The graph represents a network of 401 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, 02 May 2021 at 23:22 UTC.
The requested start date was Sunday, 02 May 2021 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, 11-hour, 28-minute period from Sunday, 18 April 2021 at 06:42 UTC to Saturday, 01 May 2021 at 18:11 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 : 401
Unique Edges : 329
Edges With Duplicates : 975
Total Edges : 1304
Number of Edge Types : 5
Retweet : 317
MentionsInRetweet : 544
Mentions : 238
Replies to : 5
Tweet : 200
Self-Loops : 202
Reciprocated Vertex Pair Ratio : 0.0460251046025105
Reciprocated Edge Ratio : 0.088
Connected Components : 96
Single-Vertex Connected Components : 38
Maximum Vertices in a Connected Component : 96
Maximum Edges in a Connected Component : 678
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.478641
Graph Density : 0.00311720698254364
Modularity : 0.366975
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 401 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, 02 May 2021 at 23:22 UTC.
The requested start date was Sunday, 02 May 2021 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, 11-hour, 28-minute period from Sunday, 18 April 2021 at 06:42 UTC to Saturday, 01 May 2021 at 18:11 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:
[84] #bdt,#blockchain [81] eraser,#bdt [71] #blockchain,#digitaltransformation [60] transportieren,kannst [60] kannst,anschauen [60] anschauen,#transport [60] #transport,#beiladung [60] #mitfahrgelegenheit,#sharingeconomy [60] #sharingeconomy,#spedition [60] #spedition,#kurier Top Word Pairs in Tweet in G1:
[84] #bdt,#blockchain [81] eraser,#bdt [71] #blockchain,#digitaltransformation [51] eraser,#t5es [47] #crypto,#cryptocurrency [45] #sharingeconomy,#gigeconomy [34] #t5es,emergencia [34] emergencia,esclavitud [29] esclavitud,digital [26] journal,british Top Word Pairs in Tweet in G2:
[5] sharing,economy [5] #gigeconomy,#sharingeconomy [4] 2021,conferences [4] conferences,summits [4] summits,call [4] call,speakers [4] speakers,registration [4] registration,sponsorship [4] sponsorship,open [4] spring,live Top Word Pairs in Tweet in G3:
[60] transportieren,kannst [60] kannst,anschauen [60] anschauen,#transport [60] #transport,#beiladung [60] #mitfahrgelegenheit,#sharingeconomy [60] #sharingeconomy,#spedition [60] #spedition,#kurier [59] beiladung,transportieren [59] #beiladung,#umzug [59] #umzug,#mitfahrgelegenheit Top Word Pairs in Tweet in G4:
[25] #1m2021,enricocoppotell [25] enricocoppotell,linchiesta_news [25] linchiesta_news,#lazio [25] #lazio,migliaia [25] migliaia,giovani [25] giovani,figli [25] figli,generazione [25] generazione,ai [25] ai,quali [25] quali,stato Top Word Pairs in Tweet in G5:
[11] participants,needed [7] crowdsourced,local [7] local,delivery [7] delivery,comparison [7] comparison,stakeholder [6] needed,top [6] top,ranked [6] ranked,study [6] study,surveycircle [6] #survey,#surveycircle Top Word Pairs in Tweet in G6:
[4] part,#fashionrevolutionweek [4] #fashionrevolutionweek,ceci [4] ceci,highlight [4] highlight,ceci [4] ceci,#podcast [4] #podcast,listen [4] listen,finnish [4] finnish,discussing [3] europececi,part [3] discussing,vaatep Top Word Pairs in Tweet in G7:
[6] excited,see [6] see,transitionex8 [6] transitionex8,library [6] library,things [6] things,getting [6] getting,ground [6] ground,funding [6] funding,tnlcomfund [6] tnlcomfund,help [6] help,create Top Word Pairs in Tweet in G8:
[6] homeshare,model [6] model,simultaneously [6] simultaneously,impacting [6] impacting,housing [6] housing,social [6] social,care [6] care,#thinkhomeshare [6] #thinkhomeshare,#transformcare [6] #transformcare,#sharingeconomy [5] shareandcareorg,homeshare Top Word Pairs in Tweet in G9:
[7] make,money [5] canrevagency,make [5] money,driver [5] driver,#ridesharing [5] #ridesharing,food [5] food,delivery [5] delivery,services [5] services,provided [5] provided,app [4] app,deta Top Word Pairs in Tweet in G10:
[3] icymi,national [3] national,stop [3] stop,#foodwaste [3] #foodwaste,day [3] day,profs [3] profs,steve [3] steve,hamilton [3] hamilton,orfaleacollege [3] orfaleacollege,tim [3] tim,richards Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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: