The graph represents a network of 1,204 Twitter users whose recent tweets contained "#ORleg OR #ORpol", 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 1/1/2024 12:00:00 AM and 1/29/2024 9:37:23 AM. The network was obtained from Twitter on Monday, 29 January 2024 at 18:10 UTC.
The tweets in the network were tweeted over the 1252-day, 2-hour, 33-minute period from Tuesday, 25 August 2020 at 14:55 UTC to Monday, 29 January 2024 at 17:29 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 : 1204
Unique Edges : 1731
Edges With Duplicates : 1873
Total Edges : 3604
Number of Edge Types : 9
Retweet : 1369
Mentions : 377
Replies to : 231
MentionsInReplyTo : 122
Quote : 258
Tweet : 573
MentionsInQuote : 156
MentionsInRetweet : 336
MentionsInQuoteReply : 182
Self-Loops : 746
Reciprocated Vertex Pair Ratio : 0.0225525371604305
Reciprocated Edge Ratio : 0.0441102756892231
Connected Components : 52
Single-Vertex Connected Components : 34
Maximum Vertices in a Connected Component : 1130
Maximum Edges in a Connected Component : 3486
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.820101
Graph Density : 0.00137737052717045
Modularity : 0.418434
NodeXL Version : 1.0.1.528
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=294396
Data Import : The graph represents a network of 1,204 Twitter users whose recent tweets contained "#ORleg OR #ORpol", 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 1/1/2024 12:00:00 AM and 1/29/2024 9:37:23 AM. The network was obtained from Twitter on Monday, 29 January 2024 at 18:10 UTC.
The tweets in the network were tweeted over the 1252-day, 2-hour, 33-minute period from Tuesday, 25 August 2020 at 14:55 UTC to Monday, 29 January 2024 at 17:29 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 : #ORleg OR #ORpol
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[290] #orpol,#orleg [148] oregon,legislators [107] #orleg,#orpol [95] oregoncitizen_,oregon [89] much,money [87] state,imagine [87] entire,state [87] saved,#oregon [87] see,happen [87] money,saved Top Word Pairs in Tweet in G1:
[101] oregon,legislators [62] much,money [61] entire,state [61] happen,entire [61] saved,#oregon [61] state,imagine [61] imagine,much [61] see,happen [61] money,saved [60] #oregon,# Top Word Pairs in Tweet in G2:
[65] montana,idaho [65] nevada,utah [65] texas,montana [65] stands,texas [65] states,asking [65] wyoming,20 [65] others,states [65] utah,wyoming [65] 20,others [65] idaho,nevada Top Word Pairs in Tweet in G3:
[53] #orpol,#orleg [52] graduation,standards [40] government,removes [40] government,parades [40] victories,one [40] removes,graduation [40] fake,victories [40] standards,government [40] one,#orpol [40] around,fake Top Word Pairs in Tweet in G4:
[43] extremely,disappointing [43] portland,stoop [43] low,sue [43] media,outlet [43] reporter,media [43] stoop,low [43] disappointing,city [43] city,portland [43] sue,reporter [42] jmshumway,extremely Top Word Pairs in Tweet in G5:
[22] #orpol,#orleg [9] measure,110 [8] law,enforcement [7] try,good [7] many,still [7] let's,try [7] good,things [7] doing,working [7] things,happen [7] happen,states Top Word Pairs in Tweet in G6:
[57] #orpol,#orleg [40] measure,110 [26] #orleg,#orpol [23] addiction,crisis [22] treatment,services [21] drug,addiction [19] see,oregonian [19] heartened,see [19] despite,hardships [19] oregonian,recognized Top Word Pairs in Tweet in G7:
[15] #orpol,#orleg [11] #orgov,#orpol [10] sorganizers,eugoregonizers [8] alex_zee,greenwrites [7] wweek,iamtravisnelson [7] greenwrites,sophiegreenleaf [7] sejalhathi,shanedkavanaugh [7] ohaoregon,sejalhathi [7] eugoregonizers,vancemurphy [7] iamtravisnelson,sorganizers Top Word Pairs in Tweet in G8:
[28] #orpol,#orleg [11] climate,leaders [9] #orleg,#orpol [8] oregon,legislature [6] widen,freeways [6] leaders,widen [5] leaders,oregon [5] lt,lt [5] commissionerrg,reneforportland [5] legislature,#orpol Top Word Pairs in Tweet in G9:
[14] #orpol,#or05 [13] lori,chavez [13] chavez,deremer [12] #or05,#orpol [9] electionsaddict,brent_peabody [8] chris,pair [7] namethosetypes,jamiefororegon [7] janelle,bynum [6] bynum,campaign [5] 15,years Top Word Pairs in Tweet in G10:
[15] #orleg,#orpol [10] hey,ordepted [9] nine,working [9] asst,superintendent [9] 000,month [9] outside,group [9] former,asst [9] superintendent,scott [9] scott,nine [9] ordepted,former 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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