SBIR Phase I: Large-Scale Social Network Analysis Software Services for the Telecommunications Industry

这个小型企业创新研究第一阶段项目将调查使用呼叫日志数据的潜力，以帮助电信行业更好地为客户服务。通话记录（谁打电话给谁的记录）可以被视为社交网络，电话号码代表顶点，电话呼叫代表边。了解客户的社交网络可以更好地了解他们的行为和偏好。这个项目的技术挑战是统计和计算。由于电信行业为大量客户提供服务，因此他们的数据集非常庞大。例如，在一个月内，一家主要的电信运营商记录了2.5亿个电话号码之间的120亿次电话通话。技术目标是：1）进一步开发用于超大规模网络分析的新兴计算平台，2）验证算法和程序，量化运营商营销活动的有效性。其目标是创建软件和服务产品，旨在利用电信公司自己的通话记录，以帮助他们更好地价值，服务和留住他们的客户。人们认为，电信行业忽视了他们拥有的最丰富的数据：通话记录本身。电信运营商不仅拥有关于个人的信息，而且还拥有关于他们的呼叫行为、他们的社区以及他们的社区的呼叫行为的信息。一家主要运营商通常为超过1500万客户提供服务;鉴于用户数量庞大，运营商必须依靠统计分析来监测客户满意度并预测客户需求。提高这方面的知识将使他们能够优化他们的产品营销，改善他们的客户服务战略，更有效地利用他们的广告预算，并预测“流失”，停止服务。移动的电话市场目前在全球拥有超过40亿用户。虽然过去十年有了显著的增长，但大多数市场已经达到饱和;移动的电话运营商现在正在将重点从增长转向有效的客户保留战略。这一战略转变为将数据挖掘技术应用于通话记录提供了一个机会，通话记录是迄今为止尚未被业界使用的丰富资源。该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。

This Small Business Innovation Research Phase I project will investigate the potential of using call log data to assist the telecommunications industry in better serving its customers. Call logs (records of who called whom) can be viewed as social networks, with phone numbers representing vertices and phone calls representing edges. Understanding a customer's social network can potentially provide a much better understanding of their behavior and preference. The technical challenge of this project is both statistical and computational. As the telecommunications industry serves a very large number of customers, their data sets are massive. In the single month, for example, a major telecommunications provider logged 12 billion phone calls made between 250 million phone numbers. The technical objectives are: 1) to further develop s nascent computational platform for extremely large-scale network analysis, and 2) to validate algorithms and procedures, which quantify the effectiveness of operator marketing campaigns. The goal is to create s software-and-services product offering designed to leverage telecom companies' own call logs to help them better value, serve and retain their customers. It is believed that the telecommunications industry has overlooked the richest data in their possession: the call logs themselves. A telecommunications operator has information not just on individuals, but on their calling behavior, their communities, and their communities' calling behavior. A single major operator typically serves over 15 million customers; given the sheer number of subscribers, operators must rely on statistical analysis to monitor customer satisfaction and to anticipate customer needs. Enhancing this knowledge will allow them to optimize their product marketing, to improve their customer care strategies, to more efficiently use their advertising budget, and to anticipate "churn," the cessation of service. The mobile phone market currently reaches over 4 billion subscribers globally. While the past decade has seen significant growth, most markets have reached saturation; mobile phone operators now are shifting their focus from growth to efficient customer retention strategies. This shift in strategy presents an opportunity to apply data mining techniques to call logs, a rich resource that to date has remained unused by the industry.This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).