The graph represents a network of 5,772 Twitter users whose recent tweets contained "forbes", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 23:35 UTC.
The tweets in the network were tweeted over the 1728-day, 3-hour, 44-minute period from Tuesday, 17 April 2018 at 21:15 UTC to Tuesday, 10 January 2023 at 01:00 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.
Author Description
Vertices : 5772
Unique Edges : 3901
Edges With Duplicates : 10419
Total Edges : 14320
Number of Edge Types : 9
Retweet : 2537
MentionsInRetweet : 3536
Replies to : 1526
MentionsInReplyTo : 3969
Tweet : 1340
Mentions : 927
MentionsInQuote : 153
Quote : 201
MentionsInQuoteReply : 131
Self-Loops : 1615
Reciprocated Vertex Pair Ratio : 0.0221997981836529
Reciprocated Edge Ratio : 0.0434353405725568
Connected Components : 1071
Single-Vertex Connected Components : 575
Maximum Vertices in a Connected Component : 3113
Maximum Edges in a Connected Component : 9536
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.646663
Graph Density : 0.000212877660460402
Modularity : 0.469329
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,772 Twitter users whose recent tweets contained "forbes", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 23:35 UTC.
The tweets in the network were tweeted over the 1728-day, 3-hour, 44-minute period from Tuesday, 17 April 2018 at 21:15 UTC to Tuesday, 10 January 2023 at 01:00 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 : TwitterSearch2
Graph Term : forbes
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:
[100] elon,musk [100] ready,one [100] underestimate,determination [100] yall,ready [100] one,forbes [100] #sellzsjltonetflix,underestimate [100] picks,#sellzsjltonetflix [100] forbes,picks [99] determination,motivat [99] snyderqueen_,yall Top Word Pairs in Tweet in G1:
[97] paultassi,forbes [56] last,month [43] outflow,cash [43] month,become [43] binance,worse [43] cash,binance [43] zhao,indicated [43] indicated,last [43] chanpeng,zhao [43] ceo,chanpeng Top Word Pairs in Tweet in G2:
[58] forbes,japan [26] forbes,road [17] high,school [15] hancock,vs [15] vs,forbes [15] moment,change [15] 2023,forbes [14] 12,billion [13] 従業員のポテンシャルを引き出す方法,働き方の [13] change,latin Top Word Pairs in Tweet in G3:
[30] pgzombies,vamos [30] dice,lopezobrador_ [30] lopezobrador_,pgzombies [30] vamos,rebien [29] manuelvegamx,dice [10] huffpost,forbes [10] emmanuelmacron,vonderleyen [8] usatoday,nbcnews [7] bbcbreaking,bbcworld [6] foxnews,vanityfair Top Word Pairs in Tweet in G4:
[99] #sellzsjltonetflix,underestimate [99] forbes,picks [99] ready,one [99] underestimate,determination [99] one,forbes [99] picks,#sellzsjltonetflix [99] yall,ready [98] snyderqueen_,yall [98] determination,motivat [75] #sellzsjltonetflix,#sellsnyderversetonetflix Top Word Pairs in Tweet in G5:
[93] elon,musk [92] history,lately [92] shaping,narrative [92] lately,especially [92] particularly,sensitive [92] narrative,history [92] family,seem [92] musk,family [92] sensitive,shaping [92] seem,particularly Top Word Pairs in Tweet in G6:
[21] 12,billion [20] billion,gone [20] 60,days [20] bleeding,assets [20] gone,less [20] assets,12 [20] less,60 [19] binance,bleeding [19] forbes,crypto [18] drop,hello Top Word Pairs in Tweet in G7:
[14] alca88,joebiden [12] forbes_mexico,alca88 [12] flotus,beatrizgmuller [10] first,100 [10] away,guaranteed [10] guaranteed,wl [10] wl,first [10] give,away [10] article,presale [10] forbes_mexico,article Top Word Pairs in Tweet in G8:
[51] regulation,enforcement [40] sec,failed [40] policy,regulation [40] destructive,policy [40] hide,sec [40] failed,destructive [40] workarounds,hide [39] #cryptonews,#xrp [39] enforcement,#cryptonews [38] roslynlayton,workarounds Top Word Pairs in Tweet in G9:
[53] 14,ranked [50] top,10 [48] ranked,forbes [44] timothée,chalamet [43] christopher,briny [43] chalamet,christopher [42] boys,generation [42] generation,14 [42] briny,boys [41] 14,selected Top Word Pairs in Tweet in G10:
[15] #bigdata,#analytics [15] #blockchain,#tech [15] #tech,#data [15] #ml,#artificialintelligence [15] #artificialintelligence,#machinelearning [15] #analytics,#blockchain [15] #machinelearning,#datascience [15] #datascience,#bigdata [15] #ai,#ml [15] #data,nicochan33 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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 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: