The graph represents a network of 866 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, 16 February 2020 at 04:00 UTC.
The requested start date was Sunday, 16 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, 7-hour, 33-minute period from Sunday, 02 February 2020 at 02:11 UTC to Saturday, 15 February 2020 at 09:44 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 : 866
Unique Edges : 1031
Edges With Duplicates : 1184
Total Edges : 2215
Number of Edge Types : 4
Mentions : 676
MentionsInRetweet : 1095
Tweet : 425
Replies to : 19
Self-Loops : 425
Reciprocated Vertex Pair Ratio : 0.0761812921890068
Reciprocated Edge Ratio : 0.1415770609319
Connected Components : 189
Single-Vertex Connected Components : 85
Maximum Vertices in a Connected Component : 387
Maximum Edges in a Connected Component : 1602
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.462633
Graph Density : 0.00148980763326169
Modularity : 0.469125
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 866 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, 16 February 2020 at 04:00 UTC.
The requested start date was Sunday, 16 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, 7-hour, 33-minute period from Sunday, 02 February 2020 at 02:11 UTC to Saturday, 15 February 2020 at 09:44 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:
[223] sharing,economy [158] #crypto,#cryptocurrency [83] #sharingeconomy,#gigeconomy [81] global,summit [51] economy,global [50] #sharingeconomy,#fintech [48] #blockchain,#crypto [48] #sharingeconomy,#blockchain [48] kannst,anschauen [48] anschauen,#transport Top Word Pairs in Tweet in G1:
[158] #crypto,#cryptocurrency [62] #sharingeconomy,#gigeconomy [48] #blockchain,#crypto [47] #sharingeconomy,#blockchain [47] #cryptocurrency,#sharingeconomy [45] digital,identity [44] didi,identidad [44] identidad,digital [42] #ai,#ia [41] #sharingeconomy,#fintech Top Word Pairs in Tweet in G2:
[89] sharing,economy [75] global,summit [48] economy,global [31] #sharingeconomy,global [22] marketplacerisk,#sharingeconomy [18] 2020,sharing [18] #sharingeconomy,platforms [16] #sharingeconomy,summit [16] shareconuk,great [16] #sharingeconomy,#gigeconomy Top Word Pairs in Tweet in G3:
[48] kannst,anschauen [48] anschauen,#transport [48] #transport,#beiladung [48] #beiladung,#umzug [48] #umzug,#mitfahrgelegenheit [48] #mitfahrgelegenheit,#sharingeconomy [48] #sharingeconomy,#spedition [48] #spedition,#kurier [46] transportieren,kannst [44] beiladung,transportieren Top Word Pairs in Tweet in G4:
[13] airbnb,uber [13] uber,lendingclub [13] lendingclub,still [13] still,waiting [13] waiting,#sharingeconomy [13] #sharingeconomy,disruptionðÿ [12] albertogaruccio,airbnb [11] disruptionðÿ,#fintecâ [9] #thoughtfulthursday,designing [9] designing,trust Top Word Pairs in Tweet in G5:
[10] marca,tendencia [7] #startup,marca [7] tendencia,#blockchain [7] #blockchain,#inteligenciaartificial [7] #inteligenciaartificial,#bigdata [7] #bigdata,#analytics [7] #analytics,#cryptocurrencies [7] #cryptocurrencies,#openbanking [5] finnovista,#startup [3] #suppartner,startup Top Word Pairs in Tweet in G6:
[36] international,workshop [28] 15th,march [28] 7th,international [28] workshop,sharing [28] sharing,economy [27] economy,deadline [27] march,2020 [22] call,papers [22] papers,7th [22] deadline,submission Top Word Pairs in Tweet in G8:
[19] sharing,#love [19] wonderful,sponsors [19] sponsors,housesitting [19] housesitting,supporting [19] supporting,#generationshare [19] #generationshare,helping [18] spread,word [14] #generationshare,spread [14] word,#changemakers [14] #changemakers,saving Top Word Pairs in Tweet in G9:
[12] six,things [12] things,taxpayers [12] taxpayers,know [12] know,#sharingeconomy [12] #sharingeconomy,taxes [12] taxes,#irs [6] irsnews,six [5] tax,center [5] #irs,tax [4] sharing,economy Top Word Pairs in Tweet in G10:
[4] context,means [4] means,uber [4] uber,lost [4] lost,more [4] more,wework [4] wework,worth [4] worth,2019 [4] 2019,agriswold's [4] agriswold's,oversharing [4] oversharing,newsletter Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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:
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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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: