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首页> 外文会议>2013 IEEE International Conference on Emerging Trends in Computing, Communication and Nanotechnology >Sociocentric and egocentric measures for identifying the key players in telecom social network
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Sociocentric and egocentric measures for identifying the key players in telecom social network

机译：以社会为中心和自我为中心的措施，以识别电信社交网络中的关键参与者

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摘要

Telecom Social Network Analysis (TSNA) is an upcoming and interesting area of concern in telecom industries since it not only helps in exploring the information regarding the social network of subscribers but also helps the operators' to focus on their business analytics. TSNA is being used to give a solution to some of the telecom problems such as to improve churn prediction, overall customer satisfaction and retention. Since the structure of social networks provides the natural way to understand customers' relationships and the behavior of groups of highly connected customers. The typical work on social network analysis includes the construction of both multirelational telecom social networks and ego-networks of telecom customers for discovery of group of customers who share similar properties and classify the customers as churners and non-churners. This paper explores both sociocentric and egocentric methods for identifying key players who plays important roles in decision making in finding the churn rate of telecom social networks.
机译：电信社交网络分析（TSNA）是电信行业中一个即将出现且有趣的领域，因为它不仅有助于探索有关订户社交网络的信息，而且还有助于运营商专注于其业务分析。 TSNA用于解决一些电信问题，例如改善客户流失预测，总体客户满意度和保留率。由于社交网络的结构提供了一种自然的方式来了解客户的关系和高度关联的客户群体的行为。社交网络分析的典型工作包括构建多关系电信社交网络和电信客户自我网络，以发现共享相似属性并将客户分类为搅局者和非搅局者的客户群。本文探讨了以社会为中心和以自我为中心的方法，以识别在决策中扮演重要角色的关键参与者，这些关键角色在寻找电信社交网络的流失率方面。

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