42 items found

Tags: Network analysis

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  • TrainingMaterial

    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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  • TrainingMaterial

    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...
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    Experiment

    Private Studying the streaming of the Capitol Raid

    This experiment is part the project "Streams of conspiratorial folklore" that investigates online media as a stream of performances, rather than as archives of documents. Our...
  • Experiment

    Validation for MoGAN

    We conduct extensive experiments on public datasets of bike and taxi rides to show that MoGAN outperforms the classical Gravity and Radiation models regarding the realism of...
  • Method

    Generating Synthetic Mobility Networks with Generative Adversarial Networks

    The increasingly crucial role of human displacements in complex societal phenomena, such as traffic congestion, segregation, and the diffusion of epidemics, is attracting the...
  • Dataset

    BioTAGME: A comprehensive platform for biological knowledge network analysis

    This Network was built through BioTAGME, a system that combines TAGME, an entity-annotation framework based on Wikipedia corpus with a network-based inference methodology (i.e.,...
  • TrainingMaterial

    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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  • TrainingMaterial

    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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  • TrainingMaterial

    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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  • TrainingMaterial

    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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  • TrainingMaterial

    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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  • TrainingMaterial

    Text Analytics and Opinion Mining Module

    The goals of this module are: - Have a general knowledge of text mining problems and methods. - Recognize situations in which Sentiment Analysis techniques can solve...
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  • TrainingMaterial

    Jupyter Notebooks

    King’s College London has developed complete stories around Jupyter Notebooks that form easy recipes for reproducible methods in social data science. Jupyter...
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  • Dataset

    Micro Project Datasets: Academic Migration and Academic Networks

    Datasets used and produced for and from the micro project titled: Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain
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  • Experiment

    Micro Project Experiments: Academic Migration and Academic Networks

    The experiments and results material for the micro project titled Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain
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  • Method

    Micro Project Methods: Academic Migration and Academic Networks

    Methods used for the micro-project titled: Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain
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  • Method

    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...
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  • Method

    Conformity

    Path-aware multi-scale homophily measure for node-attributed complex networks
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  • Method

    CDlib

    Community Discovery library
  • Method

    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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