The graph represents a network of 942 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, 15 March 2020 at 02:19 UTC.
The requested start date was Sunday, 15 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 13-day, 9-hour, 5-minute period from Sunday, 01 March 2020 at 00:55 UTC to Saturday, 14 March 2020 at 10:00 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 : 942
Unique Edges : 1042
Edges With Duplicates : 720
Total Edges : 1762
Number of Edge Types : 4
MentionsInRetweet : 923
Tweet : 333
Mentions : 484
Replies to : 22
Self-Loops : 333
Reciprocated Vertex Pair Ratio : 0.0362035225048924
Reciprocated Edge Ratio : 0.0698772426817753
Connected Components : 179
Single-Vertex Connected Components : 89
Maximum Vertices in a Connected Component : 306
Maximum Edges in a Connected Component : 941
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.438244
Graph Density : 0.00119469056499049
Modularity : 0.582237
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 942 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, 15 March 2020 at 02:19 UTC.
The requested start date was Sunday, 15 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 13-day, 9-hour, 5-minute period from Sunday, 01 March 2020 at 00:55 UTC to Saturday, 14 March 2020 at 10:00 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:
[115] #crypto,#cryptocurrency [69] #sharingeconomy,#gigeconomy [39] #blockchain,#crypto [39] eraser,blockchain [24] #blockchain,#fintech [24] sharing,economy [23] #digitaltransformation,#emergingtechnologies [22] #cryptocurrency,#sharingeconomy [22] blockchain,technology [22] start,gacela Top Word Pairs in Tweet in G3:
[38] kannst,anschauen [38] anschauen,#transport [38] #transport,#beiladung [38] #beiladung,#umzug [38] #umzug,#mitfahrgelegenheit [38] #mitfahrgelegenheit,#sharingeconomy [38] #sharingeconomy,#spedition [38] #spedition,#kurier [37] transportieren,kannst [31] beiladung,transportieren Top Word Pairs in Tweet in G4:
[6] œin,context [6] context,communicable [6] communicable,disease [6] disease,sharing [6] sharing,moniker [6] moniker,seems [6] seems,relevant [6] relevant,happens [6] happens,many [6] many,expect Top Word Pairs in Tweet in G5:
[2] birdride,ridekcbike Top Word Pairs in Tweet in G6:
[7] sharing,economy [6] austin,texas [6] economy,uk [6] synthetic,identity [6] identity,attack [6] attack,landscape [5] wrote,cityam [5] cityam,week [5] week,nowâ [5] nowâ,time Top Word Pairs in Tweet in G7:
[27] international,workshop [19] sharing,economy [18] 7th,international [14] workshop,sharing [12] workshop,#sharingeconomy [9] 15th,march [8] call,papers [8] papers,7th [8] economy,deadline [8] deadline,submission Top Word Pairs in Tweet in G8:
[9] always,looking [9] looking,freelance [9] freelance,writers [9] writers,editors [9] editors,shareable [9] shareable,#freelance [9] #freelance,#sharingeconomy [9] #sharingeconomy,#sharing [9] #sharing,#freelancer [5] shareable,always Top Word Pairs in Tweet in G9:
[10] dallâ,#openspace [10] #openspace,#multispace [10] #multispace,dallâ [10] dallâ,possesso [10] possesso,personale [10] personale,allâ [10] allâ,condivisione [10] condivisione,aperta [10] aperta,risorse [10] risorse,strumenti Top Word Pairs in Tweet in G10:
[17] spread,word [15] #generationshare,spread [15] word,#changemakers [15] #changemakers,saving [15] saving,lives [13] sharing,#love [13] wonderful,sponsors [13] sponsors,housesitting [13] housesitting,supporting [13] supporting,#generationshare Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: