Prof. Won-Yong Shin from Dankook University visited our laboratory who is an ex-colleague of Prof. Ishibashi at Harvard university. He gave us an exciting and impressive talk and shared his recent results with us. The title and abstract of his talk were as follows:
Title : Huge Challenges on Twitter Analytics Using Geolocation Abstract : Research in the field of online social networks (OSN) has grown dramatically with the evolution of technologies while harvesting Big Data. Twitter is one of the most popular micro-blogs (or social media). In this talk, I’m going to briefly explain how to perform data collection and processing from the Twitter network via Twitter Streaming API. Next, I’m going to show two recent results analyzed based on geo-tagged tweets. First, I characterize a newly discovered friendship degree according to geographic distance by introducing a new definition of “bidirectional friendship”. The study demonstrates the fact that the number of friends according to distance follows a double power-law (i.e., double Pareto law) distribution. Second, I introduce a low-complexity algorithm that detects a “point-of-interest (POI)” boundary. Detected boundaries are shown along with a variety of POI types, and it is verified that the runtime complexity scales linearly with the input size.
Shun Ogata, our member, gave a presentation entitled “Frameless ALOHA with Multiple Base Stations” at 49th Asilomar conference on signals, systems and computers held at Asilomar Conference Grounds, CA, the United States on Nov. 9th.
11月9日，米国Asilomar Conference Groundsで開催された49th Asilomar conference on signals, systems and computerにおいて，M2尾形駿君が”Frameless ALOHA with Multiple Base Stations”と題して発表を行いました．
Our paper “Diversity-Multiplexing Tradeoff of Dynamic Harvest-and-Foward Cooperation” has been accepted for publication in the IEEE Wireless Commun. Lett, which was co-authored with Prof. I. Krikidis and Dr. C. K. Ho.