Our world is networked: people are closer to each other through online social network services or mobile communication networks, while information is capable to be exchanged faster by World Wide Web or email networks. The network is a treasure trove of user experiences and knowledge that presents great opportunities to understand the fundamental science of our world. On the other hand, the network, with huge amount of data, and multiple types of entities (e.g., users, documents, organizations, etc.), user behaviors, and relations between entities, has become so large and complex that traditional methodologies are inadequate.
Novel algorithms for handling large-scaled networking data;
Data integration from multiple networks;
Clustering and ranking methods for big networks;
Large-scaled link prediction algorithms;
User influence analysis algorithms or information diffusion models;
Community detection in big networks;
Event detection and evolution analysis;
Graph based recommendations for web marketing or advertising
Visualization for big network data;
Suspicious behavior detection;
Representation learning for big networks;
Applications and platforms for social network.
10月24日
2016
会议日期
初稿截稿日期
初稿录用通知日期
终稿截稿日期
注册截止日期
2017年04月03日 澳大利亚 Perth
第二届大网络分析国际研讨会
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