Abstract: A method for identifying stakeholders relative to an issue is disclosed. In one embodiment, the method may include accessing first data associated with a plurality of individuals associated with an organization; generating first nodes representing the plurality of individuals within an issue graph model; accessing second data associated with one or more policies; generating second nodes representing the one or more policies within the issue graph model based on the second data; receiving an indication of a selected agenda issue; generating links within the issue graph model representing relationships between the first nodes and the second nodes; determining importance scores for the first nodes in the issue graph; identifying a node of the plurality of first nodes associated with the at least one selected agenda issue based on the importance scores; and outputting node properties associated with the identified node.

Abstract: A system for generating and analyzing issue graphs is disclosed. In one embodiment, at least one processor is configured to access first data associated with a plurality of policymakers; generate one or more first nodes representing the plurality of policymakers within an issue graph model; generate a second node within the issue graph model representing an organization; receive, via a user interface, a selection of at least one agenda issue of interest to the organization; receive user data via the user interface; generate links within the issue graph model representing relationships between the first nodes and the second node, the relationships being identified based on the first data, the user data, and the selected agenda issue; determine a gravitas score based on the issue graph model; and cause display of a network representing the issue graph model, the display including a representation of the gravitas score.

Abstract: A system for generating and analyzing organizational influence data is disclosed. In one embodiment, at least one processor is configured to access first data associated with a plurality of policymakers; generate first nodes representing the plurality of policymakers within an issue graph model; generate a second node representing an organization; receive a selection of an agenda issue of interest to the organization; access second data associated with the organization; generate links within the issue graph model representing relationships between the first nodes and the second node; determine an organizational influence factor comprising a measure of how likely the second node is to affect a property of each of the first nodes; identify at least one node of the first nodes associated with the selected agenda issue based on the organizational influence factor; and output node properties associated with the identified node.

Abstract: A prediction system provided with an integrated communications interface may include at least one processor configured to scrape the Internet to identify a currently pending legislative bill and information about legislators slated to vote on the pending bill. The processor may parse the information to determine a tendency position for each legislator. The processor may transmit for display to a system user a virtual whipboard that groups legislators into a plurality of groups based on determined tendency positions. The processor may receive a selected one of the plurality of groups of legislators for a communication interaction based on the determined tendency position of the group and access a legislator database that includes legislative communication addresses of legislative personnel scraped from the Internet and divided into a plurality of legislative function categories and receive from the system user a selection of at least one of the plurality of legislative function categories.

Abstract: A prediction system provided with an integrated communications interface may include at least one processor configured to scrape the Internet to identify a currently pending legislative bill and information about legislators slated to vote on the pending bill. The processor may parse the information to determine a tendency position for each legislator. The processor may transmit for display to a system user a virtual whipboard that groups legislators into a plurality of groups based on determined tendency positions. The processor may receive a selected one of the plurality of groups of legislators for a communication interaction based on the determined tendency position of the group and access a legislator database that includes legislative communication addresses of legislative personnel scraped from the Internet and divided into a plurality of legislative function categories and receive from the system user a selection of at least one of the plurality of legislative function categories.

Abstract: An Internet-based agenda data analysis system may include at least one processor configured to maintain a list of user-selectable agenda issues, present to a user via a user interface, the list of user-selectable agenda issues, and receive via the user interface, based on a selection from the list, agenda issues of interest to an organization. The processor may be configured to access information scraped from the Internet to determine, for a plurality of policymakers, individual policymaker data from which an alignment position of each policymaker on each of the agenda issues is determinable, calculate alignment position data from the individual policymaker data, the alignment position data corresponding to relative positions of each of the plurality of policymakers on each of the plurality of selected issues, and transform the alignment position data into a graphical display that presents the alignment positions of multiple policymakers.