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The flowchart giving the algorithm to detect misinformation using a retweet graph to estimate the general acceptability of tweets and credibility of sources.
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Figure 5 A retweet graph for a source 'source
We construct a retweet graph as in Figure 5.
We constructed a retweet graph similar to Figure 5 but involving all the sources and the tweets which have been retweeted.
Construct a retweet graph to evaluate and measure the 'misinformation content' of a tweet and determine its credibility by the level of its acceptance by all the affected users using Gini coefficient.
We directly define our graph by using a bidirected graph.
In chemical graph theory, we usually use a graph to represent a molecule graph.
Evaluate the general acceptance of tweets from credible users using PageRank algorithm in the retweet graph.
The general acceptability of the tweet was measured using PageRank algorithm in this retweet graph [26].
A sample retweet graph to show the construction of the retweet graph for a source 'source
For instance, the relationship between two features is best understood using a simple scatter plot or bar graph.
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