Abstract: Embodiments herein provide a method and system that determines an underlying social network from user interaction graphs based on mobile service usage and derive social influence scores for various contexts based on user interaction parameters. The present disclosure pertains to a method of determining social influence score for a user of a social network, said method comprising creating, using a social network analyzer, a social graph based on usage data generated by a plurality of users, said usage data being obtained from a mobile communication network, wherein vertices of the created social graph represent the plurality of users along with edge weights that are based on weighted linear or non-linear combinations of key performance indicators (KPIs) representing actions made by each user; and deriving, by the social network analyzer, influencer score for each user in the social graph based on user interactions from online social networks and mobile interaction patterns.

Abstract: Systems and methods for management of multi-perspective customer segments. This invention relates to customer management, and more particularly to management of customer segments, wherein the customer segments can be multi-perspective. Embodiments herein disclose methods and systems for generating multiple sets of clusterings of customers based on at least one customer attribute, and combining and interactively visualizing the clusterings, to derive insights.

Abstract: A Quick Application Launch System that serves for rapid launch of varied types of applications in a range of Portable Computing Devices. The quick application launch system includes a Mobile Server Platform (MSP) and a Client Application Unit (CAU).

Abstract: Systems and methods for management of multi-perspective customer segments. This invention relates to customer management, and more particularly to management of customer segments, wherein the customer segments can be multi-perspective. Embodiments herein disclose methods and systems for generating multiple sets of clusterings of customers based on at least one customer attribute, and combining and interactively visualizing the clusterings, to derive insights.