I test out quite of bit of open source intelligence tools. One of those tools is the Facebook Graph Search. In this video, I show the importance of monitoring your business and brand, and in particular those who say they “work” for your company.
Advanced Facebook Search (AFS) is a Chrome extension that allows you to gather profile data from Facebook users and conduct a graph search with query inputs to find specific people. This tool can come in handy in a variety of circumstances from marketing and advertising to security and law enforcement investigations.
TrendsMap provides real-time local Twitter trends that allows you to find what is trending on Twitter anywhere in the world.
TrendsMap is one of my go to tools for tracking and monitoring trending topics on Twitter.
MapD’s Tweet Map is a free demo that uses GPU processing power (as opposed to CPU power) to display hundreds of millions of tweets on a map visually. This is big data at your fingertips – hundreds of millions of tweets displayed during a snapshot in real time. You can zoom all the way down to street level to view tweets, Instagram posts, and Foursquare checkins.
MapD also visualizes what devices people are using and you can filter the data by using search terms or hashtags.
Hi everyone in today’s video we’re going to be taking a look at the One Million Tweet Map. It maps the last geolocalized tweets delivered by the twitter stream API.The Map data is updated in real-time – YES – IN REAL-TIME – and it keeps “only” the last one million tweets on a global scale. Each second, about fifty new tweets are added (and the fifty oldest tweets are removed to keep the same number of points on the map). Why not higher amounts? They are limited by the Twitter stream but they could do much higher.
To put it matter-of-factly – this map deals with big data effortlessly.
Twilert sends you realtime email alerts when your brand names, keywords or hashtags are mentioned on Twitter. Using Twilert’s use of RSS, you can set up an If This, Then That (IFTTT) Applet to notify you or your team of specific tweets, hashtags, users, in a specific area. The use case for this would be while traveling or at a particular place for an extended period. For instance attending a conference or similar function. Using Twilert’s history of tweets matching your queries will allow you to monitor tweets over time of individuals for investigative purposes.