The graph represents a network of 52 Twitter users whose recent tweets contained "Portland toll", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 100,000 tweets, tweeted between 1/1/2024 12:00:00 AM and 1/29/2024 9:02:37 AM. The network was obtained from Twitter on Monday, 29 January 2024 at 17:09 UTC.
The tweets in the network were tweeted over the 27-day, 11-hour, 19-minute period from Monday, 01 January 2024 at 21:49 UTC to Monday, 29 January 2024 at 09:09 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 : 52
Unique Edges : 45
Edges With Duplicates : 5
Total Edges : 50
Number of Edge Types : 6
Tweet : 15
Replies to : 17
MentionsInReplyTo : 10
Quote : 3
Retweet : 1
Mentions : 4
Self-Loops : 17
Reciprocated Vertex Pair Ratio : 0.03125
Reciprocated Edge Ratio : 0.0606060606060606
Connected Components : 23
Single-Vertex Connected Components : 12
Maximum Vertices in a Connected Component : 15
Maximum Edges in a Connected Component : 19
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.796721
Graph Density : 0.0124434389140271
Modularity : 0.6528
NodeXL Version : 1.0.1.528
Data Import : The graph represents a network of 52 Twitter users whose recent tweets contained "Portland toll", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 100,000 tweets, tweeted between 1/1/2024 12:00:00 AM and 1/29/2024 9:02:37 AM. The network was obtained from Twitter on Monday, 29 January 2024 at 17:09 UTC.
The tweets in the network were tweeted over the 27-day, 11-hour, 19-minute period from Monday, 01 January 2024 at 21:49 UTC to Monday, 29 January 2024 at 09:09 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 : Portland toll
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:
[7] toll,roads [3] wine,taxes [3] issue,state [3] couple,developments [3] oregon's,relatively [3] developments,ratcheted [3] ratcheted,debate [3] taxes,perennial [3] high,toll [3] beer,wine Top Word Pairs in Tweet in G1:
[3] couple,developments [3] oregon's,relatively [3] ratcheted,debate [3] state,couple [3] perennial,issue [3] beer,wine [3] relatively,modest [3] developments,ratcheted [3] alcohol's,high [3] toll,oregon's Top Word Pairs in Tweet in G2:
[4] toll,roads [2] going,college [2] bridge,administrator [2] administrator,portland [2] college,toll [2] oregoncitizen_,portland [2] brb,going [2] toll,bridge Top Word Pairs in Tweet in G3:
[3] toll,roads [2] michael65529024,pdxreal1 [2] pdxreal1,oregoncitizen_ Top Word Pairs in Tweet in G9:
[3] natural,gas Top Replied-To in Entire Graph:
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Top Tweeters in Entire Graph:
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