发明名称 VISUALIZATION OF RELATIONSHIPS AND STRENGTHS BETWEEN DATA NODES
摘要 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.
申请公布号 US2016171732(A1) 申请公布日期 2016.06.16
申请号 US201615055925 申请日期 2016.02.29
申请人 International Business Machines Corporation 发明人 Glover Raymond S.
分类号 G06T11/20;G06T13/80;G06N5/02;G06F17/30 主分类号 G06T11/20
代理机构 代理人
主权项 1. A method for visualizing relationships and relationship strengths of data comprising: receiving, by one or more processors, a dataset that includes a plurality of nodes; identifying, by one or more processors, relationships between a plurality of interacting nodes within the dataset; determining, by one or more processors, relationship strength values between a plurality of interacting node pairs within the dataset; generating, by one or more processors, a graphical representation that represents the relationship strength values between the plurality of interacting nodes within the dataset, wherein interacting node pairs are connected by edges, wherein the edges have a length that correlates with the relationship strength value between the interacting node pairs; counting, by one or more processors, a number of interactions between interacting node pairs; increasing, by one or more processors, the relationship strength value based, at least in part, on each interaction counted; generating, by one or more processors, an animation showing a change in relationship strength over time using a plurality of graphical representations that represent a specified time period; predicting, by one or more processors, a future relationship strength value for at least one of the interacting node pairs; providing, by one or more processors, a degree of confidence value for the future relationship strength value based, at least in part, on a statistical analysis of data included in the dataset; generating, by one or more processors, a graphical representation that includes a visualization of one or both of trends and patterns in a change of relationship strength between interacting nodes; generating, by one or more processors, the graphical representations using a modified force-directed algorithm; and generating, by one or more processors, the graphical representations using a separate layout algorithm.
地址 Armonk NY US