The graph represents a network of 1,062 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, 10 November 2019 at 03:15 UTC.
The requested start date was Sunday, 10 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 13-day, 15-hour, 24-minute period from Sunday, 27 October 2019 at 01:09 UTC to Saturday, 09 November 2019 at 16:34 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 : 1062
Unique Edges : 1242
Edges With Duplicates : 1118
Total Edges : 2360
Number of Edge Types : 3
Mentions : 1828
Tweet : 509
Replies to : 23
Self-Loops : 509
Reciprocated Vertex Pair Ratio : 0.0461665292662819
Reciprocated Edge Ratio : 0.0882584712371946
Connected Components : 240
Single-Vertex Connected Components : 115
Maximum Vertices in a Connected Component : 475
Maximum Edges in a Connected Component : 1509
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.165685
Graph Density : 0.0011262160737392
Modularity : 0.520827
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,062 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, 10 November 2019 at 03:15 UTC.
The requested start date was Sunday, 10 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 13-day, 15-hour, 24-minute period from Sunday, 27 October 2019 at 01:09 UTC to Saturday, 09 November 2019 at 16:34 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[194] #crypto,#cryptocurrency [170] #sharingeconomy,#gigeconomy [157] sharing,economy [102] eraser,blockchain [85] à,à [68] #digitaltransformation,#emergingtechnologies [66] big,data [64] #blockchain,#crypto [61] #cryptocurrency,#criptomonedas [61] trent,mcconaghy Top Word Pairs in Tweet in G1:
[194] #crypto,#cryptocurrency [161] #sharingeconomy,#gigeconomy [100] eraser,blockchain [68] #digitaltransformation,#emergingtechnologies [65] big,data [64] #blockchain,#crypto [61] #cryptocurrency,#criptomonedas [60] trent,mcconaghy [60] mcconaghy,founder [60] founder,cto Top Word Pairs in Tweet in G2:
[29] sharing,economy [14] ì,ì [12] ë,ì [10] ã,ã [8] ì,ë [7] irsnews,#lopeztaxes [6] ë,ë [6] ê,ì [5] ì,ê [4] #airbnb,#sharingeconomy Top Word Pairs in Tweet in G3:
[22] sharing,economy [15] global,summit [14] economy,global [7] excited,see [7] see,olivia [7] olivia,knight [7] knight,projectpatchwrk [7] projectpatchwrk,chair [7] chair,shareconuk [7] shareconuk,lucie Top Word Pairs in Tweet in G4:
[49] 10,#tech [49] #tech,#innovations [49] #innovations,changed [49] changed,modern [49] modern,world [49] world,emails [49] emails,mobile [49] mobile,phones [49] phones,web [49] web,pages Top Word Pairs in Tweet in G5:
[54] millennials,renting [54] renting,things [54] things,instead [54] instead,owning [54] owning,passing [54] passing,fad [54] fad,shift [54] shift,buyer [54] buyer,behavior [49] behavior,#millennials Top Word Pairs in Tweet in G6:
[17] sharing,#love [17] wonderful,sponsors [17] sponsors,housesitting [17] housesitting,supporting [17] supporting,#generationshare [17] #generationshare,helping [16] spread,word [13] #changemakers,#socent [13] #generationshare,published [12] #love,thanks Top Word Pairs in Tweet in G7:
[19] sharing,economy [13] #leaders,#urbanmobility [13] #urbanmobility,regional [13] regional,global [13] global,bcg [13] bcg,#leadership [13] #leadership,#esg [13] #esg,#ai [13] #ai,#biz [12] noikeanolife,#leaders Top Word Pairs in Tweet in G8:
[18] insightful,#sharingeconomy [18] #sharingeconomy,comprehensive [18] comprehensive,#businessmodel [18] #businessmodel,#framework [18] #framework,#fintech [18] #fintech,#platforms [18] #platforms,#ecommerce [18] #ecommerce,sallyeaves [17] andi_staub,insightful [17] sallyeaves,t Top Word Pairs in Tweet in G9:
[9] 7,8 [7] #shareway2event,#eencanhelp [7] dedicato,fenomeno [7] fenomeno,della [7] della,#sharingeconomy [6] â,toma [6] toma,palabra [6] palabra,â [6] â,itccanariasâ [6] itccanariasâ,presentar Top Word Pairs in Tweet in G10:
[10] 11,60 [10] 60,share [10] share,wework [10] wework,investors [10] investors,2014 [10] 2014,series [10] series,d [10] d,later [10] later,red [10] red,#ipo Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: