This book offers a clear and comprehensive introduction to broad learning one of the novel
learning problems studied in data mining and machine learning. Broad learning aims at fusing
multiple large-scale information sources of diverse varieties together and carrying out
synergistic data mining tasks across these fused sources in one unified analytic. This book
takes online social networks as an application example to introduce the latest alignment and
knowledge discovery algorithms. Besides the overview of broad learning machine learning and
social network basics specific topics covered in this book include network alignment link
prediction community detection information diffusion viral marketing and network embedding.
