9th IEEE International Workshop on Network Science for Communication Networks (NetSciCom)
Monday, 1 May 2017 ● 13:30-17:00 ● Room: Georgia 9
Network Science models the structure and dynamics of a wide variety of large-scale complex networks, including Internet connectivity, the WWW, peer-to-peer networks, and online social networks. Of particular relevance to the INFOCOM community, the design of efficient large-scale communication networks such as the Internet requires researchers to understand the interdependency between the underlying physical network and the information and social networks that it intends to support. This effort will require intimate knowledge of the emergent network properties, phase transitions, and dynamics of the component networks, as well as new research into the interaction between networks. A deeper understanding of such interdependency can only be achieved by closer interaction between network scientists, communication network designers, and social and behavioral scientists.
The goal of this workshop is to provide a forum where this diverse group of researchers can come together and exchange ideas that will lead to insights into the design of robust, efficient and complex networks of the future.
Chairs:
Nicole Immorlica (MSR, USA)
Stefan Schmid (Aalborg University, Denmark)
13:30 – 13:45
Opening
Nicole Immorlica and Stefan Schmid
13:45 – 15:00 Chairs: Nicole Immorlica and Stefan Schmid
Keynote: Dana Randall (Georgia Institute of Technology, USA)
Phase Transitions and Emergent Phenomena in Random Structures and Algorithms
15:30-16:25: Session 1: Graphs and Topologies
Topology Inference of Multilayer Networks
Panagiotis A. Traganitis, Yanning Shen and Georgios B. Giannakis (University of Minnesota, USA)
Multiple Graph Abstractions for Parallel Routing over Virtual Topologies
Ahmet Soran (University of Nevada, Reno, USA); Murat Yuksel (University of Central Florida, USA); Mehmet Hadi Gunes (University of Nevada, Reno, USA)
Re-mapping the Internet: Bring the IXPs into Play
Pavlos Sermpezis and George Nomikos (FORTH, Greece); Xenofontas Dimitropoulos (FORTH-ICS, Greece)
16:30-17:25: Session 2: Dealing with Complexity
On the "Familiar Stranger'' Phenomenon in a Large-scale VoD System
Chen Zhang and Yuedong Xu (Fudan University, P.R. China); YiPeng Zhou (Shenzhen University, P.R. China); Xiaoming Fu (University of Goettingen, Germany)
Controlled Growth of Simplicial Complex Networks
Alexey Nikolaev (The Graduate Center, CUNY, USA); Saad Mneimneh (Hunter College, the City University of New York, USA); Amotz Bar-Noy (Brooklyn College & Graduate Center, CUNY, New York, USA); Ram Ramanathan (BBN Technologies, USA)
Predicted Max Degree Sampling: Sampling in Directed Networks to Maximize
Node Coverage through Crawling
Ricky Laishram, Katchaguy Areekijseree and Sucheta Soundarajan (Syracuse University, USA)
17:25-17:30: Wrapup
Monday, 1 May 2017 ● 13:30-17:00 ● Room: Georgia 9
Network Science models the structure and dynamics of a wide variety of large-scale complex networks, including Internet connectivity, the WWW, peer-to-peer networks, and online social networks. Of particular relevance to the INFOCOM community, the design of efficient large-scale communication networks such as the Internet requires researchers to understand the interdependency between the underlying physical network and the information and social networks that it intends to support. This effort will require intimate knowledge of the emergent network properties, phase transitions, and dynamics of the component networks, as well as new research into the interaction between networks. A deeper understanding of such interdependency can only be achieved by closer interaction between network scientists, communication network designers, and social and behavioral scientists.
The goal of this workshop is to provide a forum where this diverse group of researchers can come together and exchange ideas that will lead to insights into the design of robust, efficient and complex networks of the future.
Chairs:
Nicole Immorlica (MSR, USA)
Stefan Schmid (Aalborg University, Denmark)
13:30 – 13:45
Opening
Nicole Immorlica and Stefan Schmid
13:45 – 15:00 Chairs: Nicole Immorlica and Stefan Schmid
Keynote: Dana Randall (Georgia Institute of Technology, USA)
Phase Transitions and Emergent Phenomena in Random Structures and Algorithms
15:30-16:25: Session 1: Graphs and Topologies
Topology Inference of Multilayer Networks
Panagiotis A. Traganitis, Yanning Shen and Georgios B. Giannakis (University of Minnesota, USA)
Multiple Graph Abstractions for Parallel Routing over Virtual Topologies
Ahmet Soran (University of Nevada, Reno, USA); Murat Yuksel (University of Central Florida, USA); Mehmet Hadi Gunes (University of Nevada, Reno, USA)
Re-mapping the Internet: Bring the IXPs into Play
Pavlos Sermpezis and George Nomikos (FORTH, Greece); Xenofontas Dimitropoulos (FORTH-ICS, Greece)
16:30-17:25: Session 2: Dealing with Complexity
On the "Familiar Stranger'' Phenomenon in a Large-scale VoD System
Chen Zhang and Yuedong Xu (Fudan University, P.R. China); YiPeng Zhou (Shenzhen University, P.R. China); Xiaoming Fu (University of Goettingen, Germany)
Controlled Growth of Simplicial Complex Networks
Alexey Nikolaev (The Graduate Center, CUNY, USA); Saad Mneimneh (Hunter College, the City University of New York, USA); Amotz Bar-Noy (Brooklyn College & Graduate Center, CUNY, New York, USA); Ram Ramanathan (BBN Technologies, USA)
Predicted Max Degree Sampling: Sampling in Directed Networks to Maximize
Node Coverage through Crawling
Ricky Laishram, Katchaguy Areekijseree and Sucheta Soundarajan (Syracuse University, USA)
17:25-17:30: Wrapup