US 11,768,896 B1Granted

Virtual network analysis and exploitation

OwnerJeffrey Powellinventor

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Abstract

Methods and systems that evaluate currently operating online personas is automated to establish the relationships between nodes and assign attributes. A virtual network exploitation (ViNE) protocol can create a prioritized list of every account in the extended network based on its influence score, as well as filtering, to create a subset of the influencer list of accounts that meet attribute criteria. Analysis of this data can identify the key accounts for the influencer and lead lists and provide recommendations on the path and strategy the client should use to most effectively engage the accounts of interest. Automated seed list generation for SNA can be operationalized to identify all of the existing leads within an extended social network in priority order and provide an influence score for each account. The system can be scaled to combine individual accounts that focus on a specific organization, personality or region.

Claims17

Dependent claims

A method for automatically identifying accounts of interest in a virtual network, comprising:

determining friends of a subject;
determining friends of the friends of the subject;
creating an edges list as a raw data file including a plurality of separate entries, each of the separate entries including a first identification information concerning a specific friend of the subject and a second identification information concerning a specific friend of the specific friend of the subject;
creating a nodes list as a node file, the node file being a duplicate of the raw data file, with duplicate ones of the plurality of separate entries removed and having a status identifier added for each of the plurality of separate entries;
establishing an op-update dictionary containing one or more personas of interest;
comparing each of the plurality of separate entries in the node file with data in the op-update dictionary to find matching personas of interest from the op-update dictionary;
adding the matching personas of interest into the status identifier for the one of the plurality of separate entries in the node file;
and
applying social network analysis metrics to the node file and the raw data file to identify the accounts of interest, wherein:
the raw data file and node file are spreadsheet files and each of the plurality of separate entries are rows in the spreadsheet files;
and
the node file appends the second identification information with the first identification information and the status identifier is a separate column in the spreadsheet file.

9 more elements

A method of automatically identifying lead and influencer accounts in an extended network of an online persona, comprising:

determining friends of the online persona and friends of the friends of the online persona;
creating an edges list as a raw data file including a plurality of separate entries as separate rows in a spreadsheet, each of the separate entries including a first identification information concerning a specific friend of the online persona and a second identification information concerning a specific friend of the specific friend of the online persona;
creating a nodes list as a node file, the node file being a duplicate of the raw data file, with duplicate ones of the plurality of separate entries removed and having a status identifier column in the spreadsheet added for each of the plurality of separate entries;
establishing an op-update dictionary containing one or more personas of interest;
comparing each of the plurality of separate entries in the node file with data in the op-update dictionary to find matching personas of interest from the op-update dictionary;
creating a persona dictionary containing one or more controlled personas;
comparing each of the plurality of separate entries in the node file with data in the persona dictionary to find matching controlled personas from the persona dictionary;
adding the matching personas of interest and matching controlled personas into the status identifier for the one of the plurality of separate entries in the node file;
and
applying social network analysis metrics to the node file and the raw data file to identify the lead and influencer accounts in the extended network.

7 more elements

A non-transitory computer readable storage medium tangibly embodying a computer readable program code having computer readable instructions that, when executed, causes a computer device to carry out a method of automatically identifying accounts of interest in a virtual network, the method comprising:

determining friends of a subject;
determining friends of the friends of the subject;
creating an edges list as a raw data file including a plurality of separate entries, each of the separate entries including a first identification information concerning a specific friend of the subject and a second identification information concerning a specific friend of the specific friend of the subject;
creating a nodes list as a node file, the node file being a duplicate of the raw data file, with duplicate ones of the plurality of separate entries removed and having a status identifier added for each of the plurality of separate entries;
establishing an op-update dictionary containing one or more personas of interest;
comparing each of the plurality of separate entries in the node file with data in the op-update dictionary to find matching personas of interest from the op-update dictionary;
adding the matching personas of interest into the status identifier for the one of the plurality of separate entries in the node file;
and
applying social network analysis metrics to the node file and the raw data file to identify the accounts of interest, wherein:
the raw data file and node file are spreadsheet files and each of the plurality of separate entries are rows in the spreadsheet files;
and
the node file appends the second identification information with the first identification information and the status identifier is a separate column in the spreadsheet file.

9 more elements

Dependencies are inferred from the claim text.