The graph represents a network of 765 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, 22 March 2020 at 03:15 UTC.
The requested start date was Sunday, 22 March 2020 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, 13-minute period from Sunday, 08 March 2020 at 01:10 UTC to Friday, 20 March 2020 at 16:24 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 : 765
Unique Edges : 783
Edges With Duplicates : 462
Total Edges : 1245
Number of Edge Types : 4
Mentions : 352
MentionsInRetweet : 611
Tweet : 247
Replies to : 35
Self-Loops : 247
Reciprocated Vertex Pair Ratio : 0.0297542043984476
Reciprocated Edge Ratio : 0.0577889447236181
Connected Components : 152
Single-Vertex Connected Components : 67
Maximum Vertices in a Connected Component : 351
Maximum Edges in a Connected Component : 692
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.61165
Graph Density : 0.00136194093693324
Modularity : 0.615306
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 765 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, 22 March 2020 at 03:15 UTC.
The requested start date was Sunday, 22 March 2020 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, 13-minute period from Sunday, 08 March 2020 at 01:10 UTC to Friday, 20 March 2020 at 16:24 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:
[152] each,person [152] person,follow [152] follow,clickgemp [152] clickgemp,tag [152] tag,friend [152] friend,retweet [152] retweet,pinned [152] pinned,tweet [152] tweet,comment [152] comment,eth Top Word Pairs in Tweet in G1:
[152] each,person [152] person,follow [152] follow,clickgemp [152] clickgemp,tag [152] tag,friend [152] friend,retweet [152] retweet,pinned [152] pinned,tweet [152] tweet,comment [152] comment,eth Top Word Pairs in Tweet in G2:
[62] #crypto,#cryptocurrency [35] #sharingeconomy,#gigeconomy [18] eraser,blockchain [17] #blockchain,#fintech [17] #digitaltransformation,#emergingtechnologies [17] blockchain,technology [16] #blockchain,#crypto [14] big,data [13] tecnología,blockchain [13] #blockchain,#sharingeconomy Top Word Pairs in Tweet in G3:
[41] kannst,anschauen [41] anschauen,#transport [41] #transport,#beiladung [41] #beiladung,#umzug [41] #umzug,#mitfahrgelegenheit [41] #mitfahrgelegenheit,#sharingeconomy [41] #sharingeconomy,#spedition [41] #spedition,#kurier [40] transportieren,kannst [33] beiladung,transportieren Top Word Pairs in Tweet in G4:
[12] please,give [12] give,guests [12] guests,option [12] airbnb,hosts [12] begin,imagine [12] hosts,#sharingeconomy [12] #sharingeconomy,#sharetheburden [11] airbnb,bchesky [11] bchesky,please [11] imagine,detrimental Top Word Pairs in Tweet in G6:
[19] #generationshare,spread [19] spread,word [19] word,#changemakers [19] #changemakers,saving [19] saving,lives [16] benitamatofska,let's [15] read,#generationshare [14] lives,planet [12] help,anyone [12] anyone,isolated Top Word Pairs in Tweet in G7:
[11] clickgemp,stexexchanger [5] good,luck [5] #crypto,#gambling [5] #ai,#sharingeconomy [4] stexexchanger,clickgemp [4] stexexchanger,good [3] #gambling,platform [3] platform,#ai [3] luck,tragiang74 [3] tragiang74,vietduc2018 Top Word Pairs in Tweet in G8:
[8] international,workshop [8] workshop,#sharingeconomy [5] reminder,submission [5] submission,deadline [5] deadline,#iwse2020 [5] #iwse2020,international [5] #sharingeconomy,barcelona [4] experienceetc,reminder [4] barcelona,earl [3] uocecoempresa,gearing Top Word Pairs in Tweet in G9:
[2] #sharingeconomy,players [2] players,more [2] more,resilient [2] resilient,incumbents [2] incumbents,#fintech [2] #fintech,#insurtech [2] #insurtech,#insurance Top Word Pairs in Tweet in G10:
[13] sharing,economy [13] economy,#startup [13] #startup,problems [13] problems,faced [13] faced,#startups [13] #startups,#sharingeconomy [13] #sharingeconomy,#scaling [8] scale,sharing [7] jonathanaufray,scale [7] #scaling,fun Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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: