Viral Search and Analysis on the Social Web

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Google is making inroads into the field of social search. However, there are alternative providers that specialize in that field that are already well-established. One such search engine is PeopleBrowsr.

Similar to how Google has indexed the web, PeopleBrowsr has indexed Twitter:

With Twitter’s Firehose and our proprietary server technology, we have reliable access to over 3 years of data.

PeopleBrowsr recently introduced a social search engine that has the potential to carve its own niche in the space where Google’s search algorithms and simple Twitter activity trackers intersect.

ReSearch.ly

The new search engine is brand named ReSearch.ly*. PeopleBrowsr has designed Research.ly for “online discovery analysis and interaction”.

Research.ly is for consumers, brand marketers and researchers. Its goal is to

build advanced conversation technologies to assemble the collective intelligence through storing, retrieving and indexing every public human conversation. Now at this pivotal era of digital preservation in social media, we’re releasing 1,000 days of Twitter data – free of charge – for deep historical reporting and social search.

ReSearch.ly differentiates itself by offering these four tracking and analysis functions:

  1. The Interest Graph– Access by topic and keyword
  2. Degrees of Separation– A relationship mapping tool to discover the relationship between any two Twitter users
  3. Community Search– drill down searching for user subsets with one or more common attributes
  4. Location-based Search– drill down search within a geographically targeted user group.

The new service’s corporate motto is “Instant Communities In Real-Time with Viral Analytics and Viral Search”.  As of now, it seems to focus exclusively on Twitter stream content.

*Yes, that is correct. Research.ly operates under the auspices of the Libyan Government, as .ly is Libya’s ICANN-assigned top-level domain.

All comments welcomed! Less enthusiastic about spam though.

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