王成军参加了在西北工业大学举办的2017年网络与数据科学前沿论坛，并做了题为Leveraging the Flow of Collective Attention for Computational Communication Research的会议发言。

王成军 (2017）Leveraging the Flow of Collective Attention for Computational Communication Research. 2017年网络与数据科学前沿论坛，2017年11月11-12日，西北工业大学，国际会议中心第二会议室，西安，中国

Abstract

Human attention becomes an increasingly scarce resource in the age of information explosion. To better understand the flow of collective attention, we construct the attention flow network using anonymous smartphone data of 100,000 users in a major city of China. In the constructed network, nodes are websites visited by users, and links denote the switch of users between two websites. We find a strong concentration of collective attention allocated to popular websites for smartphone users, and strong scaling relationships for the flow of collection attention in the flow networks. Especially, there is a centralized flow structure, the website of large traffic can control the circulated collective attention. Finally, we discussed the benefits and limitations of using the flow network analysis for computational communication research.