The graph represents a network of 1,091 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, 24 November 2019 at 03:33 UTC.
The requested start date was Sunday, 24 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-day, 15-hour, 1-minute period from Sunday, 10 November 2019 at 01:03 UTC to Friday, 22 November 2019 at 16:05 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 : 1091
Unique Edges : 1280
Edges With Duplicates : 943
Total Edges : 2223
Number of Edge Types : 3
Tweet : 467
Mentions : 1684
Replies to : 72
Self-Loops : 467
Reciprocated Vertex Pair Ratio : 0.041871921182266
Reciprocated Edge Ratio : 0.0803782505910166
Connected Components : 241
Single-Vertex Connected Components : 108
Maximum Vertices in a Connected Component : 325
Maximum Edges in a Connected Component : 1077
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.134017
Graph Density : 0.00106711290878665
Modularity : 0.564837
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,091 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, 24 November 2019 at 03:33 UTC.
The requested start date was Sunday, 24 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-day, 15-hour, 1-minute period from Sunday, 10 November 2019 at 01:03 UTC to Friday, 22 November 2019 at 16:05 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:
[192] #crypto,#cryptocurrency [157] sharing,economy [146] #sharingeconomy,#gigeconomy [62] #blockchain,#crypto [61] #blockchain,#fintech [61] eraser,blockchain [57] kannst,anschauen [56] anschauen,#transport [56] #transport,#beiladung [56] #beiladung,#umzug Top Word Pairs in Tweet in G1:
[191] #crypto,#cryptocurrency [140] #sharingeconomy,#gigeconomy [62] #blockchain,#crypto [61] eraser,blockchain [61] #blockchain,#fintech [44] #cryptocurrency,#criptomonedas [44] #digitaltransformation,#emergingtechnologies [43] tecnología,blockchain [40] journal,british [40] british,blockchain Top Word Pairs in Tweet in G2:
[38] sharing,economy [10] regulation,tricky [10] tricky,business [10] business,sharing [10] #regulation,#sharingeconomy [9] economy,#internetofthings [9] #internetofthings,#regulation [6] επιχειρηματικότητας,#grbossible_2019 [6] αειφορία,πάνελ [6] πάνελ,#sharingeconomy Top Word Pairs in Tweet in G3:
[37] poker,changed [37] changed,sponsored [37] sponsored,wink's [37] wink's,admin [37] admin,#poker [37] #poker,going [37] going,evolve [36] winkpromotion,poker [36] evolve,drasticall [11] die,geteilte Top Word Pairs in Tweet in G4:
[15] sharing,economy [10] economy,global [10] global,summit [7] share,more [7] high,street [7] street,place [7] place,being [7] being,community [7] community,jeremycorbyn [7] jeremycorbyn,let's Top Word Pairs in Tweet in G5:
[9] sharing,cities [8] #smartcity,#sharingcity [8] #sharingcity,team [8] team,representanting [8] representanting,sharing [8] cities,sweden [8] sweden,sharing_sweden [8] sharing_sweden,smartcityexpo [7] smart,map [7] ecovintage,#smartcity Top Word Pairs in Tweet in G6:
[7] #transformationtuesday,future [7] future,retail [7] retail,banking [7] banking,digital [7] digital,challenger [7] challenger,eyes [7] eyes,''what [7] ''what,bank [6] zasteo,#transformationtuesday [6] sharing,economy Top Word Pairs in Tweet in G7:
[16] brazilian,mobility [16] mobility,startup [16] startup,kovi [16] kovi,rents [16] rents,vehicles [16] vehicles,demand [16] demand,drivers [16] drivers,raises [16] raises,30m [16] 30m,series Top Word Pairs in Tweet in G8:
[30] sharing,economy [29] problems,faced [29] faced,#startups [27] #scale,sharing [27] economy,#startup [27] #startup,problems [26] #startups,#sharingeconomy [25] #sharingeconomy,#scaling [22] read,more [13] more,#coliving Top Word Pairs in Tweet in G9:
[31] hi,introduce [31] introduce,groundbreaking [31] groundbreaking,platform [31] platform,play [31] play,#onlinecasino [31] #onlinecasino,using [31] using,#cryptocurrency [31] #cryptocurrency,28 [31] 28,global [31] global,#games Top Word Pairs in Tweet in G10:
[14] spread,word [14] sharing,#love [14] wonderful,sponsors [14] sponsors,housesitting [14] housesitting,supporting [14] supporting,#generationshare [14] #generationshare,helping [13] #changemakers,#socent [13] each,copy [11] #generationshare,spread Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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Top Replied-To in G9:
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:
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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: