Search Results for "social networks"

...It is targeted to private individuals (home automation) as well as business users (smart retail environments, ambient aware marketing, monitoring and analytics, etc). Freedomotic can interact with well known standard building automation protocols as well as with "do it yourself" solutions. It treats the web, social networks and branded frontends as first class components of the system. [GITHUB REPOSITORY] https://github.com/freedomotic/freedomotic [USERS' MANUAL] http://freedomotic-user-manual.readthedocs.io/ [DEVELOPERS' MANUAL] http://freedomotic-developer-manual.readthedocs.io/ [INTERNATIONAL COMMUNITY] https://groups.google.com/forum/#!...

The purpose of MoRe4ABM - Managing Ongoing RElationships for ABM - is to support representing and analysing social networks in agent-based modeling. The library provides a large number of network generators and a comprehensive framework for network and node level measures. It integrates well with Repast Simphony and uses the JUNG library. More4ABM furthermore supports initialisation of geographically explicit networks using GIS.

Krowface (Krowdix 3.0) is a simulation and implementation tool of social networks. To visualize and analyze the evolution of different social networks in real time. And the creation of a social network, configuring the parameters that define it. All this through a simple web interface and user friendly.

SoNIA (Social Network Image Animator) is a Java-based package for visualizing dynamic or longitudinal network data and rendering it out as animations. The home page with examples is located at http://sonia.stanford.edu Documentation is at https://sourceforge.net/p/sonia/wiki/Main_Page/

TreeLiker is a collection of fast algorithms for working with complex structured data in relational form. The data can, for example, describe large organic molecules such as proteins or groups of individuals such as social networks or predator-prey networks etc. The algorithms included in TreeLiker are unique in that, in principle, they are able to search given sets of relational patterns exhaustively, thus guaranteeing that if some good pattern capturing an important feature of the problem exists, it will be found. In experiments with real-life data, the algorithms were shown to be able to construct complete non-redundant sets of patterns for chemical datasets involving several thousands of molecules as well as for comparably large datasets from genomics or proteomics. ...

YANG (Yet Another Network Generator - Java) enables you to generate social networks given various social rules observed in the real population. Uses: generate realistic networks to be used in individual-centric models, teaching or benchmarking.

FNA is a command line tool for creating and analyzing financial networks with concepts developed in social network analysis and network science. NOTE: the project has been moved to http://code.google.com/p/financial-network-analyzer/

This project is a prototype of a framework for Social Network Analysis created at INRIA. It provides methods for fetching, preparing, clustering and analyzing data from online Social Networks. Currently it has support only for the Twitter network.

SONIVIS:Tool aims at analysing social (virtual) information spaces like Wikis. These spaces are investigated by using different network definitions (collaboration/information networks). Clustering algorithms and statistiscal analyses are provided.

Egotistics is a social network analysis program that allows users to simultaneously explore multiple personal networks (called 'ego networks').

Bitnets instantiates and operates on graphs and subgraphs of large complex networks, such as kinship networks. Bitnets consists mainly of a java library, a number of use examples and an interactive interpreted language interface.

W.H.A.T. is an analytic tool for Wikipedia with two main functionalities: an article network and extensive statistics. It contains a visualization of the article networks and a powerful interface to analyze the behavior of authors.

ScenConnect shows scenarios as networks of situation and event tag sets, for fast comparisons. It links scenarios to tags, scores, and other metadata, creating situationals suitable for search, mining, machine learning, and planning.