This paper addresses several key issues in the ArnetMiner system, which aims at extracting and mining academic social networks. Specifically, the system focuses on: 1) Extracting ...
Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zha...
Advances in location-enhanced technology are making it easier for us to be located by others. These new technologies present a difficult privacy tradeoff, as disclosing one's...
Sunny Consolvo, Ian E. Smith, Tara Matthews, Antho...
—The success of future P2P applications ultimately depends on whether users will contribute their bandwidth, CPU and storage resources to a larger community. In this paper, we pr...
Zhengye Liu, Hao Hu, Yong Liu, Keith W. Ross, Yao ...
Social media sites such as Twitter continue to grow at a fast pace. People of all generations use social media to exchange messages and share experiences of their life in a timely...
Large volumes of content (bookmarks, reviews, videos, etc.) are currently being created on the "Social Web", i.e. on Web 2.0 community sites, and this content is being a...
Uldis Bojars, John G. Breslin, Aidan Finn, Stefan ...