The algorithm behind viral marketing: a tutorial about Influence Maximization in Online Social Networks at WSDM 2018

The idea of viral marketing is simple yet appealing: by targeting the most influential users in a online social network, one can exploit the power of the network effect through word-of-mouth, thus delivering the marketing message to a large portion of network. In some way, it's something similar to the spread of a virus.

The key algorithmic problem behind this process is called “influence maximization”, and it is going to be analyzed in a tutorial at WSDM 2018 , by ISI Foundation Researcher Cigdem Aslay (ISI Algorithmic Data Analytics Lab), with Laks V.S. Lakshmanan (The University of British Columbia), Wei Lu (LinkedIn Corporation), and Xiaokui Xiao (National University of Singapore). “Influence Maximization in Online Social Networks” will cover major algorithmic and theoretical developments and issues arising in the field, with a focus in data mining and databases communities.

WSDM 2018 (pronounced “wisdom”) is one of the premier global conferences on web inspired research involving search and data mining. It is held at the Ritz-Carlton, Marina del Rey, in Los Angeles (California, US) from February 5 to February 9, 2018. This year's program will include keynotes and invited talks, paper presentations, workshops, tutorials, with an emphasis on practical but principled novel models of search, retrieval and data mining, algorithm design and analysis, economic implications, and in-depth experimental analysis of accuracy and performance.

         
Influence Maximization in Online Social Networks, WSDM 2018 – The 11th ACM International Conference on Web Search and Data Mining, Los Angeles (California). Ritz-Carlton, Marina del Rey, Ballroom Terrace, February 5, 2018, 9:00. Info: http://www.wsdm-conference.org/2018/tutorials.html