The graph represents a network of 3 931 Twitter users whose recent tweets contained "ebike", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Friday, 20 November 2020 at 23:53 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 50-minute period from Wednesday, 11 November 2020 at 23:32 UTC to Friday, 20 November 2020 at 23:22 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 : 3931
Unique Edges : 5743
Edges With Duplicates : 1807
Total Edges : 7550
Number of Edge Types : 5
Tweet : 1665
Mentions : 1253
MentionsInRetweet : 2385
Retweet : 1457
Replies to : 790
Self-Loops : 1689
Reciprocated Vertex Pair Ratio : 0,0323719835197175
Reciprocated Edge Ratio : 0,0627137970353478
Connected Components : 1209
Single-Vertex Connected Components : 664
Maximum Vertices in a Connected Component : 1003
Maximum Edges in a Connected Component : 3932
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6,211339
Graph Density : 0,000340608317911454
Modularity : 0,663669
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 3 931 Twitter users whose recent tweets contained "ebike", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Friday, 20 November 2020 at 23:53 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 50-minute period from Wednesday, 11 November 2020 at 23:32 UTC to Friday, 20 November 2020 at 23:22 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 : TwitterSearch
Graph Term : ebike
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:
[190] shared,ebike [157] auf,dem [154] bitte,teilen [154] teilen,mein [154] ebike,wurde [154] heute,nacht [152] mein,nagelneues [152] nagelneues,heißgeliebtes [152] heißgeliebtes,ebike [152] wurde,heute Top Word Pairs in Tweet in G1:
[56] electric,bike [26] 家電,watch [23] electric,bicycle [20] harley,davidson [20] bike試乗レビュー,家電 [18] #bike,#ebike [17] ng,ebike [16] fat,tire [15] #eバイク,#ebikeadventures [15] published,electric Top Word Pairs in Tweet in G2:
[94] #ebike,#electricbike [90] #ebike,#ebikes [50] #embn,#ebike [50] #ebike,#ebiking [50] #ebiking,#ebikes [50] #ebikes,#emtb [50] #cycling,#bikelife [49] #mountainbike,#mountainbiking [48] #emtb,#cycling [48] #bikelife,#mountainbike Top Word Pairs in Tweet in G3:
[189] shared,ebike [110] autonomous,shared [110] ebike,represents [110] represents,future [110] future,mobility [110] mobility,#ai [110] #ai,#machinelearning [110] #machinelearning,#iot [110] #iot,#smartcity [110] #smartcity,startupselfieco Top Word Pairs in Tweet in G4:
[154] bitte,teilen [154] teilen,mein [154] ebike,wurde [152] mein,nagelneues [152] nagelneues,heißgeliebtes [152] heißgeliebtes,ebike [152] wurde,heute [152] heute,nacht [152] nacht,aus [152] aus,dem Top Word Pairs in Tweet in G5:
[14] fake,news [10] boko,haram [8] police,brutality [8] social,media [8] god,jesus [8] cnn,investigation [8] #endsars,protesters [6] better,time [6] nigerian,army [6] toll,gate Top Word Pairs in Tweet in G6:
[12] loan,program [9] ikea,launching [9] launching,ebike [9] ebike,deliveries [9] deliveries,europe [9] precious,time [9] time,50 [9] 50,discount [9] discount,sale [9] sale,1100 Top Word Pairs in Tweet in G7:
[5] #ebike,scheme [3] thebigissue,teams [3] teams,sharebike [3] sharebike,launch [3] launch,#ebike [3] retailer,growing [3] growing,#ebike [3] #ebike,#escooter [3] #escooter,servicers [3] servicers,stores Top Word Pairs in Tweet in G8:
[11] #arielriderebike,#ebike [9] irish,business [9] business,selling [9] selling,ebikes [9] ebikes,ireland [9] ireland,launched [9] launched,zip [9] zip,ebikes [9] ebikes,stock [9] stock,dublin Top Word Pairs in Tweet in G9:
[49] peak,power [48] tesla,model [48] model,peak [48] power,ranging [48] ranging,225 [48] 225,360 [48] 360,kilowatt [48] kilowatt,ebike [48] ebike,scooter [48] scooter,runs Top Word Pairs in Tweet in G10:
[10] #ebike,upgrade [10] upgrade,kit [8] ukipo,patent [8] patent,approved [7] innovation,development [7] development,team [7] team,produced [7] produced,efficient [7] efficient,#ebike [7] kit,form Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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:
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: