GRCC In the News, 4-5-17

Assault victim’s family asks tipsters to come forward

April 4, 2017; WOOD TV

GRAND RAPIDS, Mich. (WOOD) — Family members of a young man who died following an assault gathered Tuesday to make a public statement for the first time since the incident happened.

… (Julius) Vinson was a student at Grand Rapids Community College studying business, his family said. He had plans to get involved in real estate.

April learning opportunities

Join us for this month’s great learning opportunities! To register, please visit http://grcc.edu/humanresources/staffdevelopment/learningopportunitiesregistration. Here’s what we have in store:

  • Collaboration with the Brain in Mind, April 11: Learn some basic concepts about the social nature of the brain, how we manage threat and reward in the workplace, and how to create an environment that fosters free thinking and collaboration!
  • Ethics at GRCC, April 12: Our very own Kimberly DeVries explains our ethical standards and how they are applied. A great session for those new to campus, or those who would like to gain more information
  • The Neuroscience of Influence, April 18: How do ideas and values spread? The answers lie inside our brains. Neuroscience is generating new insight into the ways in which we influence one another.

Mathematics Seminar is today

The Grand Rapids Community College Mathematics Department is pleased to announce that it will host its next Mathematics Seminar on Wednesday, April 5, 3:00-4:00 PM in 103 Cook.  Our speaker will be former GRCC mathematics student Duy Duong-Tran.  His topic is Community Structure in Networks.  The title and abstract may be found below.

Community structures have been studied by sociologists since the 1930s.  Mathematicians got involved in the 1950s, and tremendous growth in the use of social media has made this a popular area of mathematical study.  Parts of this talk may require knowledge of non-elementary mathematics, but, as always, everyone is invited to attend.

Pop and cookies will be served at 2:45 PM.

 Community Structure in Networks

The past two decades have witnessed tremendous growth in complex network analysis, as social and biological interactions, and the world-wide web, can be modeled in this framework. In this talk, we will survey different methodological approaches used to analyze community (cluster) structure in complex networks. We will also look at classical bi-section (two-cluster) network models and apply algebraic Eigen decomposition to analyze such networks.