会议名称(中文)： 第三届中国国际通信大会：社交网络和大数据专题研讨会
会议名称(英文)： SNBD: Social Networks and Big Data
所属学科： 计算机应用技术,计算机网络,通信技术
开始日期： 2014-10-13
结束日期： 2014-10-15
所在国家： 中华人民共和国
所在城市： 上海市 黄浦区
主办单位： IEEE Communications Society、中国通信学会
协办单位： 上海交大
[ 重要日期 ]
全文截稿日期： 2014-06-10
[ 会务组联系方式 ]
联系人： Nitin Agarwa
E-MAIL： nxagarwal@ualr.edu
会议网站： http://www.ieee-iccc.org/tsymposia_36_4093684245.pdf
会议背景介绍：
Online social networks are a part of daily life for billions of people worldwide endowing a sense of 'always being connected' to each other. This has generated a deluge of social and behavioral data that constitutes a significant part of the Big Data. Systematic investigations are warranted to achieve a better understanding of social interactions, complex behaviors, contextual patterns, and associated outcomes of interest. Through this symposium, we intend to create a platform bringing together researchers and practitioners from different disciplines such as, computer science, electronics, sociology, economics, psychology to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies.
征文范围及要求：
The goal of this symposium is to highlight new advances and directions in cross‐domain convergence and blending of big data, social networks, and communication networks to address challenges and develop opportunities in the following (but not limited to) topics:
1) Theories/concepts:
Social network/media analysis, theories, models, and applications in advancing
communication networks (and/or vice‐versa)
Social network/media aware protocol design, development, and deployment
Network‐aware search, ranking, and recommendation
Social reputation, influence, and trust
Diffusion and contagion
Knowledge discovery from big data
Big data management and cloud computing 2) Models/methodologies ‐
Knowledge extraction from temporal and spatial data; text and graph data;
structured, semi‐structured, and unstructured data
Mobile social network data collection, analysis, trends, tools, and applications
User activity modeling and exploitation
User profiling and recommendation systems
Privacy and security in networked social applications
Data governance
Performance evaluation
3) Applications
Location‐based services and location‐aware mobile social computing
Citizen sensing applications – mobile sensing for community actions
Resilience of telecommunication and social networks (e.g., during disaster situations, terror attacks, etc.)
Big data and telecommunication network analytics |
