The graph represents a network of 3,534 Twitter users whose recent tweets contained "HumanResources", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Wednesday, 17 June 2020 at 16:03 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 10-minute period from Tuesday, 09 June 2020 at 14:52 UTC to Wednesday, 17 June 2020 at 16:02 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 : 3534
Unique Edges : 5456
Edges With Duplicates : 4968
Total Edges : 10424
Self-Loops : 2457
Reciprocated Vertex Pair Ratio : 0.0976946334089191
Reciprocated Edge Ratio : 0.177999655706662
Connected Components : 1117
Single-Vertex Connected Components : 730
Maximum Vertices in a Connected Component : 1399
Maximum Edges in a Connected Component : 7028
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.685093
Graph Density : 0.00046525515508959
Modularity : 0.463921
NodeXL Version : 1.0.1.433
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=229456
Data Import : The graph represents a network of 3,534 Twitter users whose recent tweets contained "HumanResources", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Wednesday, 17 June 2020 at 16:03 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 10-minute period from Tuesday, 09 June 2020 at 14:52 UTC to Wednesday, 17 June 2020 at 16:02 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 : HumanResources
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Relationship
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in G2:
[243] #humanresources,#giveaway [71] #hr,#quiz [44] #quiz,#humanresources [34] #contest,#hr [30] system,thinking [28] #contestalert,#contest [28] thinking,#contestalert [24] #giveaway,levensloop1 [24] levensloop1,system [20] levensloop1,join Top Word Pairs in Tweet in G3:
[449] #hr,#humanresources [415] digital,hrms [412] per,day [406] #london,#jobsinlondon [367] #jobsinlondon,#londonjobs [331] #jobsuk,#jobalert [322] #jobalert,#jobs [227] #jobs,#selfemployeduk [184] #selfemployeduk,#contractors [159] #londonjobs,#jobsuk Top Word Pairs in Tweet in G4:
[156] #hr,#humanresources [45] #humanresources,#hiring [39] #hiring,#recruitment [39] #jobsearch,#hiring [39] #hiring,#job [39] #recruiting,#hr [39] #jobs,#jobsearch [39] #humanresources,#hr [38] #work,#careers [32] #jobs,#careers Top Word Pairs in Tweet in G5:
[162] #hr,#humanresources [49] #iopsych,#hr [39] rt,talent_metrics [35] #humanresources,#hr [31] #humanresources,#talentmanagement [31] #humanresources,#iopsych [29] #edge,#talent [28] #talent,#hr [27] #hr,#virtual [27] #digital,#hrcommunity Top Word Pairs in Tweet in G6:
[96] #humanresources,#giveaway [52] #contest,#hr [41] #hr,#quiz [26] #quiz,#humanresources [23] system,thinking [14] #contestalert,#contest [12] thinking,#contestalert [12] hr,quiz [12] quiz,#1 [12] monthly,hr Top Word Pairs in Tweet in G7:
[52] #hr,#humanresources [51] human,resources [51] #jobseekers,1 [51] 1,000's [30] 000's,#jobs [30] #administration,#technology [25] #technology,#softwaredevelopment [25] #softwaredevelopment,#nursing [25] #nursing,#education [23] #education,#humanresources Top Word Pairs in Tweet in G8:
[37] #humanresources,#giveaway [22] #hr,#quiz [21] #quiz,#humanresources [21] #contest,#hr [21] system,thinking [21] levensloop1,system [21] #contestalert,#contest [21] monthly,hr [21] hr,quiz [21] quiz,#1 Top Word Pairs in Tweet in G9:
[23] #hiring,#jobsearch [22] #hrservices,#hrsolutions [22] #hrsolutions,#startup [20] #startup,#hr [14] #hr,#humanresources [13] #humanresources,#recruitment [11] #recruitment,#humanresourcesmanagement [11] #humanresourcesmanagement,#hiring [11] #jobsearch,#business [11] #business,#recruiting Top Word Pairs in Tweet in G10:
[54] #hr,#humanresources [53] #recruitment,#recruiting [53] #humanresources,#hrtech [53] #hiring,#recruitment [53] #hr,#business [53] #recruiting,#hr [53] learn,more [53] top,5 [53] skills,future [53] future,proof Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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