PATENT CLAIM ANALYSIS

Application Number: 15899607
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["370", "254000"]

Abstract:
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.

Claim (Index 11):
The computer implemented method of  claim 7  wherein the step of segmenting the data network into a plurality of data network subnetworks is segmented with a clustering algorithm selected from one of the group comprising:\n geo-spatial clustering; \n contextual clustering; \n relational clustering; \n similarity-based clustering; and \n disconnected network clustering.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 88.0
- Lexical Diversity: 1.47368
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14379503', '14032105', '11367943', '11673816', '13747312']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4723475764900379
- 35 USC 102 Novelty (BERT): 0.5515715909763081
- Combined Prediction Score: 0.4802699779386649
- Mean Citation Score: 229.275394
- Max Citation Score: 409.39645
- Similarity Product: 321.2161473262161

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test