The graph represents a network of 15,461 Twitter users whose recent tweets contained "#TeamSeas", 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, 05 November 2021 at 00:38 UTC.
The tweets in the network were tweeted over the 2-day, 8-hour, 17-minute period from Tuesday, 02 November 2021 at 15:43 UTC to Friday, 05 November 2021 at 00:00 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 : 15461
Unique Edges : 37624
Edges With Duplicates : 6457
Total Edges : 44081
Number of Edge Types : 5
Retweet : 14775
MentionsInRetweet : 22497
Mentions : 3312
Replies to : 1986
Tweet : 1511
Self-Loops : 1618
Reciprocated Vertex Pair Ratio : 0.00240073868882733
Reciprocated Edge Ratio : 0.00478997789240973
Connected Components : 728
Single-Vertex Connected Components : 546
Maximum Vertices in a Connected Component : 14356
Maximum Edges in a Connected Component : 42993
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.827056
Graph Density : 0.000158961081644898
Modularity : 0.487102
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 15,461 Twitter users whose recent tweets contained "#TeamSeas", 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, 05 November 2021 at 00:38 UTC.
The tweets in the network were tweeted over the 2-day, 8-hour, 17-minute period from Tuesday, 02 November 2021 at 15:43 UTC to Friday, 05 November 2021 at 00:00 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 : #TeamSeas
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:
[7041] #dogsofelon,#teamseas [6993] already,donated [6973] dogs,elon [6969] elon,nft [6967] donated,teamseas [6963] target,1m [6959] 1m,already [6959] donated,125k [6959] 125k,join [6959] join,airdrop Top Word Pairs in Tweet in G1:
[6889] #dogsofelon,#teamseas [6883] dogs,elon [6882] elon,nft [6881] donated,teamseas [6880] join,600k [6880] 600k,dogs [6880] nft,airdrop [6880] airdrop,partnership [6880] partnership,coinmarketcap [6880] coinmarketcap,each Top Word Pairs in Tweet in G2:
[1498] go,go [1494] mrbeast,markrober [910] go,#teamseas [842] trash,ocean [815] markrober,teamseas [751] 500,000 [749] ok,let's [749] let's,patreon [749] patreon,match [749] match,next Top Word Pairs in Tweet in G3:
[23] donate,#teamseas [18] go,#teamseas [12] help,clean [12] donated,#teamseas [11] mr,beast [10] support,#teamseas [10] pound,trash [9] pounds,trash [9] #teamseas,#mrbeast [9] rivers,oceans Top Word Pairs in Tweet in G4:
[313] day,126 [313] 126,ddt [313] ddt,help [313] help,clean [313] clean,ocean [313] ocean,#dreamfanart [313] #dreamfanart,#teamseas [36] clean,oceans [18] dream,smp [18] smp,hosting Top Word Pairs in Tweet in G5:
[168] #teamseas,youtube [86] robot,eats [86] eats,trash [86] trash,#teamseas [22] world,dirtiest [21] cleaned,world [21] dirtiest,beach [21] beach,#teamseas [16] robot,come [16] come,basura Top Word Pairs in Tweet in G6:
[225] #teamseas,video [215] hey,teamyoutube [215] teamyoutube,retweets [215] retweets,please [215] please,recieved [215] recieved,false [215] false,strike [215] strike,#teamseas [215] video,appeal [215] appeal,falsely Top Word Pairs in Tweet in G7:
[232] go,#teamseas [3] #teamseas,help [3] help,mrbeast [3] mrbeast,donating [3] donating,movement [3] movement,10 [3] 10,pounds [3] pounds,trash [3] trash,removed [3] removed,oceans Top Word Pairs in Tweet in G8:
[94] #teamtrees,#teamseas [94] #teamseas,don [94] don,chump [94] chump,woke [94] woke,brudda [84] save,planet [83] brudda,save [55] donate,billion [54] billion,#teamtrees [25] million,#teamtrees Top Word Pairs in Tweet in G9:
[156] #dailycleanoceangiveaway,draw [156] draw,tonight [156] random,number [156] number,drawn [156] 80ada,4nfts [156] 4nfts,enter [156] enter,follow [156] people,#cnftgiveaway [117] #cnftgiveaway,#cnftcommunity [117] #cnftcommunity,#cnft Top Word Pairs in Tweet in G10:
[104] million,pounds [104] pounds,trash [104] trash,oceans [104] mrbeast,markrober [104] markrober,dangerusswilson [104] #teamseas,#payitforward [103] hey,seahawks [103] seahawks,challenge [103] challenge,donate [103] donate,1m 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 G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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: