This paper examines a popular stock message board and finds slight daily predictability using supervised learning algorithms when combining daily sentiment with historical price information. Additionally, with the profit potential in trading stocks, it is of no surprise that a number of popular...

An inter-firm relationship of paramount importance is captured by supply chain networks.Embedded in such a network, a firm’s performance is associated with its partners’ and peers’performance. This paper proposes an end-to-end predictive framework named Hybrid andTemporal Graph Neural...

In today’s interconnected business world, firms are part of a much larger interconnected supply chain network. Individual firms are not working in isolation but rather depend on, build, and leverage the connected nature of the supply chain network. In fact, an individual firm’s performance...

Social media represent powerful tools of mass communication and information diffusion. They played a pivotal role during recent social uprisings and political mobilizations across the world. Here we present a study of the Gezi Park movement in Turkey through the lens of Twitter. We analyze over...

Bots (short for software robots) have been around since the early days of computers. One compelling example of bots is chatbots, algorithms designed to hold a conversation with a human, as envisioned by Alan Turing in the 1950s. The dream of designing a computer algorithm that passes the Turing...