The graph represents a network of 1,719 Twitter users whose recent tweets contained "#SHRM22 OR #SHRM", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 21 June 2022 at 15:08 UTC.
The tweets in the network were tweeted over the 9-day, 7-hour, 29-minute period from Sunday, 12 June 2022 at 07:13 UTC to Tuesday, 21 June 2022 at 14:43 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 : 1719
Unique Edges : 3501
Edges With Duplicates : 8317
Total Edges : 11818
Number of Edge Types : 5
Tweet : 1769
Retweet : 2787
Mentions : 3590
MentionsInRetweet : 2947
Replies to : 725
Self-Loops : 1863
Reciprocated Vertex Pair Ratio : 0.119990042320139
Reciprocated Edge Ratio : 0.21426983774172
Connected Components : 324
Single-Vertex Connected Components : 264
Maximum Vertices in a Connected Component : 1314
Maximum Edges in a Connected Component : 11195
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.034698
Graph Density : 0.00152341054339604
Modularity : 0.242227
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,719 Twitter users whose recent tweets contained "#SHRM22 OR #SHRM", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 21 June 2022 at 15:08 UTC.
The tweets in the network were tweeted over the 9-day, 7-hour, 29-minute period from Sunday, 12 June 2022 at 07:13 UTC to Tuesday, 21 June 2022 at 14:43 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 : TwitterSearch
Graph Term : #SHRM22 OR #SHRM
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[716] #shrm22,#shrm22influencer [533] #shrm22influencer,#causetheeffect [454] #shrm22,#causetheeffect [368] shrm,#shrm22 [155] #shrm22,#hr [153] #shrm22,shrm [146] #causetheeffect,#shrm22influencer [146] #claireshares,#shrm22 [141] #hr,#humanresources [137] mental,health Top Word Pairs in Tweet in G1:
[42] #shrm22,#causetheeffect [41] annual,conference [41] #hr,bartender [40] shrm,#shrm22 [37] #shrm22,#shrm22influencer [32] stop,booth [32] mega,session [30] #hr,professionals [29] #shrm22,attendees [28] session,#shrm22 Top Word Pairs in Tweet in G2:
[601] #shrm22,#shrm22influencer [464] #shrm22influencer,#causetheeffect [295] #shrm22,#causetheeffect [272] shrm,#shrm22 [131] #causetheeffect,#shrm22influencer [127] #claireshares,#shrm22 [101] sbrownehr,#shrm22 [87] #shrm22,shrm [83] shrm,#shrm22influencer [79] #shrm,#shrm22 Top Word Pairs in Tweet in G3:
[19] stop,booth [17] visit,booth [14] cause,effect [14] #shrm,#hr [13] annual,conference [13] #shrm22,#shrm [13] #hr,#humanresources [13] #hr,#shrm [11] learn,more [10] #shrm22,conference Top Word Pairs in Tweet in G4:
[48] #workingnationoverheard,#shrm22 [47] johnnyctaylorjr,#shrm22 [33] #shrm22,#causetheeffect [32] #shrm22,#nonprofithr [30] #causetheeffect,watch [30] shrm,#causetheeffect [22] told,#workingnationoverheard [21] tells,#workingnationoverheard [21] mental,health [20] #betheoneyouneed,#shrm22 Top Word Pairs in Tweet in G5:
[44] #shrm22,#shrm [39] #shrm,shrm [16] team,#shrm22 [15] shrm,2022 [14] seen,heard [14] heard,#shrm22 [12] child,care [11] stop,booth [11] care,benefits [10] #pihra,#shrm Top Word Pairs in Tweet in G6:
[21] #shrm22,#shrm22influencer [12] #shrm22influencer,shrm [11] #shrm22,#causetheeffect [10] better,workplaces [9] workplaces,challenge [9] challenge,cup [9] #causetheeffect,#shrm22 [9] day,#shrm22 [8] #shrm22,attendees [8] cup,#bwcc Top Word Pairs in Tweet in G7:
[119] #csr,#corpgov [113] #hrtech,#shrm [107] #salesforce,#finserv [94] #hr,#humanresources [91] #hrtech,#salesforce [91] #adp,#sap [84] #shrm,#bigdata [83] #shrm22,#hr [77] #futureofwork,#wef [76] #hranalytics,#csuite Top Word Pairs in Tweet in G8:
[60] #shrm22,#causetheeffect [36] #causetheeffect,shrm [36] shrm,getampll [26] shrm,#shrm22 [17] #shrm22,shrm [10] #shrm22,#shrm22influencer [10] tess,breseden [10] breseden,thrive [10] #shrm,#leadership [8] extinguish,burnout Top Word Pairs in Tweet in G9:
[22] attending,biggest [22] biggest,hr [22] hr,conference [22] conference,#shrm22 [22] #shrm22,orleans [22] orleans,usa [22] usa,more [22] more,15000 [22] 15000,hr [22] hr,professionals Top Word Pairs in Tweet in G10:
[27] r3_continuum,booth [14] booth,#shrm22 [8] booth,#4259 [8] stopped,r3_continuum [6] #shrm22,#shrm22influencer [6] shrm,512 [6] 512,548 [5] awesome,jmillermerrell [5] jmillermerrell,back [5] back,interview Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: