Referral Web: combining social networks and collaborative filtering
Communications of the ACM
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Mining knowledge-sharing sites for viral marketing
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Spreading Activation Models for Trust Propagation
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
Propagation of trust and distrust
Proceedings of the 13th international conference on World Wide Web
Dynamic social network analysis using latent space models
ACM SIGKDD Explorations Newsletter
Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Structure and evolution of online social networks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
On the structural properties of massive telecom call graphs: findings and implications
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Classification in Networked Data: A Toolkit and a Univariate Case Study
The Journal of Machine Learning Research
Attack-resistant trust metrics for public key certification
SSYM'98 Proceedings of the 7th conference on USENIX Security Symposium - Volume 7
A novel evolutionary data mining algorithm with applications to churn prediction
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Neural Networks
Privacy preserving churn prediction
Proceedings of the 2009 ACM symposium on Applied Computing
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Word-of-mouth algorithms: what you don't know will hurt you
Proceedings of the ICMI-MLMI '09 Workshop on Multimodal Sensor-Based Systems and Mobile Phones for Social Computing
The Influence of Customer Churn and Acquisition on Value Dynamics of Social Neighbourhoods
WSKS '09 Proceedings of the 2nd World Summit on the Knowledge Society: Visioning and Engineering the Knowledge Society. A Web Science Perspective
DisTec: Towards a Distributed System for Telecom Computing
CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
Exploring temporal egocentric networks in mobile call graphs
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
In-depth behavior understanding and use: The behavior informatics approach
Information Sciences: an International Journal
Leveraging social networks for corporate staffing and expert recommendation
IBM Journal of Research and Development
Design principles for developing stream processing applications
Software—Practice & Experience - Focus on Selected PhD Literature Reviews in the Practical Aspects of Software Technology
From a stream of relational queries to distributed stream processing
Proceedings of the VLDB Endowment
Role defining using behavior-based clustering in telecommunication network
Expert Systems with Applications: An International Journal
Lessons learned on the usage of call logs for security and management in IP telephony
IEEE Communications Magazine
Social Network Analysis and Mining for Business Applications
ACM Transactions on Intelligent Systems and Technology (TIST)
Social-network influence on telecommunication customer attrition
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Collective classification using heterogeneous classifiers
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
Proceedings of the third international workshop on Cloud data management
Predicting customer churn through interpersonal influence
Knowledge-Based Systems
User modeling for telecommunication applications: experiences and practical implications
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Churn prediction in new users of Yahoo! answers
Proceedings of the 21st international conference companion on World Wide Web
An overview of social network analysis
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Like-Minded communities: bringing the familiarity and similarity together
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Arrival and departure dynamics in social networks
Proceedings of the sixth ACM international conference on Web search and data mining
A Social Network Study of the Apple vs. Android Smartphone Battle
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Collective Churn Prediction in Social Network
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Churn Prediction in a Real Online Social Network Using Local CommunIty Analysis
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
The Activation of Core Social Networks in the Wake of the 22 July Oslo Bombing
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
ChurnVis: visualizing mobile telecommunications churn on a social network with attributes
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Predicting user activity level in social networks
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
The effect of user features on churn in social networks
Proceedings of the 3rd International Web Science Conference
International Journal of Interdisciplinary Telecommunications and Networking
Social network analysis for customer churn prediction
Applied Soft Computing
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Social Network Analysis has emerged as a key paradigm in modern sociology, technology, and information sciences. The paradigm stems from the view that the attributes of an individual in a network are less important than their ties (relationships) with other individuals in the network. Exploring the nature and strength of these ties can help understand the structure and dynamics of social networks and explain real-world phenomena, ranging from organizational efficiency to the spread of information and disease. In this paper, we examine the communication patterns of millions of mobile phone users, allowing us to study the underlying social network in a large-scale communication network. Our primary goal is to address the role of social ties in the formation and growth of groups, or communities, in a mobile network. In particular, we study the 'evolution of churners in an operator's network spanning over a period of four months. Our analysis explores the propensity of a subscriber to churn out of a service provider's network depending on the number of ties (friends) that have already churned. Based on our findings, we propose a spreading activation-based technique that predicts potential churners by examining the current set of churners and their underlying social network. The efficiency of the prediction is expressed as a lift curve, which indicates the fraction of all churners that can be caught when a certain fraction of subscribers were contacted.