PeopleBrowsr, the social analytics service that created Kred, has mined the Twitter hose for data on the Internet’s most viral people and subjects since 2008. Today, the company released an API that enriches Kred’s social influence scoring system with in-depth reports.
With PeopleBrowser, users can search key words and phrases, hashtags, names, bio data such as gender, interactions between users, location, or communities to pull up information on any topic. The analytics tool filters and indexes activity from the Twitter hose, public Facebook posts, and 40 million blogs and forums across the Web to produce detailed reports spanning as many as 1,200 days – more than three years – in social media history.
The results come back lightening-fast in the form of graphs, comment streams, photos, and lists of user handles: varied sets of data that allow users to look at the information from different perspectives, whether they want to know which topics were the most popular or they want to find out whether the conversations about their brand are positive or negative.
Kred is similar to Klout, but its two-numbered system ranks users higher for their ability to share and be shared with others on Facebook and Twitter than by number of followers alone. Used with PeopleBrowsr, people can not only read through mentions of their organization or brand, but also figure out which of their followers generate the most buzz, as well as the communities and locations where they have the most influence.
The API is actually a suite of tools that allow developers to harness the information in different ways. “The PeopleBrowsr Kred API makes it easy to rapidly build tools and apps that spotlight influential people driving conversations in connected communities and retrieve aggregated social data about people, products, brands, and markets,” said Travis Wallis, PeopleBrowsr’s director, API in a statement. “These APIs create an unprecedented opportunity for companies to create custom applications from deep real-time social data.”
A few companies have already given the technology a test-drive. Mashable currently uses the API to build its mRank Leaderboards. Using an action analytics tool, they can search by keyword, hashtag, or Twitter handle to get mention counts, word clouds and hashtag clouds. They can filter the information by community, location, keyword, and bio keyword for any time frame, even minute-to-minute. “We put on our swimsuits and dive headfirst into that data, identifying trends and tracking them on a myriad of topics,” explained Mashable CTO Robyn Peterson in a blog post. Recently, the tech publication ranked the hottest buzz words and phrases surrounding the Oscars.
The data visualization network Visual.ly also partnered with PeopleBrowser on a deep analytics tool that uses influence-related data for a particular page or person. This is where the data used for the Kred score especially comes into play, because the system measures an individual level of engagement on social media sites. With the Visually Create platform, users can turn tweets, hashtags, followers, friends, and Facebook likes into colorful infographics.
This visualization of the Social Times Facebook page, made on Visual.ly, gives details on the user base and shows how many people found the posted content from other users versus the page itself.