The present disclosure relates to generating field-specific health scores for a system of record. Record objects of a system of record corresponding to a data source provider may be accessed. Each record object may correspond to a record object type and have one or more object field-value pairs. Node profiles may be maintained. Each node profile may include one or more node field-value pairs. A subset of node field-value pairs of the node profiles with confidence scores greater than a threshold score may be identified. Node profiles having the subset of node field-value pairs may be identified. Node field-value pairs of the subset may be compared with corresponding object field-value pairs of the record objects. A field-specific health score for each field may be generated based on the comparison.

Various mechanisms are disclosed for a service domain charging system that can interact with underlying networks. A service domain charging architecture is defined with several logical functions. Service-based charging types may be and applied to existing event, session, online, and offline charging mechanisms. Service domain charging messages may be exchanged over the X, Y, Z reference points. An E reference point may be used for interfacing with a service domain billing system, and a B reference point may be used between a service domain billing system and underlying network's billing system.

Systems and methods are directed to monitoring the communications to and from a mobile communication device in accordance with one or more embodiments. For example in accordance with an embodiment, data services a mobile communication device's applications may be monitored against smart contracts stored in a central data center repository and/or written to a blockchain. Other data services may include all forms of communications between the mobile communication device and a third party along with changes to application or data within the mobile communication device. Monitoring the mobile communication device may be done to determine compliance with the smart contracts and whether a penalty or reward on device usage should be applied.

The present disclosure relates to restricting generation and delivery of insights to data source providers. Electronic activities and record objects may be accessed. Each record object may correspond to a record object type and have one or more object field-value pairs. Node profiles may be maintained. Updates to a node graph or corresponding to a record object may be detected. A number of data source providers having respective electronic activities or record objects from which the update to the node graph or corresponding to the record object can be determined. Provisioning of a content item to a second data source provider may be restricted.

Methods, apparatus, and systems for the process-efficient generation of data records for data communications involving groups or aggregates of user equipment (UE), such as IoT devices, are described. In one illustrative example, for each one of a plurality of UEs associated with a group or aggregation identifier (ID), a request which includes data indicative of a network resource usage event of the UE is received and the data are stored in association with the group or aggregation ID. In response to identifying a predetermined condition, the data indicative of the network resource usage events associated with the group or aggregation ID are aggregated, and a request for generating a data record based on the aggregated data is sent to a data function for generating the data record. The generated data record (e.g. a CDR) may be stored for subsequent retrieval for reporting, analysis, network/communications management, or billing.

A telephone communication network analyzes network usage data to find patterns in communications by user of a device in the network. The patterns are analyzed and associated with signals, for example, location, time of day and day of week which are then used to suggest recommended actions to the user. The network usage data may include call data records (CDRs) and Per Call Measurement Data (PCMD), for example. Network elements may send notifications to a client application on the user device. Network elements may also send communication patterns to the client application. Communications analyzed by the network may include voice calls, text messages and IP sessions.

An exposure node (50) receives a first request for resource management for future background data transfer between an application service provider and a plurality of radio terminals (10) from a server (60) associated with the application service provider and send a second request to a policy control node (40) in response to receiving the first request. The first request includes a parameter indicating whether background data transfer not complying with a previously agreed or negotiated transfer policy should be stopped, or whether the background data transfer should continue under a charging rule different from a previously agreed charging rule. The second request includes the parameter obtained from the first request. This enables the application service provider to negotiate with the radio communication network about handling of background data transfer not complying with a previously agreed transfer policy.

The present disclosure relates to systems and methods for assigning node profiles to record objects. The method includes maintaining a plurality of node profiles. The method includes identifying a record object to which to assign a node profile. The method includes selecting a subset of node profiles that satisfy a node profile selection policy. The method includes generating, for each of the subset of node profiles, a performance profile using electronic activities of the node profiles and one or more object field-value pairs of the record object. The method includes determining, for a first node profile, that a match score between the first node profile and the record object based on the performance profile and one or more object field-value pairs of the record object satisfies a threshold. The method includes storing an association between the first node profile and the record object based on the match score.

A method of secure charging for a device-to-device service may comprise: recording charging information of a device-to-device service between a first user equipment and a second user equipment, wherein the charging information is associated at least with the first user equipment; generating a first report comprising the charging information, wherein the first report is protected by a security key of the first user equipment; and sending the first report to a network node by the first user equipment, wherein the first report is used for charging for the device-to-device service together with a second report generated at the second user equipment, and wherein the second report comprises charging information associated at least with the device-to-device service of the second user equipment and is protected by a security key of the second user equipment.

A tariff data determining method and apparatus are disclosed. The method includes: obtaining a call detail record set, wherein each call detail record includes a charging condition, a charging unit and a fee deduction that are under the charging condition; grouping a plurality of call detail records to obtain a call detail record group, wherein a same value corresponding to a charging unit in the call detail record group has a correspondence with a unique fee value corresponding to a fee deduction; analyzing the call detail record group to obtain a data feature; selecting a target tariff model corresponding to the data feature; determining a parameter value corresponding to each tariff parameter in the target tariff model; and determining tariff data based on the parameter value, the target tariff model, and the charging condition.