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.
Oct 24
2016
Conference Date
Draft paper submission deadline
Draft Paper Acceptance Notification
Final Paper Deadline
Registration deadline
2017-04-03 Australia Perth
2nd International Workshop On Big Network Analytics
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