The graph represents a network of 825 Twitter users whose recent tweets contained "#UpSkilling", 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, 20 April 2021 at 17:48 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 37-minute period from Monday, 12 April 2021 at 17:02 UTC to Tuesday, 20 April 2021 at 17:40 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 : 825
Unique Edges : 1071
Edges With Duplicates : 369
Total Edges : 1440
Number of Edge Types : 5
Tweet : 304
Mentions : 378
Retweet : 367
MentionsInRetweet : 381
Replies to : 10
Self-Loops : 315
Reciprocated Vertex Pair Ratio : 0.0304621848739496
Reciprocated Edge Ratio : 0.0591233435270133
Connected Components : 268
Single-Vertex Connected Components : 129
Maximum Vertices in a Connected Component : 197
Maximum Edges in a Connected Component : 594
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.696842
Graph Density : 0.00144307149161518
Modularity : 0.685135
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 825 Twitter users whose recent tweets contained "#UpSkilling", 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, 20 April 2021 at 17:48 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 37-minute period from Monday, 12 April 2021 at 17:02 UTC to Tuesday, 20 April 2021 at 17:40 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 : #UpSkilling
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:
[92] #upskilling,#reskilling [76] #reskilling,#upskilling [54] #learning,#upskilling [35] #hcm,#esg [33] #upskilling,#training [26] #deib,#diversity [26] #hranalytics,#wellbeing [26] #wellbeing,#nonprofit [26] #upskilling,#startup [26] #startup,#employeeexperience Top Word Pairs in Tweet in G1:
[17] #upskilling,#reskilling [9] #reskilling,#upskilling [6] read,full [6] #upskilling,opportunities [5] find,more [5] skills,gap [5] #training,#upskilling [5] apply,next [5] opportunities,cognizant [4] #upskilling,key Top Word Pairs in Tweet in G2:
[14] #sdgs,cc [12] #humanresources,#upskilling [10] #digital,roles [10] roles,top [10] top,list [10] list,#jobs [10] #jobs,rise [10] rise,2021 [10] 2021,wef [10] wef,#upskilling Top Word Pairs in Tweet in G3:
[27] #upskilling,#training [21] #funded,#upskilling [16] world,work [16] #business,#sme's [16] #sme's,free [16] free,fast [16] fast,advice [16] advice,#funded [16] #training,needs [16] needs,initiative Top Word Pairs in Tweet in G4:
[15] funded,places [15] places,available [10] future,skills [10] skills,career [10] career,day [9] fully,funded [9] available,those [9] those,meet [9] meet,scotfundcouncil [9] scotfundcouncil,eligibility Top Word Pairs in Tweet in G5:
[35] #learning,#upskilling [34] #hcm,#esg [26] #hranalytics,#wellbeing [26] #shrm,#atd [25] #deib,#diversity [25] #wellbeing,#nonprofit [25] #upskilling,#startup [25] #startup,#employeeexperience [25] #employeeexperience,#community [25] #atd,#socent Top Word Pairs in Tweet in G6:
[22] enrol,#knowledgehut [18] #agile,#scrum [16] #knowledgehut,#csm [16] #scrum,#scrummaster [14] #csm,#upskilling [14] #upskilling,#it [13] need,career [13] career,boost [13] boost,#uk [13] #uk,#scotland Top Word Pairs in Tweet in G7:
[20] #pwc_venezuela,iniciará [20] iniciará,mayo [20] mayo,2021 [20] 2021,xii [20] xii,jornadas [20] jornadas,excelencia [20] excelencia,profesional [20] profesional,junio [20] junio,2021 [20] 2021,miércoles Top Word Pairs in Tweet in G8:
[11] year,#alteryxinspire [11] co,founder [11] olivia,duane [11] duane,adams [11] adams,hosting [11] alteryx,event [11] speakers,touch [11] touch,topics [10] founder,cao [10] cao,olivia Top Word Pairs in Tweet in G9:
[3] english,language [2] business,investment [2] investment,#upskilling [2] #upskilling,incumbent [2] incumbent,workers [2] workers,lessons [2] lessons,pre [2] pre,lean [2] lean,esol [2] esol,program Top Word Pairs in Tweet in G10:
[13] constellium,skilled [13] skilled,trades [13] trades,scholarship [13] scholarship,program [13] program,accepting [13] accepting,applications [13] applications,until [13] until,april [13] april,23 [13] 23,#apprenticeships Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
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 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: