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SocialCitNet

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Identify core inventions

The Network Dependency on Patent Index (NDPI) helps identify patents that are most cited in the network. High NDPI patents contain core inventions on which many other inventions have been built.

Design around these core patents. Build on these core patents along new invention directions.


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SocialCitNet is a quick and efficient tool that helps analyze a patent's citation network to identify the most important patents in that network. Patents contain references to relevant prior art, including other patents. These references are called citations. Central Patent can be divided into two-Backward citations and Forward citation. Backward citations of a central patent are the references cited by the central patent. Forward citations of a central patent are the patents that refer to the central patent. Citations are provided by the inventors as well as by the patent examiners. By utilizing knowledge hidden in citation information, it introduces a new approach to search patent databases and to build and analyze technology landscapes. It enables a user to understand the technologies in vogue. SocialCitNet not only gives the quick and efficient results for patent's citation network but also shows how strong your portfolio is. Moreover, it helps you figure out the top patent in technology landscape


Who is this tool for?

SocialCitNet is for Individual Inventors, IPanalytics, R D departments, Investors, thinkers etc .




Frontend: PHP5, J2EE 1.4
Backend: Mysql 5


Inputs:

The input formats for USPTO and ESPACENET are slightly different, as follows:


  • USPTO (United States Patent and Trademark Office): SocialCitNet (USPTO) requires the numeric patent number and depth as input. It can take only US Patent numbers (granted) as input. Also, the output citation network contains only US patents (granted as well as applications)
  • ESPACENET (European Patent Office): SocialCitNet (ESPACENET) requires the complete patent number (including the country prefix and the kind code suffix) and depth as input. It can take patent numbers from multiple countries as input. The output citation network contains patents from multiple countries.

Outputs:

SocialCitNet output consists of the following:

  • A citation network diagram.
  • Lists of patents ranked on the following:
    • PDNI (Patent Dependency on Network Index)
    • NDPI (Network Dependency on Patent Index)
    • ECCI (Ego-Centric Citation Index)
  • Radar plots of top 20 patents in each category (PDNI, NDPI, and ECCI).

The features of SocialCitNet are as follows:


  • Inventors can find out the patents on a particular technology to be built.
  • It helps build the technology landscapes.
  • Organizations can check the position of their invented products in the market.
  • Allows preliminary keyword-based and classification search
  • Identify core inventories.
  • Provides the description of in-demand technologies, which helps investors, invest in a particular area.
  • Builds on Integration and Intersection network in citation.
  • Dashboard, which keeps track of your latest searches.
  • Viewing and downloading the result for your future reference.



In order to understand the significance of product development, we need to understand the older way of functioning of patent citations. There was a lot of manual effort involved to search the patents for related technologies. It was time consuming and inefficient to read the details of minimum of hundreds of results for a particular technology using ESPACENET and USPTO sites. Keeping this in mind, an ideal tool that can apply its algorithm and gets us the result quickly was a necessity. SocialCitNet is a unique tool that shows us the Radars of the top patents with the help of ECCI in accordance with PDNI and NDPI. Although SocialCitNet uses USPTO and ESPACENET databases, the search time is a function of the number of patents in the citation network and the number of links between them. On an average, a Depth 1 search for say, a 40 node network, takes 2-3 minutes to complete. A Depth 2 search for a 400 node network takes about 25 minutes. Larger networks proportionately take longer time to complete.

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