The graph represents a network of 425 Twitter users whose tweets in the requested range contained "sharingeconomy ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 13 September 2020 at 20:46 UTC.
The requested start date was Sunday, 13 September 2020 at 00:01 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 13-day, 7-hour, 9-minute period from Sunday, 30 August 2020 at 01:00 UTC to Saturday, 12 September 2020 at 08:10 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 : 425
Unique Edges : 289
Edges With Duplicates : 793
Total Edges : 1082
Number of Edge Types : 5
Retweet : 230
MentionsInRetweet : 331
Mentions : 255
Replies to : 15
Tweet : 251
Self-Loops : 259
Reciprocated Vertex Pair Ratio : 0.0586854460093897
Reciprocated Edge Ratio : 0.110864745011086
Connected Components : 110
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 87
Maximum Edges in a Connected Component : 380
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.2015
Graph Density : 0.00250277469478357
Modularity : 0.410436
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 425 Twitter users whose tweets in the requested range contained "sharingeconomy ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 13 September 2020 at 20:46 UTC.
The requested start date was Sunday, 13 September 2020 at 00:01 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 13-day, 7-hour, 9-minute period from Sunday, 30 August 2020 at 01:00 UTC to Saturday, 12 September 2020 at 08:10 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 : sharingeconomy
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:
[58] transportieren,kannst [58] kannst,anschauen [57] anschauen,#transport [57] #mitfahrgelegenheit,#sharingeconomy [57] #sharingeconomy,#spedition [57] #spedition,#kurier [55] beiladung,transportieren [54] #transport,#beiladung [53] #beiladung,#umzug [53] #umzug,#mitfahrgelegenheit Top Word Pairs in Tweet in G1:
[50] esclavitud,digital [47] eraser,#bdt [46] #blockchain,#digitaltransformation [45] #crypto,#cryptocurrency [41] emergencia,esclavitud [40] #bdt,#blockchain [36] eraser,#t5es [35] #sharingeconomy,#gigeconomy [35] #t5es,emergencia [26] #digitaltransformation,#fintech Top Word Pairs in Tweet in G2:
[15] sharing,economy [4] sharing,platform [4] #sharingeconomy,one [4] one,share [3] #economy,#circulareconomy [3] #circulareconomy,#wearethecreativeeconomy [3] #wearethecreativeeconomy,#sharingeconomy [3] #sharingeconomy,#gigeconomy [3] #gigeconomy,#greeneconomy [3] #greeneconomy,#indianeconomy Top Word Pairs in Tweet in G3:
[9] sharing,economy [7] covering,past [7] past,present [7] present,future [7] future,#librariesofthings [7] #librariesofthings,lots [7] lots,available [7] available,#free [7] #free,pdf [7] pdf,shareable Top Word Pairs in Tweet in G4:
[19] fact,day [19] day,know [19] know,cpucoin [19] cpucoin,provides [19] provides,times [19] times,throughput [19] throughput,aws [19] aws,#decentralized [19] #decentralized,#sharingeconomy [19] #sharingeconomy,#cpucoin Top Word Pairs in Tweet in G5:
[12] paper,open [12] open,access [12] access,safeguarding [12] safeguarding,public [12] public,interests [12] interests,platform [12] platform,economy [12] economy,policy [12] policy,internet [12] internet,12 Top Word Pairs in Tweet in G6:
[11] read,echangeur [11] echangeur,face [11] face,crise [10] cecilegauffriau,read [10] crise,conomique [10] conomique,fragilisera [10] fragilisera,mã [10] mã,nages [10] nages,lâ [10] lâ,conomie Top Word Pairs in Tweet in G7:
[6] finally,arrived [6] arrived,today [6] today,#disruptiveurbanism [6] #disruptiveurbanism,implications [6] implications,#sharingeconomy [6] #sharingeconomy,#cities [6] #cities,#regions [5] planographer,finally [5] #regions,#urbanpol [2] planosopher,pommiepaulyb Top Word Pairs in Tweet in G8:
[10] tallinn,based [10] based,cachet [10] cachet,collects [10] collects,over [10] over,million [10] million,cut [10] cut,insurance [10] insurance,rates [10] rates,gig [10] gig,workers Top Word Pairs in Tweet in G9:
[7] #ruckify,#sharingeconomy [6] great,photo [6] photo,couple [6] couple,ruckify [6] ruckify,team [6] team,members [6] members,ottawa [6] ottawa,city [6] city,councillor [6] councillor,jleiper Top Word Pairs in Tweet in G10:
[6] fully,automated [6] automated,#bank [6] #bank,#china [6] #china,using [6] using,#ai [6] #ai,#facialrecognition [6] #facialrecognition,#vr [6] #vr,dailymail [6] dailymail,cc [6] cc,xbond49 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
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: