The graph represents a network of 2,337 Twitter users whose recent tweets contained "gigeconomy", 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 Saturday, 29 February 2020 at 05:41 UTC.
The tweets in the network were tweeted over the 9-day, 10-hour, 34-minute period from Wednesday, 19 February 2020 at 18:02 UTC to Saturday, 29 February 2020 at 04:37 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 : 2337
Unique Edges : 2904
Edges With Duplicates : 1230
Total Edges : 4134
Number of Edge Types : 5
MentionsInRetweet : 1673
Retweet : 616
Tweet : 710
Mentions : 995
Replies to : 140
Self-Loops : 728
Reciprocated Vertex Pair Ratio : 0.0151898734177215
Reciprocated Edge Ratio : 0.029925187032419
Connected Components : 537
Single-Vertex Connected Components : 270
Maximum Vertices in a Connected Component : 754
Maximum Edges in a Connected Component : 2031
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.336186
Graph Density : 0.000514174887603238
Modularity : 0.699552
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 2,337 Twitter users whose recent tweets contained "gigeconomy", 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 Saturday, 29 February 2020 at 05:41 UTC.
The tweets in the network were tweeted over the 9-day, 10-hour, 34-minute period from Wednesday, 19 February 2020 at 18:02 UTC to Saturday, 29 February 2020 at 04:37 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 : gigeconomy
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1446] gt,gt [300] gig,economy [245] #automation,#gigeconomy [243] 25,jobs [243] jobs,emerging [243] emerging,#futureofwork [243] #futureofwork,gt [243] gt,#4ir [243] #4ir,#industry40 [243] #industry40,#ai Top Word Pairs in Tweet in G1:
[39] gig,economy [17] independent,contractors [13] gt,gt [11] side,hustle [10] #gigeconomy,workers [10] #sidehustle,#gigeconomy [8] #entrepreneur,#gigeconomy [8] #gig,#gigeconomy [8] here,top [8] top,11 Top Word Pairs in Tweet in G2:
[1432] gt,gt [241] 25,jobs [241] jobs,emerging [241] emerging,#futureofwork [241] #futureofwork,gt [241] gt,#4ir [241] #4ir,#industry40 [241] #industry40,#ai [241] #ai,#robotics [241] #robotics,#autonomous Top Word Pairs in Tweet in G3:
[36] #california,#gigeconomy [30] #repealab5,#ab5 [19] gavinnewsom,#california [17] #ab5,#walkawayfromdemocrats [17] #walkawayfromdemocrats,asmdems [17] asmdems,gavinnewsom [17] #gigeconomy,#freelancer [15] gig,economy [15] lorenasgonzalez,gavinnewsom [13] leave,government Top Word Pairs in Tweet in G4:
[7] #freelancers,#gigeconomy [6] gig,workers [6] read,more [6] spirosmargaris,brettking [5] gig,economy [5] delighted,featured [5] featured,raconteur [5] raconteur,supplement [5] supplement,thetimes [5] thetimes,today Top Word Pairs in Tweet in G5:
[17] #gigwork,#gigeconomy [16] #gigeconomy,#gigwork [12] adp,study [12] finds,demand [12] creating,opportunities [12] opportunities,tenured [12] prefer,employment [12] employment,status [10] #gigeconomy,workers [10] recent,adp Top Word Pairs in Tweet in G6:
[82] check,out [60] #freelance,#gigeconomy [28] keep,100 [28] need,help [27] need,new [27] new,logo [26] anytaskofficial,26 [26] 26,days [26] days,inception [26] inception,already Top Word Pairs in Tweet in G7:
[23] big,win [23] win,foodora_ca [23] foodora_ca,workers [23] workers,made [23] made,history [23] history,first [23] first,app [23] app,based [23] based,workers [23] workers,unionize Top Word Pairs in Tweet in G8:
[24] foodstersunited,cupw [22] labour,board [21] app,based [19] #gigeconomy,workers [17] right,join [16] congratulations,foodstersunited [15] join,union [14] #canlab,#onpoli [14] unionize,#canlab [14] #canlab,#gigeconomy Top Word Pairs in Tweet in G9:
[12] #futureofwork,#freelancers [12] #freelancers,#gigeconomy [12] #gigeconomy,#hr [12] #hr,#hrtech [11] pre,anniv [11] anniv,bash [11] bash,hr_shapers [11] hr_shapers,#hrshapers6years [11] #hrshapers6years,#hrshapersgettogether [11] coreintegraa,royal Top Word Pairs in Tweet in G10:
[60] cette,semaine [60] semaine,je [60] je,squatte [60] squatte,#coindeslobbies [60] #coindeslobbies,manonaubryfr [60] manonaubryfr,pour [60] pour,vous [60] vous,raconter [60] raconter,notre [60] notre,rencontre Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
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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: