公开(公告)号：US20180212834A1

公开(公告)日：2018-07-26

申请号：US15899607

申请日：2018-02-20

申请人： Aptima, Inc.

发明人： Georgiy Levchuk ,  E. Webb Stacy ,  Charlotte Shabarekh

IPC分类号： H04L12/24 ,  G06Q50/00

CPC分类号： H04L41/12 ,  G06Q50/01 ,  H04L41/14 ,  H04L41/142

摘要： Example embodiments of systems and methods for network pattern matching provide the ability to match hidden networks from noisy data sources using probabilistic matching analysis. The algorithms may map roles and patterns to observed entities. The outcome is a set of plausible network models. The pattern-matching methodology of these systems and methods may enable the solution of three challenges associated with social network analysis, namely network size and complexity, uncertain and incomplete data, and dynamic network structure.

公开(公告)号：US11627048B2

公开(公告)日：2023-04-11

申请号：US15899607

申请日：2018-02-20

申请人： Aptima, Inc.

发明人： Georgiy Levchuk ,  E. Webb Stacy ,  Charlotte Shabarekh

IPC分类号： H04L12/24 ,  H04L41/12 ,  G06Q50/00 ,  H04L41/14 ,  H04L41/142

摘要： Example embodiments of systems and methods for network pattern matching provide the ability to match hidden networks from noisy data sources using probabilistic matching analysis. The algorithms may map roles and patterns to observed entities. The outcome is a set of plausible network models. The pattern-matching methodology of these systems and methods may enable the solution of three challenges associated with social network analysis, namely network size and complexity, uncertain and incomplete data, and dynamic network structure.

公开(公告)号：US09917739B2

公开(公告)日：2018-03-13

申请号：US14379503

申请日：2012-12-31

申请人： Aptima, Inc.

发明人： Georgiy Levchuk ,  E. Webb Stacy ,  Charlotte Shabarekh

IPC分类号： H04L12/24 ,  G06Q50/00

CPC分类号： H04L41/12 ,  G06Q50/01 ,  H04L41/14 ,  H04L41/142

摘要： Example embodiments of systems and methods for network pattern matching provide the ability to match hidden networks from noisy data sources using probabilistic multi-attribute graph matching analysis. The algorithms may map roles and patterns to observed entities. The outcome is a set of plausible network models. The pattern-matching methodology of these systems and methods may enable the solution of three challenges associated with social network analysis, namely network size and complexity, uncertain and incomplete data, and dynamic network structure.

公开(公告)号：US20150049634A1

公开(公告)日：2015-02-19

申请号：US14379503

申请日：2012-12-31

申请人： Aptima, Inc.

发明人： Georgiy Levchuk ,  E. Webb Stacy ,  Charlotte Shabarekh

IPC分类号： H04L12/24

CPC分类号： H04L41/12 ,  G06Q50/01 ,  H04L41/14 ,  H04L41/142

摘要： Example embodiments of systems and methods for network pattern matching provide the ability to match hidden networks from noisy data sources using probabilistic multi-attribute graph matching analysis. The algorithms may map roles and patterns to observed entities. The outcome is a set of plausible network models. The pattern-matching methodology of these systems and methods may enable the solution of three challenges associated with social network analysis, namely network size and complexity, uncertain and incomplete data, and dynamic network structure.

摘要翻译： 用于网络模式匹配的系统和方法的示例实施例提供使用概率多属性图匹配分析来匹配来自噪声数据源的隐藏网络的能力。 算法可以将角色和模式映射到观察到的实体。 结果是一组合理的网络模型。 这些系统和方法的模式匹配方法可以使解决与社会网络分析相关的三个挑战，即网络规模和复杂性，不确定和不完整的数据以及动态网络结构。