IEEE Transactions on Signal and Information Processing over Networks

Depending on the initial adopters of an innovation, it can either lead to a large number of people adopting that innovation or, it might die away quickly without spreading. Therefore, an idea central to many application domains, such as viral marketing, message spreading, etc., is influence maximization: selecting a set of initial adopters from a social network that can cause a massive spread of an innovation (or, more generally an idea, a product or a message).

Special Announcements:

We are pleased to announce that, as of January 2019, the IEEE Transactions on Signal and Information Processing over Networks has formally been accepted for indexing by the Clarivate Analytics Web of Science.

Articles published in TSIPN as of March 2016 will be covered in the following Clarivate Analytics products:

Editor-in-Chief:
Pascal Frossard
Signal Processing Laboratory (LTS4)
School of Engineering, EPFL
Lausanne, Switzerland
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