Prof. Boleslaw K. Szymanski presented the invited paper "A Reaction-Based Approach to Information Cascade Analysis," by James Flamino and himself at the 2019 IEEE ICCCN in Valencia, Spain.

Prof. Boleslaw K. Szymanski presented the invited paper "A Reaction-Based Approach to Information Cascade Analysis," by James Flamino and himself at the 2019 IEEE International Conference on Computer Communication and Networking on August 1, in Valencia, Spain. The talk focused on processing online social media that provides massive open-ended platforms for users of a wide variety of backgrounds, interests, and beliefs to interact and debate, facilitating countless information cascades across many subjects. With numerous unique voices being lent to the ever-growing information stream, it is essential to consider the question: how do the many types of conversations within an information cascade characterize the process as a whole? In this paper we analyze the underlying features of the dynamics of communication, and use those features to explain the inherent properties of the encompassing information cascade. Utilizing ”microscopic” trends to describe ”macroscopic” phenomena, we set a paradigm for analyzing information dissemination through the individual user interactions that sprout from a source topic, instead of trying to interpret the emergent patterns themselves. This paradigm yields a set of unique tools for a myriad of application in the field of information cascade analysis: from topic classification of sources to time-series forecasting. These tools were used to process a 88-million-row dataset for Reddit to show their conceptual effectiveness and accuracy when
compared to the ground truth.
The paper on which the talk was based is published by IEEE Press in Proceedings of the 2019 IEEE ICCCN, Valencia, Spain, July 29 - August 1, pp. 1-9.