The graph represents a network of 3,736 Twitter users whose tweets in the requested range contained "#hr", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 05 February 2022 at 00:23 UTC.
The requested start date was Friday, 04 February 2022 at 01:01 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 2-day, 8-hour, 3-minute period from Tuesday, 01 February 2022 at 16:56 UTC to Friday, 04 February 2022 at 01:00 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 : 3736
Unique Edges : 3484
Edges With Duplicates : 11418
Total Edges : 14902
Number of Edge Types : 5
Tweet : 2686
Retweet : 4416
MentionsInRetweet : 6093
Mentions : 1578
Replies to : 129
Self-Loops : 2791
Reciprocated Vertex Pair Ratio : 0.0239706166634448
Reciprocated Edge Ratio : 0.0468189541249764
Connected Components : 594
Single-Vertex Connected Components : 408
Maximum Vertices in a Connected Component : 2800
Maximum Edges in a Connected Component : 13695
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.137604
Graph Density : 0.000379605502667343
Modularity : 0.318976
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,736 Twitter users whose tweets in the requested range contained "#hr", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 05 February 2022 at 00:23 UTC.
The requested start date was Friday, 04 February 2022 at 01:01 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 2-day, 8-hour, 3-minute period from Tuesday, 01 February 2022 at 16:56 UTC to Friday, 04 February 2022 at 01:00 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 : #hr
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:
[860] data,recovery [722] recovery,app [466] recover,deleted [398] deleted,videos [378] videos,audios [251] audios,photos [250] app,data [250] app,powerful [250] powerful,recovery [250] recovery,tool Top Word Pairs in Tweet in G1:
[154] #leadership,#hr [137] link,bio [99] #hr,#humanresources [98] click,link [90] #hiring,#hr [77] follow,hrjobsforhr [76] human,resources [75] learn,more [67] read,more [64] #hr,job Top Word Pairs in Tweet in G2:
[26] #hr,#humanresources [13] #hr,#vlada [11] learn,more [9] #hiring,#hr [9] #hr,#recruitment [9] 아프지,말고 [8] gt,gt [8] #leadership,#hr [8] #humanresources,#hr [7] human,resources Top Word Pairs in Tweet in G3:
[802] data,recovery [674] recovery,app [434] recover,deleted [371] deleted,videos [352] videos,audios [235] app,data [235] app,powerful [235] powerful,recovery [235] recovery,tool [235] tool,recover Top Word Pairs in Tweet in G4:
[19] #hr,#futureofwork [14] discover,#hr [13] #hr,professionals [12] help,#hr [11] employees,feel [10] unconscious,bias [10] three,strategies [10] strategies,help [10] #covid19,pushed [10] pushed,organizations Top Word Pairs in Tweet in G5:
[2] kavitha_taurus,farooqbinadam [2] farooqbinadam,proftimnoakes [2] proftimnoakes,jeremyfarrar [2] jeremyfarrar,michelle_cruk [2] michelle_cruk,ukri_ceo [2] ukri_ceo,universitiesuk [2] universitiesuk,union_newsuk [2] do_kinder,deborahserani [2] deborahserani,#antibullyingweek [2] #antibullyingweek,review Top Word Pairs in Tweet in G6:
[72] #hr,bartender [52] types,employee [52] employee,surveys [52] use,#hr [36] surveys,best [36] best,way [36] way,use [34] #recruiting,#employeeexperience [21] #leadership,#management [18] bartender,#recruiting Top Word Pairs in Tweet in G7:
[15] experts,sharing [10] #eor,handles [10] handles,#hr [10] #hr,support [10] support,guides [10] guides,both [10] both,client [10] client,workers [10] workers,#global [10] #global,expansion Top Word Pairs in Tweet in G8:
[22] #omnia,#hr [19] latest,hrhappyhour [19] hrhappyhour,show [13] #hr,#hrtech [12] #hr,#omniaassessment [10] learn,more [10] more,latest [10] outbound,recruiting [8] job,search [8] 2022,#hr Top Word Pairs in Tweet in G9:
[41] #leadership,#hr [22] #hr,#leadership [20] love,share [20] share,article [11] please,retweet [8] gordontredgold,love [8] gordon,tredgold [6] failures,triumph [6] triumph,courage [6] courage,try Top Word Pairs in Tweet in G10:
[4] love_a_man,mynation_net [4] mynation_net,rashtrapatibhvn [4] rashtrapatibhvn,narendramodi [4] narendramodi,rahulgandhi [4] rahulgandhi,rajthakre09 [4] rajthakre09,thakreuddhav [4] thakreuddhav,arvindkejriwal [2] arvindkejriwal,bjp4india [2] bjp4india,incindia [2] incindia,theshivsena Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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 Replied-To in G10:
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: