The graph represents a network of 930 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, 23 February 2020 at 04:00 UTC.
The requested start date was Sunday, 23 February 2020 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 13-day, 5-hour, 34-minute period from Sunday, 09 February 2020 at 03:45 UTC to Saturday, 22 February 2020 at 09:20 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 : 930
Unique Edges : 1050
Edges With Duplicates : 829
Total Edges : 1879
Number of Edge Types : 4
Mentions : 514
MentionsInRetweet : 922
Tweet : 420
Replies to : 23
Self-Loops : 420
Reciprocated Vertex Pair Ratio : 0.0469208211143695
Reciprocated Edge Ratio : 0.0896358543417367
Connected Components : 210
Single-Vertex Connected Components : 87
Maximum Vertices in a Connected Component : 214
Maximum Edges in a Connected Component : 747
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.830105
Graph Density : 0.00123962637591583
Modularity : 0.562476
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 930 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, 23 February 2020 at 04:00 UTC.
The requested start date was Sunday, 23 February 2020 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 13-day, 5-hour, 34-minute period from Sunday, 09 February 2020 at 03:45 UTC to Saturday, 22 February 2020 at 09:20 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:
[156] sharing,economy [127] #crypto,#cryptocurrency [64] #sharingeconomy,#gigeconomy [53] #blockchain,#crypto [52] kannst,anschauen [52] anschauen,#transport [52] #transport,#beiladung [52] #beiladung,#umzug [52] #umzug,#mitfahrgelegenheit [52] #mitfahrgelegenheit,#sharingeconomy Top Word Pairs in Tweet in G1:
[126] #crypto,#cryptocurrency [58] #sharingeconomy,#gigeconomy [52] #blockchain,#crypto [47] god,blockchain [47] blockchain,rebuild [47] rebuild,world [47] world,dios [47] dios,cómo [47] cómo,blockchain [47] blockchain,reconstruirá Top Word Pairs in Tweet in G2:
[15] sharing,economy [5] #startups,#sharingeconomy [4] gig,economy [4] jonathanaufray,#scale [4] #scale,sharing [4] economy,#startup [4] #startup,problems [4] problems,faced [4] faced,#startups [4] #sharingeconomy,#scaling Top Word Pairs in Tweet in G3:
[14] sharing,economy [12] economy,global [12] global,summit [10] iso,tc324 [10] tc324,#sharingeconomy [9] tag,iso [6] brilliant,#todayinfocus [6] #todayinfocus,podcast [6] podcast,lucysiegle [6] lucysiegle,#fastfashion Top Word Pairs in Tweet in G4:
[13] imagine,having [13] having,access [13] access,everyday [13] everyday,items [13] items,gardening [13] gardening,tools [13] tools,camping [13] camping,equipment [13] equipment,food [13] food,dehydrators Top Word Pairs in Tweet in G5:
[39] international,workshop [30] 15th,march [29] 7th,international [29] workshop,sharing [29] sharing,economy [29] march,2020 [19] #call4papers,7th [19] deadline,15th [18] economy,deadline [11] economy,organised Top Word Pairs in Tweet in G6:
[14] marca,tendencia [7] #startup,marca [7] tendencia,#blockchain [7] #blockchain,#inteligenciaartificial [7] #inteligenciaartificial,#bigdata [7] #bigdata,#analytics [7] #analytics,#cryptocurrencies [7] #cryptocurrencies,#openbanking [7] #suppartner,startup [7] startup,marca Top Word Pairs in Tweet in G7:
[9] itccanarias,organizamos [9] organizamos,encuentro [9] encuentro,iniciativas [9] iniciativas,#economíacolaborativa [9] #economíacolaborativa,marco [9] marco,proyecto [8] itccanarias,itccanarias [8] proyecto,shareen_e [6] seek,ideas [5] business,models Top Word Pairs in Tweet in G8:
[8] opening,hours [8] hours,snazzy [8] snazzy,graphic [8] graphic,form [8] form,thanks [8] thanks,studio [8] studio,zo [8] zo,give [8] give,#edinburgh [8] #edinburgh,#leith Top Word Pairs in Tweet in G9:
[16] sharing,#love [16] wonderful,sponsors [16] sponsors,housesitting [16] housesitting,supporting [16] supporting,#generationshare [16] #generationshare,helping [15] spread,word [11] #love,thanks [11] thanks,wonderful [11] #generationshare,spread Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Replied-To in G6:
Top Replied-To in G10:
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 G5:
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Top Tweeters in G9:
Top Tweeters in G10: