We live in an increasingly networked world, especially with the blessing of information technology, we are all connected with one another in various online networks. Our computers are connected via Internet; we communicate with our family, friends, colleagues, partners, customers, etc. via email networks, instant messaging networks, mobile communication networks; we browse and search for useful information on the web; we share our interest, our status, and our thoughts on online social networks. These online networks grow fast and possess huge amount of recorded information, which presents great opportunities in understanding the science of these big networks, and in developing new applications from these networks and for these networks. However, new challenges have to be met --- the networks are huge and information is noisy, and these demand new methodologies in analyzing them, and in developing theories and applications for the big networks. This requires collective efforts of researchers with diverse expertise such as theory and algorithms, data mining, machine learning, statistics, complex systems, economics, sociology, etc. to tackle the problem together. This workshop serves as a forum to bring together people from various fields who are studying social and information networks to exchange their latest research results and to sparkle new ideas and directions in the study of networks.

The BigNet workshop focuses on the intersection of computations and networks. It invites researchers from all over the world who study social and information networks and their computation issues to share their research and insights into questions such as:

• What are the features of these networks?

• Why do they exhibit such features?

• How do networks form and evolve and can we model their formation and evolution?

• What kinds of hidden information can we extract and how?

• What kinds of activities and events can we predict from the network and how?

• How does information flow in the network?

• How can we do effective computations on such large networks?

The WWW 2017 edition of BigNet invites leading experts in the area from all over the world. Thus, it serves also as a networking event both for connecting researchers from diverse research areas such as algorithms, data mining, and machine learning, and for connecting researchers from different geographic regions.