/-Mcc-based-Suspicious-Link-Detection-System

Dataset and source code used in article "Mutual Clustering Coefficient-based Suspicious-link Detection Approach for Online Social Networks "

Primary LanguagePython

🚨🚨 Mcc-based-Suspicious-Link-Detection System 🚨🚨

Dataset and source code used in research paper entitled "Mutual Clustering Coefficient-based Suspicious-link Detection Approach for Online Social Networks "

Dataset(suspiciousLinks).csv file:

Data set containing similarity between friend pair based on features viz " f2 -> work(w), f3-> education(e), f4-> home_town(ht) and f5-> current_city(cc) " along with label [Suspicious | Normal]. f1 -> holds the value for Mutual_clustering_Coefficient(Mcc).

link_lists(edges).csv file:

Contains the information about the connected uesrs pairs in the collected data. This file has been used to extract the information of only the connected users (friends) and their mutual connections.

mutual_clustering_coefficient.R

Holds complete code to calculate Mututal_clusterin_coefficient (Mcc) of two connected users. The code has been implimented in R language using the RStudion Version 1.1.383 – © 2009-2017 RStudio, Inc. with system (R) configuratiuon as platform x86_64-w64-mingw32
arch x86_64
os mingw32
system x86_64, mingw32
status
major 3
minor 3.1
year 2016
month 06
day 21
svn rev 70800
language R
version.string R version 3.3.1 (2016-06-21)

calculate_similarity.py

This file holds the complete code to calculate profile similarity of two connected Facebook users based on the features such as f2 -> work(w), f3-> education(e), f4-> home_town(ht) and f5-> current_city(cc)