Abstract: In some example embodiments, a system and method are provided for graph pattern analysis. In example embodiments, pattern data of a primary network that includes data relating to relationships between entities are received. A reference matrix comprising a plurality of secondary network determined based on the pattern data of the primary network is generated. A graphical display of the primary network and the reference matrix are displayed on a user interface. A selection of a secondary network from the plurality of secondary networks of the reference matrix is received. The selected secondary network has similar matching characteristics with at least a portion of the primary network. In response to the selection, the primary network is classified as a classification type related to the selected secondary network.

Abstract: In one example embodiment, a system and method is shown as including identifying a context set data defining a context within which a person resides. Next, an operation is executed so as to retrieve the context set data that includes person data and relationship between persons data, the relationship between persons data including certain characteristics that define the person in the context set. An operation may be executed so as to perform a set operation on the person in the context set so as to generate a graph set. Further, an operation may be executed to render a graphical representation of the context set.

Abstract: In some example embodiments, a system and method are provided for graph pattern analysis. In example embodiments, pattern data of a primary network that includes data relating to relationships between entities are received. A reference matrix comprising a plurality of secondary network determined based on the pattern data of the primary network is generated A graphical display of the primary network and the reference matrix are displayed on a user interface. A selection of a secondary network from the plurality of secondary networks of the reference matrix is received. The selected secondary network has similar matching characteristics with at least a portion of the primary network. In response to the selection, the primary network is classified as a classification type related to the selected secondary network.

Abstract: In some example embodiments, a system and method are provided for graph pattern analysis. In example embodiments, pattern data of a primary network that includes data relating to relationships between entities are received. A secondary network based on the pattern data of the primary network is generated by using an algorithm that processes pattern characteristics extracted from the pattern data. The generated secondary network is provided for further analysis.

Abstract: In one example embodiment, a system and method is shown as including identifying a context set data defining a context within which a person resides. Next, an operation is executed so as to retrieve the context set data that includes person data and relationship between persons data, the relationship between persons data including certain characteristics that define the person in the context set. An operation may be executed so as to perform a set operation on the person in the context set so as to generate a graph set. Further, an operation may be executed to render a graphical representation of the context set.

Abstract: In some example embodiments, a system and method is illustrated as including receiving an indication of a period of time and a recursive operation to segment the period of time. Account data including at least one account identifier and transaction data for the at least one account identifier for the period of time is retrieved. Further, in some example embodiments, a matrix is generated based on the retrieved account data. The recursive operation is executed, whereby the execution results in a graphical effect showing the changes of the transaction data over the period of time.

Abstract: In one example embodiment, a system and method is shown as including identifying a context set data defining a context within which a person resides. Next, an operation is executed so as to retrieve the context set data that includes person data and relationship between persons data, the relationship between persons data including certain characteristics that define the person in the context set. An operation may be executed so as to perform a set operation on the person in the context set so as to generate a graph set. Further, an operation may be executed to render a graphical representation of the context set.

Abstract: In some example embodiments, a system and method is illustrated as including retrieving account data including at least one of an account identifier and transaction data. Further, in some example embodiments, a data structure is generated that includes the account data. Additionally, in some example embodiments, the data structure is sorted where the data structure includes the account data to create a sorted account data structure. In some example embodiments, a sorted account data structure is displayed.

Abstract: In some example embodiments, a system and method are illustrated as including receive pattern data that includes transaction data relating to transactions between persons. Next, the system and method may include building at least one secondary network based upon the pattern data. Additionally, the system and method may include displaying the at least one secondary network.

Abstract: Techniques for presenting career information are described. Consistent with some embodiments, the profile data of members of a social network service is analyzed to generate a set of probabilities for use in predicting career transitions. Based on some profile data (e.g., academic major, academic degree, desired industry, etc.) provided by a user, the derived probabilities are used to predict a set of job titles likely to be of interest to the user. By repeating this process, the user can generate a career path, which is displayed in a visual and interactive manner, enabling the user to explore various aspects of different careers, industries and jobs.

Abstract: In some example embodiments, a system and method are illustrated as including receive pattern data that includes transaction data relating to transactions between persons. Next, the system and method may include building at least one secondary network based upon the pattern data. Additionally, the system and method may include displaying the at least one secondary network.

Abstract: In some example embodiments, a system and method are illustrated as including receive pattern data that includes transaction data relating to transactions between persons. Next, the system and method may include building at least one secondary network based upon the pattern data. Additionally, the system and method may include displaying the at least one secondary network.

Abstract: In an example embodiment, systems and methods to analyze data using a graph is shown. The system receives account information that identifies a first account and generates a first graph based on the first account. The graph includes a first score. Next, the system communicates a first interface to a first agent that is selected from a plurality of agents. The first interface includes the first graph. The first graph represents the first account as a first node. The first graph further represents a first plurality of accounts as a first plurality of nodes that include the first node. The first graph further represents a first plurality of account associations between the first plurality of accounts as a first plurality of edges that connect the first plurality of nodes.

Abstract: In some example embodiments, a system and method are illustrated as including receive pattern data that includes transaction data relating to transactions between persons. Next, the system and method may include building at least one secondary network based upon the pattern data. Additionally, the system and method may include displaying the at least one secondary network.

Abstract: In some example embodiments, a system and method is illustrated as including retrieving account data including at least one of an account identifier and transaction data. Further, in some example embodiments, a data structure is generated that includes the account data. Additionally, in some example embodiments, the data structure is sorted where the data structure includes the account data to create a sorted account data structure. In some example embodiments, a sorted account data structure is displayed.

Abstract: In one example embodiment, a system and method is shown as including identifying a context set data defining a context within which a person resides. Next, an operation is executed so as to retrieve the context set data that includes person data and relationship between persons data, the relationship between persons data including certain characteristics that define the person in the context set. An operation may be executed so as to perform a set operation on the person in the context set so as to generate a graph set. Further, an operation may be executed to render a graphical representation of the context set.