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WBiCM
The method implements a maximum entropy model tailored for weighted bipartite graphs. This model incorporates constraints on degree sequences/topology and strength sequences. -
Egonetworks
This package contains classes and functions for the structural analysis of ego networks. An ego network is a simple model that represents a social network from the point of... -
MaxAndSam Network Reconstruction Method
This method reconstructs socio-economic and financial networks from partial information, i.e., the knowledge of intrinsic node-specific properties and of the number of...-
RAR
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RAR
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NDlib-rest
Network Diffusion Library REST Service. This project offers a REST interface for the NDlib Python library. -
NDlib
Ndlib is a Network diffusion library that contains a set of models to simulate disease spreading and opinion dynamics.-
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HTML
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Fast and scalable likelihood maximization for Exponential Random Graph Models
Exponential Random Graph Models (ERGMs) have gained increasing popularity over the years. Rooted into statistical physics, the ERGMs framework has been successfully employed...-
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Network generator with fractal topologies - WP8
The micro-project has developed a python module for the generation of networks with fractal topologies, in particular Sierpinski graphs for the task involved in T8.4 Complex... -
Attributed Sream Hypergraphs
ash_model is a Python software package that allows to represent and analyze dynamic hypergraphs enriched with node attributes. -
Private Human-agent coordination in a group formation game
Coordination and cooperation between humans and autonomous agents in cooperative games raise interesting questions on human decision making and behaviour changes. Here we report... -
Structify-Net
Structify_net is a python library allowing to create networks with a predefined structure, and a chosen number of nodes and links.-
ZIP
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Social Network Analysis
Social Network Analysis course @ Master SoBigData This course introduces students to the theories, concepts and measures of Social Network Analysis (SNA), that is aimed at...-
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Social Network Analysis with Python
This set of tutorials provides an introduction to Social Network Analysis in Python with networkx. Topics covered: Introduction to NetworkX NDlib: Network Diffusion library...-
ipynb
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Complex Network Analysis Lecture
These slides are for a lecture “Network analysis”, of 851-0585-38L Data Science in Techno-Socio-Economic Systems course presented in the spring semester 2021 at ETH Zurich....-
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Data Mining and Machine Learning Module
The module provides an introduction to base concepts of data mining and knowledge extraction process, introducing analytical models and algorithms for clustering,...-
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Data Mining and Machine Learning for Social Science
An introductory course for data mining and machine learning for social science. The course focuses on presenting typical data mining and machine learning techniques by using a...-
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Data Management for Business Intelligence Module
This module provides an introduction to information storage and management performed in order to support business decisions of organizations. It is part of the Master in Big...-
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Database Module
The 'Database Module' aims to introduce database analysis, focusing on DBMS architecture, Relational Models, SQL language and SQL nested queries. It is part of the Master in...-
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