The graph represents a network of 75 Twitter users whose recent tweets contained "violent discipline in africa", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 10,000 tweets, tweeted between 1/1/2019 12:18:19 PM and 9/13/2023 12:18:19 PM. The network was obtained from Twitter on Wednesday, 13 September 2023 at 05:22 UTC.
The tweets in the network were tweeted over the 1678-day, 19-hour, 37-minute period from Thursday, 07 February 2019 at 16:44 UTC to Wednesday, 13 September 2023 at 12:22 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 : 75
Unique Edges : 56
Edges With Duplicates : 9
Total Edges : 65
Number of Edge Types : 6
Mentions : 23
Replies to : 12
MentionsInReplyTo : 18
Quote : 3
Tweet : 8
Retweet : 1
Self-Loops : 11
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 26
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 13
Maximum Edges in a Connected Component : 12
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.381443
Graph Density : 0.00882882882882883
Modularity : 0.77071
NodeXL Version : 1.0.1.521
Data Import : The graph represents a network of 75 Twitter users whose recent tweets contained "violent discipline in africa", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 10,000 tweets, tweeted between 1/1/2019 12:18:19 PM and 9/13/2023 12:18:19 PM. The network was obtained from Twitter on Wednesday, 13 September 2023 at 05:22 UTC.
The tweets in the network were tweeted over the 1678-day, 19-hour, 37-minute period from Thursday, 07 February 2019 at 16:44 UTC to Wednesday, 13 September 2023 at 12:22 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 : violent discipline in africa
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:
[17] violent,discipline [13] north,africa [11] south,africa [10] middle,east [10] east,north [7] discipline,children [6] children,middle [4] discipline,home [4] children,aged [4] physical,punishment Top Word Pairs in Tweet in G2:
[4] violent,discipline [3] discipline,home [3] south,africa [2] subjected,violent [2] east,north [2] africa,subjected [2] north,africa [2] children,middle [2] middle,east Top Word Pairs in Tweet in G3:
[4] physical,punishment [4] north,africa [4] violent,discipline [2] discover,studies [2] middle,east [2] study,unicefindia [2] punishment,beneficial [2] africa,#mena [2] childhood,education [2] attitude,physical Top Word Pairs in Tweet in G4:
[3] children,aged [2] discipline,month [2] aged,14 [2] experience,violent [2] violent,discipline [2] 14,experience Top Word Pairs in Tweet in G6:
[5] discipline,children [5] north,africa [5] violent,discipline [4] east,north [4] middle,east [3] hrw,launch [3] 9am,york [3] launch,interactive [3] children,middle [3] interactive,index Top Word Pairs in Tweet in G7:
[2] south,africans [2] south,africa Top Replied-To in Entire Graph:
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Top Tweeters in Entire Graph:
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