The graph represents a network of 1,963 Twitter users whose recent tweets contained "cryptocurrency money laundering", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 2,000 tweets, tweeted between 9/4/2022 5:23:36 PM and 9/4/2023 5:23:36 PM. The network was obtained from Twitter on Wednesday, 13 September 2023 at 12:38 UTC.
The tweets in the network were tweeted over the 268-day, 6-hour, 21-minute period from Monday, 19 December 2022 at 13:17 UTC to Wednesday, 13 September 2023 at 19:38 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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.
Vertices : 1963
Unique Edges : 1635
Edges With Duplicates : 641
Total Edges : 2276
Self-Loops : 1650
Reciprocated Vertex Pair Ratio : 0.00170648464163823
Reciprocated Edge Ratio : 0.00340715502555366
Connected Components : 1392
Single-Vertex Connected Components : 1172
Maximum Vertices in a Connected Component : 51
Maximum Edges in a Connected Component : 73
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.657305
Graph Density : 0.000152411872443466
Modularity : 0.528857
NodeXL Version : 1.0.1.521
Data Import : The graph represents a network of 1,963 Twitter users whose recent tweets contained "cryptocurrency money laundering", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 2,000 tweets, tweeted between 9/4/2022 5:23:36 PM and 9/4/2023 5:23:36 PM. The network was obtained from Twitter on Wednesday, 13 September 2023 at 12:38 UTC.
The tweets in the network were tweeted over the 268-day, 6-hour, 21-minute period from Monday, 19 December 2022 at 13:17 UTC to Wednesday, 13 September 2023 at 19:38 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : cryptocurrency money laundering
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2092] money,laundering [469] anti,money [141] cryptocurrency,exchange [123] cryptocurrency,money [111] cryptocurrency,transactions [107] laundering,rules [104] u,s [92] cryptocurrency,exchanges [86] laundering,aml [85] fraud,money Top Word Pairs in Tweet in G1:
[34] money,laundering [5] cryptocurrency,exchange [5] #ransomware,actors [4] websites,facilitated [4] exchange,websites [4] anti,money [4] ukrainian,police [4] laundering,scammers [4] tornado,cash [4] facilitated,money Top Word Pairs in Tweet in G2:
[22] money,laundering [4] bitvalentine,#cryptonews [4] anti,money [4] amp,follow [4] share,amp [4] follow,bitvalentine [4] #crypto,#cryptocurrency [4] #cryptonews,#crypto [4] please,share [3] cryptocurrency,industry Top Word Pairs in Tweet in G3:
[35] money,laundering [28] cryptocurrency,money [6] coinbase,cryptocurrency [5] baddcompani,cryptocurrency [2] vailshirecap,cryptocurrency [2] cryptocurrency,exchanges [2] watcherguru,cryptocurrency [2] don,t Top Word Pairs in Tweet in G4:
[27] money,laundering [6] takes,money [6] adding,speculative [6] being,create [6] economic,growth [6] growth,adding [6] degradation,great [6] cryptocurrency,wasteful [6] allow,money [6] inequality,allow Top Word Pairs in Tweet in G5:
[15] transaction,money [15] cryptocurrency,transaction [15] bitboy_crypto,fact [15] nothing,certain [15] fact,entire [15] entire,cryptocurrency [15] laundering,nothing [15] certain,country [15] money,laundering Top Word Pairs in Tweet in G6:
[6] activities,money [6] true,anonymity [6] exchanges,potential [6] increasing,regulatory [6] potential,risks [6] users,offering [6] given,increasing [6] anonymity,users [6] facilitating,illicit [6] offering,anonymous Top Word Pairs in Tweet in G7:
[3] activities,money [3] true,anonymity [3] exchanges,potential [3] increasing,regulatory [3] potential,risks [3] users,offering [3] given,increasing [3] anonymity,users [3] offering,anonymous [3] topcredit,ensure Top Word Pairs in Tweet in G8:
[11] money,laundering [6] laundering,cryptocurrency [3] cryptocurrency,dirty [3] criminal,charges [3] nancy,pelosi [3] cryptocurrency,laundering [3] dirty,money [2] food,prices [2] democrats,evil [2] evil,schemes Top Word Pairs in Tweet in G9:
[7] money,laundering [2] laundering,illegal [2] illegal,activities [2] cryptocurrency,exchanges Top Word Pairs in Tweet in G10:
[2] money,laundering Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: