The graph represents a network of 20,946 Twitter users whose recent tweets contained "#BLM", 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 Tuesday, 09 June 2020 at 14:20 UTC.
The tweets in the network were tweeted over the 2-hour, 7-minute period from Tuesday, 09 June 2020 at 11:57 UTC to Tuesday, 09 June 2020 at 14:05 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 : 20946
Unique Edges : 23447
Edges With Duplicates : 1733
Total Edges : 25180
Number of Edge Types : 5
Tweet : 3571
Retweet : 13940
Replies to : 1694
Mentions : 3141
MentionsInRetweet : 2834
Self-Loops : 3686
Reciprocated Vertex Pair Ratio : 0.00519680492734097
Reciprocated Edge Ratio : 0.0103398755385352
Connected Components : 3766
Single-Vertex Connected Components : 1808
Maximum Vertices in a Connected Component : 12105
Maximum Edges in a Connected Component : 15134
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 7.430373
Graph Density : 4.76164458587904E-05
Modularity : 0.844398
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 20,946 Twitter users whose recent tweets contained "#BLM", 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 Tuesday, 09 June 2020 at 14:20 UTC.
The tweets in the network were tweeted over the 2-hour, 7-minute period from Tuesday, 09 June 2020 at 11:57 UTC to Tuesday, 09 June 2020 at 14:05 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 : #BLM
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 G2:
[3613] #blm,#blacklivesmatter [3613] #blacklivesmatter,#blm [3613] lives,matter [3] black,lives [3] #blm,movement [3] black,people [3] #blm,protests [3] #blm,#blmprotest [3] support,#blm [3] white,people Top Word Pairs in Tweet in G3:
[207] #antifa,#blm [158] lives,matter [88] riot,burn [77] democratic,party [34] party,spent [27] spent,20m [26] 20m,oust [24] oust,realdonaldtrump [23] realdonaldtrump,odds [22] odds,funded Top Word Pairs in Tweet in G4:
[138] something,superficial [117] superficial,race [106] shame,someone [105] someone,solely [105] solely,based [105] based,something [105] race,surprised [105] surprised,many [105] many,take [105] take,pride Top Word Pairs in Tweet in G5:
[1432] mayors,doing [1432] doing,cupid [716] cupid,shuffle [716] shuffle,hugging [716] hugging,black [716] black,kids [716] kids,congress [716] congress,kente [716] kente,massive [716] massive,#blm Top Word Pairs in Tweet in G6:
[608] black,neighborhood [608] #blm,looted [608] looted,burned [608] burned,down [608] neighborhood,gas [608] gas,station [608] station,manger [608] manger,black [608] black,name [608] name,william Top Word Pairs in Tweet in G7:
[476] find,contact [476] contact,info [476] info,elected [476] elected,officials [468] officials,#blm [468] #blm,#defundthepolice [468] #blacklivesmatter,#blm [468] #blm,#nojusticenopeace [468] #nojusticenopeace,#blacktranslivesmatter [468] #blacktranslivesmatter,#tonymcdade Top Word Pairs in Tweet in G8:
[508] correct,#blm [508] #blm,misunderstood [508] misunderstood,lives [508] lives,mattering [508] mattering,#systematicchangingofamerica [508] #systematicchangingofamerica,#socialist [12] #socialist,country [12] country,#refugeesmyass [10] #refugeesmyass,antifa [10] antifa,supporter Top Word Pairs in Tweet in G9:
[172] distressing,elderly [172] elderly,white [172] white,couple [172] couple,brutally [172] brutally,attacked [172] attacked,black [172] black,gang [172] gang,white [172] white,gentleman [172] gentleman,burned Top Word Pairs in Tweet in G10:
[301] please,sign [301] remember,name [301] name,shukri [301] shukri,abdi [301] abdi,12 [301] 12,year [301] year,old [301] old,somali [301] somali,refugee [301] refugee,drowned Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: