fraudar package¶
A wrapper of Fraudar algorithm for the review graph mining project.
The Fraudar has been introduced by Bryan Hooi, et al. in ACM SIGKDD 2016 Conference on Knowledge Discovery & Data Mining (KDD 2016).
This package exports ReviewGraph
class, which implements interfaces expected in other APIs of Review Graph Mining project, and three sub algorithms used in FRAUDER:
aveDegree
computes average degree on a matrix,sqrtWeightedAveDegree
computes squareweighted average degree on a matrix,logWeightedAveDegree
computes logarithmweighted average degree on a matrix.
ReviewGraph
takes keyword argument algo
to be set the sub algorithm to be used.
Subpackages¶
Submodules¶
fraudar.graph module¶
Provide a review graph which runs Fraudar algorithm.
 class
fraudar.graph.
Product
(graph, name)[source]¶ Bases:
fraudar.graph._Node
A node type representing a product.
Use
ReviewGraph.new_product()
to create a new product object instead of using this constructor directory.Parameters:  graph – graph object this product belongs to.
 name – name of this product.

name
¶ name of this product.

summary
¶ summary of ratings given to this product.

summary
Summary of ratings given to this product.
 class
fraudar.graph.
ReviewGraph
(blocks=1, algo=<function logWeightedAveDegree>)[source]¶ Bases:
object
ReviewGraph is a simple bipartite graph representing review relation.
Parameters:  blocks – how many blocks to be detected. (default: 1)
 algo – algorithm used in fraudar, chosen from
aveDegree
,sqrtWeightedAveDegree
, andlogWeightedAveDegree
. (default: logWeightedAveDegree)

reviewers
¶ collection of reviewers.

products
¶ collection of products.

reviews
¶ dictionaly of which key is a product and value is another dictionaly of which key is a reviewer and value is a rating from the reviewer to the product.

add_review
(reviewer, product, rating, _time=None)[source]¶ Add a review from a reviewer to a product.
Parameters:  reviewer – reviewer who posts the review.
 product – product which receives the review.
 rating – the review score.
Returns: added review score.

new_product
(name)[source]¶ Create a new product.
Parameters: name – name of the new product. Returns: a new product object.
 class
fraudar.graph.
Reviewer
(graph, name, anomalous_score=0)[source]¶ Bases:
fraudar.graph._Node
A node type representing a reviewer.
Use
ReviewGraph.new_reviewer()
to create a new reviewer object instead of using this constructor directory.Parameters:  graph – graph object this reviewer belongs to.
 name – name of this reviewer.

name
¶ name of this reviewer.

anomalous_score
¶ anomalous score of this reviewer.

anomalous_score