The graph represents a network of 353 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 Monday, 09 November 2020 at 21:46 UTC.
The requested start date was Sunday, 08 November 2020 at 01:01 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, 22-hour, 57-minute period from Sunday, 25 October 2020 at 01:17 UTC to Sunday, 08 November 2020 at 00:15 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 : 353
Unique Edges : 234
Edges With Duplicates : 580
Total Edges : 814
Number of Edge Types : 5
Retweet : 186
MentionsInRetweet : 244
Mentions : 169
Tweet : 212
Replies to : 3
Self-Loops : 217
Reciprocated Vertex Pair Ratio : 0.0640243902439024
Reciprocated Edge Ratio : 0.120343839541547
Connected Components : 95
Single-Vertex Connected Components : 47
Maximum Vertices in a Connected Component : 56
Maximum Edges in a Connected Component : 183
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.466645
Graph Density : 0.00280871748647953
Modularity : 0.431393
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 353 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 Monday, 09 November 2020 at 21:46 UTC.
The requested start date was Sunday, 08 November 2020 at 01:01 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, 22-hour, 57-minute period from Sunday, 25 October 2020 at 01:17 UTC to Sunday, 08 November 2020 at 00:15 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:
[64] sharing,economy [64] transportieren,kannst [63] kannst,anschauen [62] anschauen,#transport [62] #mitfahrgelegenheit,#sharingeconomy [62] #sharingeconomy,#spedition [62] #spedition,#kurier [61] #transport,#beiladung [61] #beiladung,#umzug [61] #umzug,#mitfahrgelegenheit Top Word Pairs in Tweet in G1:
[12] sharing,economy [5] #sharingeconomy,#gigeconomy [3] #covid19,#sharingeconomy [3] #trwler,#sharingeconomy [3] #dubai,#collaborativework [2] #uber,#lyft [2] #uber,#sharingeconomy [2] economy,#sharingeconomy [2] milo,yiannopoulos [2] yiannopoulos,ripped Top Word Pairs in Tweet in G2:
[26] #sharingeconomy,#gigeconomy [22] privatisent,notre [22] cyrille,chaudoit [22] chaudoit,cchaudoit [21] notre,dã [21] dã,mocratie [20] esclavitud,digital [20] comment,gafam [20] gafam,privatisent [19] #crypto,#cryptocurrency Top Word Pairs in Tweet in G3:
[13] #generationshare,spread [13] spread,word [13] word,#changemakers [13] #changemakers,saving [13] saving,lives [11] read,#generationshare [11] lives,planet [9] help,ride [9] ride,recession [8] planet,#bigyellowbookofhope Top Word Pairs in Tweet in G4:
[27] use,sharing [27] sharing,economy [27] economy,recession [27] recession,proof [27] proof,finances [23] lyliarose,use [23] finances,#makemoneyfromhome [11] #makemoneyfromhome,#sharingeconom [11] #makemoneyfromhome,#sharingeconomâ [4] finances,#sharingeconomy Top Word Pairs in Tweet in G5:
[15] #smartcity,success [15] success,ppl [15] ppl,centric [15] centric,#egov [15] #egov,bridge [15] bridge,#digitaldivide [15] #digitaldivide,#digitaltransformation [15] #digitaltransformation,edu [15] edu,transparent [15] transparent,#ai Top Word Pairs in Tweet in G6:
[2] sharing,economy Top Word Pairs in Tweet in G7:
[7] canadians,engage [6] engage,sharing [5] having,easy [5] easy,affordable [5] affordable,access [5] access,product [5] product,reduces [5] reduces,need [5] need,millions [5] millions,canadians Top Word Pairs in Tweet in G8:
[16] #scale,sharing [16] sharing,economy [16] economy,#startup [16] #startup,problems [16] problems,faced [16] faced,#startups [12] #startups,#sharingeconomy [12] #sharingeconomy,#scaling [8] jonathanaufray,#scale [6] startgrowthhack,#scale Top Word Pairs in Tweet in G9:
[7] myths,content [7] content,moderation' [7] webinar,series [5] fall,webinar [4] check,latest [4] latest,blog [4] blog,'top [4] 'top,myths [4] moderation',guest [4] guest,ericgoldman Top Word Pairs in Tweet in G10:
[4] read,more [3] flashback,#environmentalweek [3] #environmentalweek,#pã [3] #pã,ijã [3] ijã,thã [3] thã,#greenlahti [3] #greenlahti,environmental [3] environmental,village [3] village,#ympã [3] #ympã,ristã Top Replied-To in Entire Graph:
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: