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All Projects → iamsinghrajat → Friends-Recommender-In-Social-Network

iamsinghrajat / Friends-Recommender-In-Social-Network

Licence: other
Friends Recommendation and Link Prediction in Social Netowork

Programming Languages

Jupyter Notebook
11667 projects
python
139335 projects - #7 most used programming language

Labels

machine-learningfacebooksocial-networkdatasetnetworkxrecommender-systemsocial-network-analysisnetwork-embeddingdatamininglink-predictiongraphalgorithmnetworkx-graphlinkpredictionnetworkx-drawing-utilitiesfriends-recommender

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Link Prediction in Social Netowork

info:A perfect repo for your college project on data mining - link prediction - friends recommender.

How To Use

  1. pip install networkx

  2. To run and understand this code first reach ___EntryPoint___ in python code .

    • facebook_combine.txt is dataset.
    • Facebook dataset is included download others from http://snap.stanford.edu/data/ . Use one with format like twitter_combine.txt or gplus_combine.txt .
    • At entry point you can choose which dataset to use you can even add your own dataset from http://snap.stanford.edu/data/ . Code will work for all dataset.
    • By default it is set to Facebook Data Set
    • sample_positive.txt: all positive friend relation ie. people with connecting edge in graph
    • sample_negative.txt: all negative friend relation ie. people with no connecting edge in graph
    • training.txt: combination of positive and negative to get a dataset of relations
    • features_combined_2.txt: for each relation features like AdamicAdar are calculated and then used for training model

  5. Following Scoring Methods are used to construct feature Set

    • common_neighbors
    • resource_allocation_index
    • jaccard_coefficient
    • adamic_adar_index
    • preferential_attachment

  6. SVM ANN and Logistic Regresssion is used for classificaion

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