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 7):
A computer implemented method for determining a network pattern match, said method comprising:\n representing a plurality of model nodes and a plurality of model links of the model nodes as a model network; the model network comprising one or more model network subnetworks; representing a plurality of data nodes and a plurality of data links of the data nodes as a data network; segmenting the data network into one or more data network subnetworks; comparing, in parallel, the one or more data network subnetworks to the one or more model network subnetworks to determine a mapping measure for each comparison; comparing the subnetwork mapping measure to a subnetwork mapping constraint threshold and if the subnetwork mapping constraint measure exceeds the subnetwork mapping constraint threshold, defining a partial network pattern match of the data network subnetwork to the model data network subnetwork; and aggregating one or more partial network pattern match to define a network pattern match between the model network and the data network.

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): 0.4715170011969809
- 35 USC 102 Novelty (BERT): 0.5528165701458779
- Combined Prediction Score: 0.4796469580918706
- Mean Citation Score: 229.275394
- Max Citation Score: 409.39645
- Similarity Product: 338.91110923954545

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