Abstract: In an approach to analyzing a path on a graph, a computer receives a graph comprising a plurality of vertices and edges, each edge linking two vertices. The computer, for each one of said plurality of vertices, analyzes edges linked to said one of plurality of vertices to determine a number of outbound links from said one of plurality of vertices, orders said edges, and assigns a value to each ordered edge. The computer, for the graph, receives a path comprising a plurality of edges linking two of said plurality of vertices through at least one other of said plurality of vertices, encodes said path, the encoding using said number of outbound links and said assigned values of each of said one or more edges linking said two of said plurality of vertices, compresses the encoded path, and analyzes said path on said graph using said compressed, encoded path.

Abstract: Embodiments of the present invention provide systems and methods for graphing networks. In one embodiment, a dampening heuristic is utilized to graph networks to increase their stability. Nodes are visualized by finding local and global minima and equilibrium positions. Factors such as the influence of neighboring nodes; attraction and repulsion phases; and dynamism of complex networks are addressed by embodiments of the present invention. The stability of nodes are measured quantitatively using vectors, degree of influence of neighboring nodes on other nodes, and updating dampening heuristics.

Abstract: In an approach to analyzing a path on a graph, a computer receives a graph comprising a plurality of vertices and edges, each edge linking two vertices. The computer, for each one of said plurality of vertices, analyzes edges linked to said one of plurality of vertices to determine a number of outbound links from said one of plurality of vertices, orders said edges, and assigns a value to each ordered edge. The computer, for the graph, receives a path comprising a plurality of edges linking two of said plurality of vertices through at least one other of said plurality of vertices, encodes said path, the encoding using said number of outbound links and said assigned values of each of said one or more edges linking said two of said plurality of vertices, compresses the encoded path, and analyzes said path on said graph using said compressed, encoded path.

Abstract: One or more processors receive a dataset that includes a plurality of nodes. One or more processors identify relationships between a plurality of interacting nodes within the dataset. One or more processors determine relationship strength values between a plurality of interacting node pairs within the dataset. One or more processors generate a graphical representation that represents the relationship strength values between the plurality of interacting nodes within the dataset. Interacting node pairs are connected by edges and the edges have a length that correlates with the relationship strength value between the interacting node pairs.

Abstract: Embodiments of the present invention provide systems and methods for graphing networks. In one embodiment, a dampening heuristic is utilized to graph networks to increase their stability. Nodes are visualized by finding local and global minima and equilibrium positions. Factors such as the influence of neighboring nodes; attraction and repulsion phases; and dynamism of complex networks are addressed by embodiments of the present invention. The stability of nodes are measured quantitatively using vectors, degree of influence of neighboring nodes on other nodes, and updating dampening heuristics.

Abstract: Methods and apparatuses for generating a route plan for accessing harvestable resources is provided. A processor receives a node layout for a location with harvestable resources, wherein the location includes at least two parcels. A processor determines a first route network for the location at a first time step. A processor determines a second route network for the location at a second time step. A processor generates a first route plan is based, at least in part, on the first route network and the second route network.

Abstract: Methods and apparatuses for generating a route plan for accessing harvestable resources is provided. A processor receives a node layout for a location with harvestable resources, wherein the location includes at least two parcels. A processor determines a first route network for the location at a first time step. A processor determines a second route network for the location at a second time step. A processor generates a first route plan is based, at least in part, on the first route network and the second route network.

Abstract: Embodiments of the present invention provide systems and methods for graphing networks. In one embodiment, a dampening heuristic is utilized to graph networks to increase their stability. Nodes are visualized by finding local and global minima and equilibrium positions. Factors such as the influence of neighboring nodes; attraction and repulsion phases; and dynamism of complex networks are addressed by embodiments of the present invention. The stability of nodes are measured quantitatively using vectors, degree of influence of neighboring nodes on other nodes, and updating dampening heuristics.

Abstract: Embodiments of the present invention provide systems and methods for graphing networks. In one embodiment, a dampening heuristic is utilized to graph networks to increase their stability. Nodes are visualized by finding local and global minima and equilibrium positions. Factors such as the influence of neighboring nodes; attraction and repulsion phases; and dynamism of complex networks are addressed by embodiments of the present invention. The stability of nodes are measured quantitatively using vectors, degree of influence of neighboring nodes on other nodes, and updating dampening heuristics.

Abstract: Embodiments of the present invention provide systems and methods for graphing networks. In one embodiment, a dampening heuristic is utilized to graph networks to increase their stability. Nodes are visualized by finding local and global minima and equilibrium positions. Factors such as the influence of neighboring nodes; attraction and repulsion phases; and dynamism of complex networks are addressed by embodiments of the present invention. The stability of nodes are measured quantitatively using vectors, degree of influence of neighboring nodes on other nodes, and updating dampening heuristics.

