Stratify, Inc.

Hakan Ancin

Joy Aloysius Thomas

David Bayer

Kumar Maddalli

Karthik Ramachandran

Kumar Maddali

Rajashekhar Goli

Ankita Bakshi

A pool of messages, e.g., e-mails and/or other electronic documents that each correspond to a communication from a sender to a recipient, is analyzed to identify communication chains between a source and a target. Sender and recipient identifiers extracted from the messages are used to detect direct and indirect communication links between pairs of entities. Information related to the identified communication chains can be presented to a user via an interactive network graph that supports iterative analysis of the communication-chain data.

Systems and methods for interactively analyzing communication chains based on messages

Reliable identification of highly similar documents allows such documents to be treated as identical for purposes of document analysis. Identification of highly similar documents can be based on a composite hash value or other value for which the likelihood of two documents having the same value is high if and only if the documents have a high degree of similarity. Prior to performing content based analysis, the composite hash value for the current document is determined and compared to composite hash values of previously analyzed documents. If a match is found, the results of the analysis of the previous document can be applied to the current document. If no match is found, the current document is analyzed.

Composite locality sensitive hash based processing of documents

A pool of messages, e.g., e-mails and/or other electronic documents that each correspond to a communication from a sender to a recipient, is analyzed to identify communication chains between a source and a target. Sender and recipient identifiers extracted from the messages are used to detect communication links between pairs of entities. Indirect chains of any desired length can be found by iteratively tracing a communication path one step forward from the source, then one step backward from the target, and so on; at each new step, entities at end points of the forward paths and backward paths are compared to detect any entities that complete a communication chain from source to target. Information related to the identified communication chains can be presented to a user via an interactive report that supports iterative analysis of the communication-chain data.

Systems and methods for determining communication chains based on messages

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San Jose, CA, United States of America

Hakan Ancin