The graph represents a network of 951 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, 03 November 2019 at 02:15 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 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, 15-minute period from Sunday, 20 October 2019 at 00:15 UTC to Friday, 01 November 2019 at 15:30 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 : 951
Unique Edges : 1050
Edges With Duplicates : 841
Total Edges : 1891
Number of Edge Types : 3
Mentions : 1456
Tweet : 416
Replies to : 19
Self-Loops : 416
Reciprocated Vertex Pair Ratio : 0.0420841683366733
Reciprocated Edge Ratio : 0.0807692307692308
Connected Components : 240
Single-Vertex Connected Components : 106
Maximum Vertices in a Connected Component : 274
Maximum Edges in a Connected Component : 945
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.861948
Graph Density : 0.00115114284133046
Modularity : 0.54733
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 951 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, 03 November 2019 at 02:15 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 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, 15-minute period from Sunday, 20 October 2019 at 00:15 UTC to Friday, 01 November 2019 at 15:30 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:
[153] #crypto,#cryptocurrency [151] #sharingeconomy,#gigeconomy [110] sharing,economy [78] eraser,blockchain [75] millennials,renting [75] renting,things [75] things,instead [75] instead,owning [75] owning,passing [75] passing,fad Top Word Pairs in Tweet in G1:
[153] #crypto,#cryptocurrency [142] #sharingeconomy,#gigeconomy [78] eraser,blockchain [58] big,data [57] #blockchain,#crypto [50] #digitaltransformation,#emergingtechnologies [49] blockchain,big [49] data,trent [49] trent,mcconaghy [49] mcconaghy,founder Top Word Pairs in Tweet in G2:
[16] sharing,economy [4] #airbnb,#sharingeconomy [4] #sharingeconomy,#apartmentcommunity [4] irsnews,#lopeztaxes [3] learn,more [3] #sharingeconomy,#gigeconomy [3] #noviembre,próximo [3] próximo,mes [3] mes,celebrará [3] celebrará,#valencia Top Word Pairs in Tweet in G3:
[71] millennials,renting [71] renting,things [71] things,instead [71] instead,owning [71] owning,passing [71] passing,fad [71] fad,shift [71] shift,buyer [71] buyer,behavior [71] behavior,#millennials Top Word Pairs in Tweet in G4:
[24] #changemakers,saving [21] spread,word [16] #generationshare,spread [16] word,#changemakers [16] saving,lives [14] sharing,#love [14] wonderful,sponsors [14] sponsors,housesitting [14] housesitting,supporting [14] supporting,#generationshare Top Word Pairs in Tweet in G5:
[11] 7,8 [7] 8,november [7] save,date [6] annual,conference [6] conference,#een19 [6] #een19,holds [6] holds,round [6] round,table [6] table,#sharingeconomy [6] #sharingeconomy,pilot Top Word Pairs in Tweet in G6:
[25] sharing,economy [15] global,summit [14] economy,global [8] researcher,yuliya [8] yuliya,voytenko [8] voytenko,palgan [7] excited,see [7] see,olivia [7] olivia,knight [7] knight,projectpatchwrk Top Word Pairs in Tweet in G7:
[17] read,more [7] more,#sharingeconomy [7] #sharingeconomy,#coliving [7] more,#coliving [7] merci,encore [7] encore,à [7] à,nos [7] nos,partenaires [7] partenaires,#public [7] #public,présents Top Word Pairs in Tweet in G8:
[2] check,out [2] #millennial,millennial [2] millennial,urban [2] urban,lifestyle [2] lifestyle,more [2] more,expensive [2] expensive,wework [2] wework,crashes [2] crashes,uber [2] uber,bleeds Top Word Pairs in Tweet in G9:
[4] great,#reshapingwork2019 [4] #reshapingwork2019,research [4] research,talk [4] talk,jmeijerink [4] jmeijerink,utwente [4] utwente,airbnb [4] airbnb,customers [4] customers,satisfied [4] satisfied,experience [3] gf_corporaal,great Top Word Pairs in Tweet in G10:
[4] launch,handbook [3] handbook,sharing [3] sharing,economy [3] eckhardt,rhul_cris [3] princess,dress [3] dress,being [3] being,shared [3] shared,right [3] right,time [3] time,before Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G8:
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:
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: