37 citations · 42 across the 6 of their papers we have counts for
6 papers
Effects of Network Connectivity and Functional Diversity Distribution on Human Collective Ideation
Yiding Cao, Yingjun Dong, Minjun Kim +5
Human collective tasks in teams and organizations increasingly require participation of members with diverse backgrounds working in networked social environments. However, little i…
Generation and Influence of Eccentric Ideas on Social Networks
Sriniwas Pandey, Yiding Cao, Yingjun Dong +5
Studying extreme ideas in routine choices and discussions is of utmost importance to understand the increasing polarization in society. In this study, we focus on understanding the…
Visualizing Collective Idea Generation and Innovation Processes in Social Networks
Yiding Cao, Yingjun Dong, Minjun Kim +5
Collective idea generation and innovation processes are complex and dynamic, involving a large amount of qualitative narrative information that is difficult to monitor, analyze, an…
Capturing the Production of the Innovative Ideas: An Online Social Network Experiment and "Idea Geography" Visualization
Yiding Cao, Yingjun Dong, Minjun Kim +5
Collective design and innovation are crucial in organizations. To investigate how the collective design and innovation processes would be affected by the diversity of knowledge and…
The Power of Communities: A Text Classification Model with Automated Labeling Process Using Network Community Detection
Minjun Kim, Hiroki Sayama
Text classification is one of the most critical areas in machine learning and artificial intelligence research. It has been actively adopted in many business applications such as c…
Predicting stock market movements using network science: An information theoretic approach
Minjun Kim, Hiroki Sayama
A stock market is considered as one of the highly complex systems, which consists of many components whose prices move up and down without having a clear pattern. The complex natur…