The graph represents a network of 35 Twitter users whose tweets in the requested range contained "#hiphopfashion", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 07 December 2019 at 09:11 UTC.
The requested start date was Saturday, 07 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 7.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 6-day, 2-hour, 45-minute period from Saturday, 30 November 2019 at 03:18 UTC to Friday, 06 December 2019 at 06:04 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 : 35
Unique Edges : 27
Edges With Duplicates : 27
Total Edges : 54
Number of Edge Types : 3
Mentions : 18
Replies to : 1
Tweet : 35
Self-Loops : 35
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 18
Single-Vertex Connected Components : 11
Maximum Vertices in a Connected Component : 10
Maximum Edges in a Connected Component : 11
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.37931
Graph Density : 0.0142857142857143
Modularity : 0.413837
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 35 Twitter users whose tweets in the requested range contained "#hiphopfashion", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 07 December 2019 at 09:11 UTC.
The requested start date was Saturday, 07 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 7.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 6-day, 2-hour, 45-minute period from Saturday, 30 November 2019 at 03:18 UTC to Friday, 06 December 2019 at 06:04 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 : #hiphopfashion
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:
[11] go,pockets [11] pockets,tex [11] tex,official [11] official,rx [11] rx,merch [11] merch,#merch [11] #merch,#hiphopfashion [8] #rap,#hiphopfashion [8] wushach,shirt [8] shirt,click Top Word Pairs in Tweet in G1:
[7] #hiphop,#rap [6] coming,gt [6] gt,#riddim [6] #riddim,#dancehallmusic [6] #dancehallmusic,#jamaica [6] #jamaica,#ilovejamaica [6] #ilovejamaica,#hiphop [6] #rap,#hiphopfashion [6] #hiphopfashion,#sound [6] #sound,#soundsystem Top Word Pairs in Tweet in G2:
[8] go,pockets [8] pockets,tex [8] tex,official [8] official,rx [8] rx,merch [8] merch,#merch [8] #merch,#hiphopfashion [7] richpockets,go Top Word Pairs in Tweet in G3:
[2] kidmiddi,#newalbum [2] #newalbum,#2020 [2] #2020,produced [2] produced,tr_ultra [2] tr_ultra,#rap [2] #rap,#hiphopfashion [2] #hiphopfashion,#newyork [2] #newyork,#hiphop [2] #hiphop,#musician [2] #musician,#music Top Word Pairs in Tweet in G4:
[6] japan,cuts [3] went,japan [3] cuts,red [3] red,carpet [3] carpet,hollywood [3] hollywood,japan [3] cuts,のレッドカーペットに行きました [3] のレッドカーペットに行きました,#ヒップホップ [3] #ヒップホップ,#ヒップホップカルチャー [3] #ヒップホップカルチャー,#ヒップホップ音楽 Top Word Pairs in Tweet in G5:
[8] wushach,shirt [8] shirt,click [8] click,order [8] order,gt [8] gt,gt [8] gt,#hiphopclothing [8] #hiphopclothing,#hiphopfashion [8] #hiphopfashion,#rapgod [8] #rapgod,#wutang [7] #wutang,#wutangclan Top Word Pairs in Tweet in G7:
[2] never,lookin [2] lookin,always [2] always,seems [2] seems,find [2] find,luchi [2] luchi,#androgynousstyle [2] #androgynousstyle,#model [2] #model,#lesbian [2] #lesbian,#tomboy [2] #tomboy,#menswear Top Word Pairs in Tweet in G8:
[3] go,pockets [3] pockets,tex [3] tex,official [3] official,rx [3] rx,merch [3] merch,#merch [3] #merch,#hiphopfashion Top Word Pairs in Tweet in G9:
[2] available,#snomanwhite [2] #snomanwhite,#heavyeyewear [2] #heavyeyewear,#flyfriday [2] #flyfriday,#heavyisthebrand [2] #heavyisthebrand,#heavywear [2] #heavywear,#hiphop [2] #hiphop,#hiphopgear Top Replied-To in Entire Graph:
Top Replied-To in G3:
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 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: