The graph represents a network of 4,592 Twitter users whose recent tweets contained "mercatus", 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 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 14:52 UTC.
The tweets in the network were tweeted over the 3520-day, 8-hour, 38-minute period from Wednesday, 24 July 2013 at 14:11 UTC to Tuesday, 14 March 2023 at 22:50 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 : 4592
Unique Edges : 4535
Edges With Duplicates : 12296
Total Edges : 16831
Number of Edge Types : 9
Tweet : 824
Retweet : 2452
MentionsInRetweet : 4603
Mentions : 1618
Quote : 144
MentionsInQuote : 270
MentionsInReplyTo : 5050
Replies to : 1794
MentionsInQuoteReply : 76
Self-Loops : 1642
Reciprocated Vertex Pair Ratio : 0.0652114222954421
Reciprocated Edge Ratio : 0.122438458564248
Connected Components : 460
Single-Vertex Connected Components : 207
Maximum Vertices in a Connected Component : 2854
Maximum Edges in a Connected Component : 13719
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.103059
Graph Density : 0.000368041320049756
Modularity : 0.390612
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,592 Twitter users whose recent tweets contained "mercatus", 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 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 14:52 UTC.
The tweets in the network were tweeted over the 3520-day, 8-hour, 38-minute period from Wednesday, 24 July 2013 at 14:11 UTC to Tuesday, 14 March 2023 at 22:50 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 : mercatus
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:
[757] mercatus,center [293] cspanwj,mercatus [282] george,mason [246] mason,university [206] vaccine,mandates [190] center,george [137] study,mercatus [127] recent,study [125] found,evidence [123] university,found Top Word Pairs in Tweet in G1:
[108] mercatus,center [54] latest,episode [50] ideasofindia,speak [50] episode,ideasofindia [47] srajagopalan,latest [45] free,speech [43] veronique,rugy [43] rugy,mercatus [37] mercatus,urbanity [37] masonresearch,#masonresearch Top Word Pairs in Tweet in G2:
[44] policy,brief [42] richard,wagner [42] mercatus,center [39] former,fed [38] andrewtlevin,billnelson2x2 [37] billnelson2x2,cost [37] qe,taxpayers [37] staffers,andrewtlevin [37] fed,staffers [37] cost,qe Top Word Pairs in Tweet in G3:
[147] vaccine,mandates [122] mercatus,center [122] george,mason [121] mason,university [121] university,found [121] study,mercatus [121] recent,study [121] center,george [121] evidence,vaccine [121] found,evidence Top Word Pairs in Tweet in G4:
[88] mercatus,center [28] george,mason [23] mason,university [17] radio,show [15] show,podcast [14] drone,radio [12] vaccine,mandates [12] center,george [12] center,drone [12] covid,19 Top Word Pairs in Tweet in G5:
[8] waste,time [8] dont,waste [5] one,right [5] givêaway,one [5] mercatus_world,lashaunfitzmau1 [5] time,givêaway [4] chinedu41307212,pagekinley [4] fawaz920616445,sunnyleeeth [4] pantauchanel,mercatus_world [4] sunnyleeeth,chinedu41307212 Top Word Pairs in Tweet in G6:
[135] mercatus,center [31] koch,brothers [24] brothers,mercatus [23] george,mason [22] think,tank [21] imagine,sitting [21] ben,carson [21] gray,noahpinion [21] carson,koch [21] center,cohorts Top Word Pairs in Tweet in G7:
[292] cspanwj,mercatus [46] mercatus,center [32] keith,hall [28] hall,mercatus [23] tax,cuts [22] side,mouth [22] debt,onto [22] center,pass [22] one,side [22] pass,federal Top Word Pairs in Tweet in G8:
[91] hand,sanitizer [90] alcohol,deliveries [89] hit,breweries [89] allowed,nurses [89] couldn,help [89] make,hand [89] nurses,couldn [89] covid,hit [89] deliveries,allowed [89] breweries,allowed Top Word Pairs in Tweet in G9:
[92] clothing,cars [92] ultimately,explains [92] repair,ultimately [92] repair,services [92] cars,people [92] build,people [92] people,repair [92] explains,repair [92] services,shoes [92] shoes,clothing Top Word Pairs in Tweet in G10:
[60] lisakrstin,#gunsafetynow [59] _worldsolutions,lisakrstin [37] td_canada,scotiabank [37] cibc,desjardinsgroup [37] globaledgemsu,commonwealthsec [37] bmo,cibc [37] scotiabank,bmo [37] commonwealthsec,rbc [37] rbc,td_canada [37] #cdn,economy Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: