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The Future of Social Networking is Trending Toward Quality over Quantity.

By Martin Fortier

If you’re having trouble socializing on the web, you must still be looking for the “power” button. Because anyone who spends any time on line knows there is no shortage of pontification portals. And there’s nothing wrong with that. However, the future of social networking will be more about accomplishments than embellishments. For networking sites serious about their “mission,” the first order of business is “order” itself – cutting the clutter, neutralizing the noise and making connections that count.

Social networks like Facebook and LinkedIn are very good at connecting people and recommending friends based on someone’s social circles. Those social networks and other like them are general in nature, with the main goal of building a vast user base in order to attract advertisers. More recent social networking properties have been created to address specific issues and work toward solutions. Focusing on outcomes rather than simply socializing makes the allocation of resources, and the elimination of waste paramount.

The Knowledge Ecology Engine™ (KEE) is an example of a specialized social network using artificial intelligence (A.I.) to bring together people and resources to solve real-world problems. Rob Hust, Co-Founder of Prefrent,™ the company that developed the A.I. for KEE,™ points out that, by definition, global problems are extremely complex, feature a plethora of moving parts, and are susceptible to cultural and communication pitfalls.

Hust describes his company’s technology, known as Affinitomics,™ as a svelte A.I. layer, which imparts context to data, making data self-aware and thus able to self-organize. “Alternative A.I. solutions primarily rely on text processing and ontologies (a structured tree of terms) which are time intensive, require heavy processing and are cost prohibitive for most web and mobile properties. A.I. like Affinitomics™ is perfect for complex communities like KEE™ because it’s easy and inexpensive to integrate, functions well in a dynamic environment, and is not inhibited by language issues,” states Hust.

The good news for communities like KEE™ is that the user experience belies all the heavy work, like the translation and artificial intelligence, that is taking place on the back end. Users are presented with familiar menus and intuitive icon-based navigation tools, making it easy to communicate, contribute and track efforts.