This set of tutorials provides an introduction to Social Network Analysis in Python with networkx. Topics covered: Introduction to NetworkX NDlib: Network Diffusion library...

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...

This tool is a sentiment analysis framework inspired by models of epidemic spreading, which aims to extend sentiment-tagged lexicons. It is easily extendable to multiple...

This method describes an analytical framework to nowcast well-being by using mobility measures extracted from mobile phone data.

This dataset is obtained from the 2012 WISE Challenge: built upon the logs of the popular Chinese micro-blog service WEIBO, its interactions represent mentions of users in...

This method estimates the wellbeing of a country by using an alternative measure to GDP. The proposed measure is the average sophistication of the satisfiable needs of a...

This model allows to understand the integration process of immigrants starting from retail data. Under development.

This method is an adaptation of the general migration models to understand scientific migration. Under development.

Framework to model and analyze multidimensional networks

This dataset consists of managed and continuously updated data about Estonian companies and board members since 1994. Technical documentation of data structures and the REST API...

Network Diffusion Library REST Service. This project offers a REST interface for the NDlib Python library.

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...

Network built on top of US congress voting data and made available on the website GovTrack.us. Nodes identifies congressman and edges represent the semantic "have supported the...

Online interactions between users via the wall feature in the New Orleans regional network.

Ndlib is a Network diffusion library that contains a set of models to simulate disease spreading and opinion dynamics.

Financial data used to construct a bipartite network of systemically important banks and sovereign bonds.

This method nowcasts migration stocks and flows by using Twitter data. Under development.

The dataset contains records of electronic services (aka X-Road services), service providers and consumers harvested in April 2014 from RIHA (https://riha.eesti.ee). The data...

The DebtRank algorithm is used to estimate the impact of shocks in financial networks, as it overcomes the limitations of the traditional default-cascade approaches.The method...

Leader Detect is an algorithm that takes as input a social network and a table of actions performed by the people in the social networks and returns for each action the list...