Abstract: A method for probabilistically finding the connected components of an undirected graph. The method includes identifying a first edge, having a first and second vertex, and inserting information detailing the first and second vertex of the first edge into a bloom filter associated with a root node of a bloom filter data structure. A first node, connected to the root node, is created, comprising an associated bloom filter containing information associated with the first and second vertex of the first edge. The method includes identifying a second edge, having a first and second vertex, and inserting information detailing the first and second vertex of the second edge into a bloom filter associated with the root node of the bloom filter data structure. A second node, connected to the root node, is created, comprising an associated bloom filter containing information associated with the first and second vertex of the second edge.

Abstract: One or more processors receive a dataset that includes a plurality of nodes. One or more processors identify relationships between a plurality of interacting nodes within the dataset. One or more processors determine relationship strength values between a plurality of interacting node pairs within the dataset. One or more processors generate a graphical representation that represents the relationship strength values between the plurality of interacting nodes within the dataset. Interacting node pairs are connected by edges and the edges have a length that correlates with the relationship strength value between the interacting node pairs.

Abstract: Methods and apparatuses for generating a route plan for accessing harvestable resources is provided. A processor receives a node layout for a location with harvestable resources, wherein the location includes at least two parcels. A processor determines a first route network for the location at a first time step. A processor determines a second route network for the location at a second time step. A processor generates a first route plan is based, at least in part, on the first route network and the second route network.

Abstract: Methods and apparatuses for generating a route plan for accessing harvestable resources is provided. A processor receives a node layout for a location with harvestable resources, wherein the location includes at least two parcels. A processor determines a first route network for the location at a first time step. A processor determines a second route network for the location at a second time step. A processor generates a first route plan is based, at least in part, on the first route network and the second route network.

Abstract: A method for probabilistically finding the connected components of an undirected graph. The method includes identifying a first edge, having a first and second vertex, and inserting information detailing the first and second vertex of the first edge into a bloom filter associated with a root node of a bloom filter data structure. A first node, connected to the root node, is created, comprising an associated bloom filter containing information associated with the first and second vertex of the first edge. The method includes identifying a second edge, having a first and second vertex, and inserting information detailing the first and second vertex of the second edge into a bloom filter associated with the root node of the bloom filter data structure. A second node, connected to the root node, is created, comprising an associated bloom filter containing information associated with the first and second vertex of the second edge.

Abstract: One or more processors receive a dataset that includes a plurality of nodes. One or more processors identify relationships between a plurality of interacting nodes within the dataset. One or more processors determine relationship strength values between a plurality of interacting node pairs within the dataset. One or more processors generate a graphical representation that represents the relationship strength values between the plurality of interacting nodes within the dataset. Interacting node pairs are connected by edges and the edges have a length that correlates with the relationship strength value between the interacting node pairs.

Abstract: According to embodiments of the invention, methods, and a computer system for configuring navigational controls in a geometric environment are disclosed. The method may include obtaining a data set for geometric representation on a display, forming one or more reference surfaces, calculating a fit score and a confidence score using one or more of the reference surfaces, and configuring the navigational system to a control scheme when a computational operation on the fit score and the confidence score is outside of a threshold value. The control scheme may be a geometric control scheme, a planar control scheme, and a roaming control scheme.

Abstract: A method for probabilistically finding the connected components of an undirected graph. The method includes identifying a first edge, having a first and second vertex, and inserting information detailing the first and second vertex of the first edge into a bloom filter associated with a root node of a bloom filter data structure. A first node, connected to the root node, is created, comprising an associated bloom filter containing information associated with the first and second vertex of the first edge. The method includes identifying a second edge, having a first and second vertex, and inserting information detailing the first and second vertex of the second edge into a bloom filter associated with the root node of the bloom filter data structure. A second node, connected to the root node, is created, comprising an associated bloom filter containing information associated with the first and second vertex of the second edge.

Abstract: A method for probabilistically finding the connected components of an undirected graph. The method includes identifying a first edge, having a first and second vertex, and inserting information detailing the first and second vertex of the first edge into a bloom filter associated with a root node of a bloom filter data structure. A first node, connected to the root node, is created, comprising an associated bloom filter containing information associated with the first and second vertex of the first edge. The method includes identifying a second edge, having a first and second vertex, and inserting information detailing the first and second vertex of the second edge into a bloom filter associated with the root node of the bloom filter data structure. A second node, connected to the root node, is created, comprising an associated bloom filter containing information associated with the first and second vertex of the second edge.

Abstract: According to embodiments of the invention, methods, and a computer system for configuring navigational controls in a geometric environment are disclosed. The method may include obtaining a data set for geometric representation on a display, forming one or more reference surfaces, calculating a fit score and a confidence score using one or more of the reference surfaces, and configuring the navigational system to a control scheme when a computational operation on the fit score and the confidence score is outside of a threshold value. The control scheme may be a geometric control scheme, a planar control scheme, and a roaming control scheme.