Influence Networks ‹ OWNI. Where Does My Tweet Go? Visualize communities. Influence Networks: mode d’emploi. OWNI présente Influence Networks, un répertoire ouvert et sémantique des relations entre personnalités, institutions et entreprises.
Chaque élément est noté selon sa crédibilité, si bien que le bruit reste distinct du signal. En octobre 2010, lors du Personal Democracy Forum de Barcelone, plusieurs journalistes d’investigation ont expliqué comment ils avaient débusqué des affaires de corruption en procédant à l’analyse de réseaux. L’un d’entre eux, Dejan Milovac, a enquêté sur un projet immobilier situé sur la côte du Monténégro. Il a décortiqué les réseaux financiers autour du projet et montré comment des politiciens locaux étaient de mèche avec les promoteurs qui saccagent le littoral.
Le résultat se visualise ainsi : Le schéma pourrait gagner en lisibilité. L’analyse de réseaux est un thème en vogue chez les médias et les ONG. Du côté des geeks, le projet Little Sis est, lui, collaboratif et ouvert, avec son API. Comment ça marche ? Prenons un exemple. Investigation collaborative. ConnectedPRC. 1274372604_cac40_3.swf (Objet application/x-shockwave-flash) Network Visualization. NNDB: Tracking the entire world. Who knows who. NNDB Mapper: Tracking the entire world. NNDB Mapper: Tracking the Entire World. NNDB Mapper [nndb.com] is an interactive visualization tool for exploring the connections between people in the Notable Names Database (NNDB), a huge data source containing the biographical details of over 34,000 persons for whom the public has demonstrated a permanent interest.
The online application links all the people together through family relations, corporate boards, movies and TV, political alliances, or shadowy conspiracy groups, meanwhile also revealing their age, religion or organization. Individual maps can be saved and shared for others to explore. The relationships between people and other entities are represented through a simple network view (e.g. Dick Cheney), while some subjects and themes also include a timeline view (e.g. physicists). Map views can be custom-made and stored for others to see (e.g. all the corporate and political connections throughout the Fox Family or the founding fathers). LittleSis - Profiling the powers that be. Proximity Search: Entry Page. Muckety - Mapping relations and measuring influence.
NameBase. NameBase is a web-based cross-indexed database of names that focuses on individuals involved in the international intelligence community, U.S. foreign policy, crime, and business.
The focus is on the post-World War II era and on left of center, conspiracy theory, and espionage activities. In the 1980s, through his company Micro Associates, he sold subscriptions to this computerized database, under its original name, Public Information Research, Inc (PIR). At PIR's onset, Brandt was President of the newly formed non-profit corporation and investigative researcher, Peggy Adler, served as its Vice President. The material was described as "information on all sorts of spooks, military officials, political operators and other cloak-and-dagger types. Hypertrout. Harness the power of relationships. Kumu. RelFinder - Visual Data Web. Are you interested in how things are related with each other?
The RelFinder helps to get an overview: It extracts and visualizes relationships between given objects in RDF data and makes these relationships interactively explorable. Highlighting and filtering features support visual analysis both on a global and detailed level. The RelFinder is based on the open source framework Adobe Flex, easy-to-use and works with any RDF dataset that provides standardized SPARQL access. Check out the following links for some examples: ViralSearch: Identifying and Visualizing Viral Content. Analyzing the connections between friends and followers. Network Science. Navigator. Family Tree & Family History at Geni.com. Find Connections between People and Companies. Truthy. Conspire. Theyrule.net.
Interactive: Mapping the World's Friendships. Technology bridges distance and borders.
Individuals today can keep in touch with their friends and family in completely new ways — regardless of where they live. We explored these international connections through Facebook and found some trends — some predictable, some wholly unexpected, and some still inexplicable. Who can explain the strong link between the Democratic Republic of Congo, one of the poorest countries in the heart of Africa, and Ecuador? The reason the Central African Republic might be good friends with Kazakhstan is likewise mysterious to us. But as we did a little research, some unusual connections become surprisingly clear. Immigration is one of the strongest links that seems to bind these Facebook neighbors, as thousands of people pour over borders or over seas, seeking jobs or fleeing violence, and making new connections and maintaining old friendships along the way.
Chicago Lobbyists Force-Directed Graph Visualization. Created by Christopher Manning Summary This visualization includes the 50 highest paid lobbyists in Chicago, their clients, and the agencies they lobby.
The data was compiled from ChicagoLobbyists.org in 2010. Blue Nodes: LobbyistsGrey Nodes: ClientsGreen Nodes: Agencies The radius of the Blue(Lobbyist) and Grey(Client) nodes is relative to the amount of money associated with them. Nodes closer to the center have more connections than nodes on the outer edge. Discover the Networks.