The graph represents a network of 448 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, 25 October 2020 at 20:46 UTC.
The requested start date was Sunday, 25 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 18-hour, 58-minute period from Sunday, 11 October 2020 at 05:00 UTC to Saturday, 24 October 2020 at 23:58 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 : 448
Unique Edges : 367
Edges With Duplicates : 762
Total Edges : 1129
Number of Edge Types : 5
Mentions : 188
Retweet : 257
MentionsInRetweet : 442
Tweet : 238
Replies to : 4
Self-Loops : 243
Reciprocated Vertex Pair Ratio : 0.0513347022587269
Reciprocated Edge Ratio : 0.09765625
Connected Components : 131
Single-Vertex Connected Components : 60
Maximum Vertices in a Connected Component : 56
Maximum Edges in a Connected Component : 268
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 1.94374
Graph Density : 0.00255672738894215
Modularity : 0.455326
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 448 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, 25 October 2020 at 20:46 UTC.
The requested start date was Sunday, 25 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 18-hour, 58-minute period from Sunday, 11 October 2020 at 05:00 UTC to Saturday, 24 October 2020 at 23:58 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:
[62] transportieren,kannst [62] kannst,anschauen [61] beiladung,transportieren [60] anschauen,#transport [60] #mitfahrgelegenheit,#sharingeconomy [60] #sharingeconomy,#spedition [60] #spedition,#kurier [59] #transport,#beiladung [59] #beiladung,#umzug [59] #umzug,#mitfahrgelegenheit Top Word Pairs in Tweet in G1:
[16] sharing,economy [6] necklace,#straykids_sharingeconomy [5] #sharingeconomy,#gigeconomy [4] economy,#sharingeconomy [4] #wastereductionweek,#sharingeconomy [3] #sharingeconomy,#economy [3] #sharingeconomy,#tech [3] louis,vuitton [2] #wienwahl2020â,#funfact [2] #funfact,#wahlfakt Top Word Pairs in Tweet in G2:
[36] eraser,#t5es [32] #t5es,emergencia [32] emergencia,esclavitud [32] esclavitud,digital [32] eraser,#bdt [30] #bdt,#blockchain [30] #blockchain,#digitaltransformation [25] #crypto,#cryptocurrency [22] building,quantum [22] quantum,resistant Top Word Pairs in Tweet in G3:
[31] predictions,2030 [31] 2030,#ai [31] #ai,#ml [31] #ml,wef [31] wef,ipfconline1 [31] ipfconline1,jblefevre60 [31] jblefevre60,#sustainable [31] #sustainable,#tech [31] #tech,#3dprinting [31] #3dprinting,#drones Top Word Pairs in Tweet in G4:
[9] hey,#toronto [8] #toronto,#wastereductionweek [8] #wastereductionweek,canada [8] canada,today's [8] today's,theme [8] theme,#circulareconomy [8] #circulareconomy,consider [8] consider,asking [8] asking,fave [7] 0wasteto,hey Top Word Pairs in Tweet in G5:
[5] circular,economy [4] innovative,#circulareconomy [4] #circulareconomy,services [4] services,essential [4] essential,circular [4] economy,transition [4] transition,interesting [4] interesting,insights [3] reduce,waste [3] waste,avoid Top Word Pairs in Tweet in G6:
[10] today,register [10] register,session [10] session,expert [10] expert,team [10] team,lexisnexisrisk [10] lexisnexisrisk,10am [10] 10am,pt [10] pt,featuring [10] featuring,parul [10] parul,sharma Top Word Pairs in Tweet in G7:
[7] tomorrow,1pm [6] 1pm,next [6] next,#fotamuk [6] #fotamuk,series [6] series,#sharedinfrastructures [6] #sharedinfrastructures,envisaging [6] envisaging,#sharingeconomy [5] creativeutduk,tomorrow [2] redefining,value [2] value,art Top Word Pairs in Tweet in G8:
[3] join,ruckify [3] ruckify,mobileloaves [3] mobileloaves,next [3] next,weekend [3] weekend,outside [3] outside,support [3] support,great [3] great,cause [3] cause,here's [3] here's,involved Top Word Pairs in Tweet in G9:
[4] #sharingeconomy,#wastereductionweek [3] having,easy [3] easy,affordable [3] affordable,access [3] reduces,need [3] canadians,engage [3] engage,sharing [3] engage,#sharingeconomy [3] theme,#sharingeconomy [2] ownership,overrated Top Word Pairs in Tweet in G10:
[14] closed,leave [14] leave,work [7] saloons,closed [7] work,closed [7] work,finally [7] finally,found [7] found,solution [6] sheshagiri_pk,saloons [6] solution,urbanc Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G8:
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: