The 2nd Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM), discussing topics such as fake news, social bots, disinformation, filter bubbles, virality and deep fake will take place in Leiden from April 20-22, 2020. It aims to bring […]
The 5th edition of IC²S² took place from July 17 to 20, 2019 at the University of Amsterdam, the Netherlands. Over 480 participants from 40 countries attended the conference, tutorials and accompanying events, such as a warmup event, job fair […]
Springer’s Information Retrieval Journal will feature a special issue on Mining User Generated Content. Consider submitting your original research papers to this special issue! The deadline for submission is November 4, 2019. See the special issue website for more details.
On October 2, 2019, sunny Santa Clara, California (US) will be the scene for the 3rd International Workshop on Mining Actionable Insights from Social Networks (MAISoN). We welcome original submissions on topics related to social network mining and related fields. […]
The Dutch Network Science Society is a society aimed at bringing together researchers in the Netherlands working on the topic of network science; the extraction of knowledge and insights from theoretical and empirical analysis of complex networks. As of its […]
I am an assistant professor in computational network science at LIACS, the computer science department of Leiden University and research fellow in computational social science at the UvA CORPNET group.
My research interest is network science (also called social network analysis or complex networks). I lead the Leiden Computational Network Science Lab, a group working on methods and algorithms for knowledge discovery from (social) network data. My focus is in particular on higher order patterns such as network communities and network motifs.
Through various projects, I also work on real-world applications, e.g., online social networks, online media, criminal networks, corporate networks, networks in finance, economics, science and infrastructure.