PATENT CLAIM ANALYSIS

Application Number: 16205905
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-04
Patent Classification: ["709", "203000"]

Abstract:
A method for predicting the behavior of an electronic social network (ESN) includes identifying one user's connections with other users and creating a data structure in a memory that represents the users and their connections in the ESN. A plurality of data sources for electronic communications between users are analyzed and assigned a relative importance value. A weight is also assigned to each of the connections between the users. The weight is an encoded value computed based on a link structure of the connections where the link structure includes metadata indicating a category and a status of the respective connection. The probability that one user will communicate with one of the other users is calculated based on the analyzed plurality of data sources calculating, and the user's connections with respect to other users are ranked based on the calculated probabilities.

Claim (Index 11):
The method of  claim 8 , wherein analyzing, by the electronic apparatus, the plurality of data sources for electronic communications between the one user and the other users further includes weighting, by the electronic apparatus, electronic communications data from each data source of the plurality of data sources based on an assigned relative importance value assigned to each data source.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 98.0
- Lexical Diversity: 2.11268
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15431136', '13779321', '14294362', '15288567', '12424871']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2908162795752729
- 35 USC 102 Novelty (BERT): 0.5186859375679792
- Combined Prediction Score: 0.3136032453745435
- Mean Citation Score: 226.29352000000003
- Max Citation Score: 342.421
- Similarity Product: 313.33438722682

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

Dataset: test