Abstract: A method and an apparatus for identifying a transaction risk are disclosed. The method includes obtaining risk identification information of a sub-network to which a node relating to a transaction to be identified belongs; and identifying a risk of the transaction to be identified based on the risk identification information of the sub-network to which the node relating to the transaction to be identified belongs, wherein the sub-network is a network acquired by partitioning a relationship network based on connectivity, the relationship network is a network built up with entities and activities relating to a plurality of transactions.

Abstract: An information sending method is provided. The method includes determining, by the apparatus, an interaction setting between a first terminal device and a second terminal device; determining a service index of the first terminal device based on the interaction setting between the first terminal device and the second terminal device; determining information to send based on the service index; and sending the determined information to the first terminal device.

Abstract: Methods, apparatuses, and devices for processing a service, including computer programs encoded on computer storage media are provided. One of the methods includes: receiving an application sent from a user terminal of a first user comprising a commitment; verifying a credit value of the first user; in response to the credit value reaching a predetermined credit value, accepting the application of the first user; and in response to the first user failing to fulfill the commitment, triggering a balance compensation process to cause the first user to send a balance resource to the second user by a deadline.

Abstract: A method and an apparatus for identifying a transaction risk are disclosed. The method includes obtaining risk identification information of a sub-network to which a node relating to a transaction to be identified belongs; and identifying a risk of the transaction to be identified based on the risk identification information of the sub-network to which the node relating to the transaction to be identified belongs, wherein the sub-network is a network acquired by partitioning a relationship network based on connectivity, the relationship network is a network built up with entities and activities relating to a plurality of transactions.

Abstract: An information sending method is provided. The method includes determining, by the apparatus, an interaction setting between a first terminal device and a second terminal device; determining a service index of the first terminal device based on the interaction setting between the first terminal device and the second terminal device; determining information to send based on the service index; and sending the determined information to the first terminal device.

Abstract: A method and an apparatus for identifying a transaction risk are disclosed. The method includes obtaining risk identification information of a sub-network to which a node relating to a transaction to be identified belongs; and identifying a risk of the transaction to be identified based on the risk identification information of the sub-network to which the node relating to the transaction to be identified belongs, wherein the sub-network is a network acquired by partitioning a relationship network based on connectivity, the relationship network is a network built up with entities and activities relating to a plurality of transactions.

Abstract: An information sending method is provided. The method includes calculating a weight of an interaction setting between a first terminal device and a second terminal device, calculating a relational score based on the weight between the first terminal device and the second terminal device, the second terminal device being one or more second terminal devices, calculating a service index of the first terminal device based on the relational score, and sending information to the first terminal device based on the service index.

Abstract: Methods, apparatuses, and devices for processing a service, including computer programs encoded on computer storage media are provided. One of the methods includes: receiving an application sent from a user terminal of a first user comprising a commitment; verifying a credit value of the first user; in response to the credit value reaching a predetermined credit value, accepting the application of the first user; and in response to the first user failing to fulfill the commitment, triggering a balance compensation process to cause the first user to send a balance resource to the second user by a deadline.

Abstract: A computer-implemented method includes determining, by one or more processing devices, that a credit rating of a first user does not satisfy a permission condition of the service; generating, by the one or more processing devices, an assistance request shareable with at least a second user, the assistance request including a request for the second user to authorize use of a credit rating of the second user to endorse the first user; displaying assistance progress information representing a relative status with respect to a goal; receiving, by the one or more processing devices, information indicating the second user's authorization; and determining, by the one or more processing devices, an update to the relative status, the updated relative status being determined based on respective credit ratings of the first user and the second user.

Abstract: An information sending method is provided. The method includes calculating a weight of an interaction setting between a first terminal device and a second terminal device, calculating a relational score based on the weight between the first terminal device and the second terminal device, the second terminal device being one or more second terminal devices, calculating a service index of the first terminal device based on the relational score, and sending information to the first terminal device based on the service index.

Abstract: A user data sharing method comprises: acquiring information of a query medium; obtaining, according to the information of the query medium, at least one user account related to the query medium and relationship information of the at least one user account from a medium network, the relationship information of the user account comprising: a strength of a relationship between the user account and the query medium and a strength of a relationship between the user account and other user accounts; constructing a local medium network by using the obtained at least one user account and relationship information of the at least one user account; determining a trusted account from the at least one user account by using the local medium network; and acquiring user data of the trusted account and outputting the user data of the trusted account as the user data corresponding to the information of the query medium.

