We propose a “visual listening in” approach (i.e., mining visual content posted by users) to measure how brands are portrayed on social media. Using a deep-learning framework, we develop BrandImageNet, a multi-label convolutional neural network model, to predict the presence of perceptual...

In this paper we analyze the network structure of stocks (as actors in a 2-mode/affiliation social network) and their relationship to mutual funds. The analysis reveals a network structure that has both the “hub” and “small world” characteristics of many common social and physical...

Understanding online consumers and their buying behavior had been the major focus for marketers and gained special attention among the marketing science researchers for over three decades. The purpose of this research is to investigate the past and current trends in online consumer behavior...