The graph represents a network of 140 Twitter users whose recent tweets contained "women public transport delhi", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 2,000 tweets, tweeted between 5/10/2023 12:00:00 AM and 5/10/2024 12:00:00 AM. The network was obtained from Twitter on Friday, 10 May 2024 at 09:29 UTC.
The tweets in the network were tweeted over the 366-day, 13-hour, 13-minute period from Wednesday, 10 May 2023 at 03:15 UTC to Friday, 10 May 2024 at 16:29 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.
Vertices : 140
Unique Edges : 104
Edges With Duplicates : 14
Total Edges : 118
Number of Edge Types : 6
Quote : 8
Tweet : 24
MentionsInQuote : 3
Mentions : 18
Replies to : 51
MentionsInReplyTo : 14
Self-Loops : 40
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 65
Single-Vertex Connected Components : 28
Maximum Vertices in a Connected Component : 14
Maximum Edges in a Connected Component : 14
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 1.744966
Graph Density : 0.0039568345323741
Modularity : 0.737234
NodeXL Version : 1.0.1.534
Data Import : The graph represents a network of 140 Twitter users whose recent tweets contained "women public transport delhi", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 2,000 tweets, tweeted between 5/10/2023 12:00:00 AM and 5/10/2024 12:00:00 AM. The network was obtained from Twitter on Friday, 10 May 2024 at 09:29 UTC.
The tweets in the network were tweeted over the 366-day, 13-hour, 13-minute period from Wednesday, 10 May 2023 at 03:15 UTC to Friday, 10 May 2024 at 16:29 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 : women public transport delhi
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:
[90] public,transport [19] free,public [13] transport,women [9] transport,delhi [8] transport,system [7] women,delhi [6] women,public [6] delhi,metro [6] women,safety [5] free,hai Top Word Pairs in Tweet in G1:
[35] public,transport [10] free,public [4] delhi,metro [4] transport,women [4] transport,delhi [3] women,delhi [3] fare,free [3] delhi,women [3] accessible,public [3] #karnataka,#delhi Top Word Pairs in Tweet in G2:
[6] public,transport [3] free,public [2] cm,arvindkejriwal [2] another,first Top Word Pairs in Tweet in G3:
[4] public,transport [4] secure,public [3] safe,secure [3] transport,women [2] towards,safe [2] know,more [2] women,delhi Top Word Pairs in Tweet in G5:
[2] public,transport [2] tax,payers Top Word Pairs in Tweet in G6:
[4] transport,system [4] south,delhi [4] income,disparity [4] many,things [4] poverty,pollution [4] lack,infrastructure [4] indians,forget [4] good,roads [4] care,palestine [4] lavanya,south Top Word Pairs in Tweet in G8:
[2] public,transport 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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