] structured,data [61] different,api Top Word Pairs in Tweet in G7:
[25] deals,last [25] #india's,#startup [25] last,week [25] ecosystem,raised [25] week,feb [25] #startup,ecosystem [22] prosunjoyi,#india's [18] hrtech,startup [13] raised,310 [13] 21,deals Top Word Pairs in Tweet in G9:
[11] hr,tech [8] episode,#hrtechchat [7] #hrtech,#roundtable [6] goldberg,sbghrtech [6] #hr,#hrtech [6] #hrtechchat,guest [6] host,brentskinner [6] guest,steve [6] covered,country [6] country,mile Top Word Pairs in Tweet in G10:
[22] workplaces,challenge [22] better,workplaces [21] challenge,cup [14] san,francisco [11] #shrmtech23,conference [11] next,week [10] shrm,better [9] francisco,next [9] team,#shrmtech23 [9] around,world Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 G10: