The graph represents a network of 16,464 Twitter users whose recent tweets contained "Duluth", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 10/30/2023 6:18:16 PM. The network was obtained from Twitter on Tuesday, 31 October 2023 at 11:07 UTC.
The tweets in the network were tweeted over the 2410-day, 3-hour, 19-minute period from Sunday, 26 March 2017 at 00:47 UTC to Tuesday, 31 October 2023 at 04:06 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 : 16464
Unique Edges : 15974
Edges With Duplicates : 12555
Total Edges : 28529
Number of Edge Types : 9
Replies to : 6382
MentionsInReplyTo : 3676
Quote : 1440
Retweet : 2671
Mentions : 4207
Tweet : 9074
MentionsInRetweet : 467
MentionsInQuote : 517
MentionsInQuoteReply : 95
Self-Loops : 10145
Reciprocated Vertex Pair Ratio : 0.0250924083025306
Reciprocated Edge Ratio : 0.0489563830524929
Connected Components : 4933
Single-Vertex Connected Components : 2820
Maximum Vertices in a Connected Component : 7025
Maximum Edges in a Connected Component : 17371
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.22838
Graph Density : 5.32048277177429E-05
Modularity : 0.534942
NodeXL Version : 1.0.1.523
Data Import : The graph represents a network of 16,464 Twitter users whose recent tweets contained "Duluth", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 10/30/2023 6:18:16 PM. The network was obtained from Twitter on Tuesday, 31 October 2023 at 11:07 UTC.
The tweets in the network were tweeted over the 2410-day, 3-hour, 19-minute period from Sunday, 26 March 2017 at 00:47 UTC to Tuesday, 31 October 2023 at 04:06 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 : Duluth
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:
[1265] duluth,mn [912] minnesota,duluth [737] duluth,minnesota [528] duluth,ga [490] sexual,conduct [490] criminal,sexual [481] counts,criminal [476] charged,counts [476] 48,duluth [475] duluth,charged Top Word Pairs in Tweet in G1:
[417] duluth,mn [265] duluth,ga [241] duluth,minnesota [202] minnesota,duluth [183] high,school [170] #vw,#duluth [169] #volkswagen,#vw [160] duluth,east [115] school,football [114] duluth,georgia Top Word Pairs in Tweet in G2:
[203] duluth,mn [128] emily,larson [99] duluth,east [99] duluth,area [88] area,chamber [86] mayor,emily [73] duluth,police [68] city,council [60] city,duluth [58] duluth,model Top Word Pairs in Tweet in G3:
[45] #superiorwi,#duluth [28] twin,cities [27] duluth,mn [26] #twinportsmusicfestival,#twinports [23] st,paul [22] #twinportsmusicfestival,#superiorwi [19] #twinports,#superiorwi [18] #duluth,#twinportsmusic [16] #twinportsmusic,#twinportsnightlife [15] twin,ports Top Word Pairs in Tweet in G4:
[262] minnesota,duluth [161] adam,johnson [76] family,friends [75] friends,minnesota [74] go,family [70] last,night [66] duluth,east [66] passed,away [64] johnson,passed [64] condolences,go Top Word Pairs in Tweet in G5:
[474] 48,duluth [474] counts,criminal [474] charged,counts [473] 1st,degree [473] criminal,sexual [473] sexual,conduct [471] franklin,massie [471] conduct,1st [471] clint,franklin [471] duluth,charged Top Word Pairs in Tweet in G6:
[89] #mnwx,#wiwx [85] duluth,minnesota [72] minnesota,area [56] lake,superior [42] duluth,mn [22] nws,duluth [21] great,lakes [20] port,wing [18] two,harbors [17] sand,island Top Word Pairs in Tweet in G7:
[163] duluth,model [19] gender,biased [18] writing,gender [18] model,flex [18] myopic,narrative [18] biased,report [18] flex,think [18] appeal,duluth [18] suit,myopic [18] narrative,appeal Top Word Pairs in Tweet in G8:
[25] gdpsports,jaxcofootball [24] duluthfb,duluth_wildcats [23] high,school [22] duluth,ga [21] duluth_wildcats,#gwinnettfb [21] gdpfootball,scoreatlanta [20] game,teaser [20] twinsportstv,game [20] duluth_wildcats,duluthfb [20] duluth,high Top Word Pairs in Tweet in G9:
[7] world,series [6] book,down [6] duck,duck [5] target,field [5] johnubacon,discounttire [5] iron,range [4] clean,water [4] good,read [4] another,book [4] last,night Top Word Pairs in Tweet in G10:
[13] jzulgad,philmackey [12] philmackey,dexstweets [10] duluth,mn [7] dexstweets,duluth [7] duluth,minnesota [5] north,shore [5] morning,duluth [4] chick,fil [4] trip,duluth [4] falls,yesterday Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 G9:
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: