Abstract
This is a network analysis approach to locate potential technosignatures
in space. In the approach, nodes represent exoplanet host stars (host
stars as a proxy for exoplanet locations when working with interstellar
distances), while edges or connections represent hypothetical ET
navigation/communication pathways between the nodes. The approach is
flexible whereby it can apply to either non-radio or radio
technosigntures. A customizable network fitting algorithm is used to
determine the network topology. The data source is the NASA Exoplanet
Archive, and the software program used to perform the analysis is a
Python software package known as a Point Processing Toolkit or “pptk”,
which is useful for visualizing 2D and 3D points. Prospective
contributions to the field include narrowed down locations of potential
technosignatures in space for mission or project design (e.g., involving
the James Webb Space Telescope, TESS…), and operationalization of
the Drake Equation in regard to the equation’s term pertaining to the
fraction of planets that develop intelligent life.