21-08-2012, 02:22 PM
Examine and Measure Influence in Relationships
Tartan is agent-based, influence modeling software that aids in
the visualization and quantification of relationships within social
networks. While other Social Network Analysis (SNA) tools
emphasize the obvious connections through simple link analysis,
Tartan takes a different approach using mathematical algorithms to
discover "hidden" networks, quantify influence, and identify lessvisible group dynamics.
Analyze and Identify:
Ranks of influence within human
networks
Key voices within populations
Interlocutors, messengers, and others
with key access
Hidden or missing relationships
The use of aliases
Emerging leaders and new key
influencers
Applications:
National Security: deconstruct illicit
organizations, identify powerful
influencers, and uncover hidden
networks
Federal Law Enforcement:
investigate and infiltrate drug cartels
and gangs
Politics: analyze voting influence and
power cells
Business: analyze and predict the
outcome of M&A or executive
successions
Tartan removes the bias inherent in most SNA software applications
by using data-driven quantification techniques, rather than
subjective relationship qualifiers, to:
Identify key decision-makers using deference modeling
techniques
Expose hidden connections between individuals
Predict the re-configuration of networks when individuals are
removed from the model
Identify coalitions and rivalries
How It Works
Import your research. Multi-browser Tartan
Bookmarklet sends web pages directly to Tartan for
processing.
Tartan's built-in text extractor automatically identifies
and pulls out relevant data from documents, including
named individuals and geographic locations.
Point and click to define relationship
characteristics, including deference, meeting
frequency, strength, kinship, and more.
Tartan's proprietary analysis engine generates an
interactive, visual model that illustrates relationship
dynamics.
Algorithms quantify attributes of each agent, such
as degree of centrality and influence, and highlight
hidden networks.
Simulate and analyze the reconfiguration of
networks when specific agents are removed.
http://tartanmetrics.com/images/Tartan_2..._Sheet.pdf
Tartan is agent-based, influence modeling software that aids in
the visualization and quantification of relationships within social
networks. While other Social Network Analysis (SNA) tools
emphasize the obvious connections through simple link analysis,
Tartan takes a different approach using mathematical algorithms to
discover "hidden" networks, quantify influence, and identify lessvisible group dynamics.
Analyze and Identify:
Ranks of influence within human
networks
Key voices within populations
Interlocutors, messengers, and others
with key access
Hidden or missing relationships
The use of aliases
Emerging leaders and new key
influencers
Applications:
National Security: deconstruct illicit
organizations, identify powerful
influencers, and uncover hidden
networks
Federal Law Enforcement:
investigate and infiltrate drug cartels
and gangs
Politics: analyze voting influence and
power cells
Business: analyze and predict the
outcome of M&A or executive
successions
Tartan removes the bias inherent in most SNA software applications
by using data-driven quantification techniques, rather than
subjective relationship qualifiers, to:
Identify key decision-makers using deference modeling
techniques
Expose hidden connections between individuals
Predict the re-configuration of networks when individuals are
removed from the model
Identify coalitions and rivalries
How It Works
Import your research. Multi-browser Tartan
Bookmarklet sends web pages directly to Tartan for
processing.
Tartan's built-in text extractor automatically identifies
and pulls out relevant data from documents, including
named individuals and geographic locations.
Point and click to define relationship
characteristics, including deference, meeting
frequency, strength, kinship, and more.
Tartan's proprietary analysis engine generates an
interactive, visual model that illustrates relationship
dynamics.
Algorithms quantify attributes of each agent, such
as degree of centrality and influence, and highlight
hidden networks.
Simulate and analyze the reconfiguration of
networks when specific agents are removed.
http://tartanmetrics.com/images/Tartan_2..._Sheet.pdf
"The philosophers have only interpreted the world, in various ways. The point, however, is to change it." Karl Marx
"He would, wouldn't he?" Mandy Rice-Davies. When asked in court whether she knew that Lord Astor had denied having sex with her.
“I think it would be a good idea” Ghandi, when asked about Western Civilisation.
"He would, wouldn't he?" Mandy Rice-Davies. When asked in court whether she knew that Lord Astor had denied having sex with her.
“I think it would be a good idea” Ghandi, when asked about Western Civilisation.