Abstract: An information sending method is provided. The method includes calculating a weight of an interaction setting between a first terminal device and a second terminal device, calculating a relational score based on the weight between the first terminal device and the second terminal device, the second terminal device being one or more second terminal devices, calculating a service index of the first terminal device based on the relational score, and sending information to the first terminal device based on the service index.

Abstract: A basic relationship weight between each pair of objects in an object group is adjusted to obtain a new object relationship weight, where the object group includes a plurality of objects. For each object in the object group, a transmissibility value is determined based on the new object relationship weight associated with the object. An activeness value is determined based on a service activity parameter associated with the object in a service. An influence value is determined based on the activeness value and the transmissibility value, where the influence value indicates a degree of influence of the object to one or more objects in the object group. At least one object is selected from the object group as a target object, where the influence value associated with the at least one object is greater than a predetermined threshold.

Abstract: An information sending method is provided. The method includes calculating a weight of an interaction setting between a first terminal device and a second terminal device, calculating a relational score based on the weight between the first terminal device and the second terminal device, the second terminal device being one or more second terminal devices, calculating a service index of the first terminal device based on the relational score, and sending information to the first terminal device based on the service index.

Abstract: A method and an apparatus for identifying a transaction risk are disclosed. The method includes obtaining risk identification information of a sub-network to which a node relating to a transaction to be identified belongs; and identifying a risk of the transaction to be identified based on the risk identification information of the sub-network to which the node relating to the transaction to be identified belongs, wherein the sub-network is a network acquired by partitioning a relationship network based on connectivity, the relationship network is a network built up with entities and activities relating to a plurality of transactions.

Abstract: An information sending method is provided. The method includes calculating a weight of an interaction setting between a first terminal device and a second terminal device, calculating a relational score based on the weight between the first terminal device and the second terminal device, the second terminal device being one or more second terminal devices, calculating a service index of the first terminal device based on the relational score, and sending information to the first terminal device based on the service index.

Abstract: A method and an apparatus for identifying a transaction risk are disclosed. The method includes obtaining risk identification information of a sub-network to which a node relating to a transaction to be identified belongs; and identifying a risk of the transaction to be identified based on the risk identification information of the sub-network to which the node relating to the transaction to be identified belongs, wherein the sub-network is a network acquired by partitioning a relationship network based on connectivity, the relationship network is a network built up with entities and activities relating to a plurality of transactions.

Abstract: A basic relationship weight between each pair of objects in an object group is adjusted to obtain a new object relationship weight, where the object group includes a plurality of objects. For each object in the object group, a transmissibility value is determined based on the new object relationship weight associated with the object. An activeness value is determined based on a service activity parameter associated with the object in a service. An influence value is determined based on the activeness value and the transmissibility value, where the influence value indicates a degree of influence of the object to one or more objects in the object group. At least one object is selected from the object group as a target object, where the influence value associated with the at least one object is greater than a predetermined threshold.

Abstract: A user data sharing method comprises: acquiring information of a query medium; obtaining, according to the information of the query medium, at least one user account related to the query medium and relationship information of the at least one user account from a medium network, the relationship information of the user account comprising: a strength of a relationship between the user account and the query medium and a strength of a relationship between the user account and other user accounts; constructing a local medium network by using the obtained at least one user account and relationship information of the at least one user account; determining a trusted account from the at least one user account by using the local medium network; and acquiring user data of the trusted account and outputting the user data of the trusted account as the user data corresponding to the information of the query medium.

Abstract: Social network behavior data of two network subjects whose social relationship type is required to be determined is obtained. The network social behavior data of the two network subjects to be determined is discretized by a preset manner in such a way that each of the social behavior is discretized into N levels according to a quantity of each social network behavior. A merged probability of each social relationship type to which the two network subjects belong is calculated according to a conditional probability that each level of network social behavior corresponds to each social relationship type. A social relationship type having the largest merged probability is initially determined as a social relationship type of the two network subjects. The present techniques effectively utilized network social behavior data, implement determination of social relationship type, and improve user network experiences.