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» Discovering communities in complex networks
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ESWS
2007
Springer
14 years 2 months ago
Extracting Social Networks Among Various Entities on the Web
Abstract. Social networks have recently attracted much attention for their importance to the Semantic Web. Several methods exist to extract social networks for people (particularly...
Jin Yingzi, Yutaka Matsuo, Mitsuru Ishizuka
TMC
2008
146views more  TMC 2008»
13 years 8 months ago
General Network Lifetime and Cost Models for Evaluating Sensor Network Deployment Strategies
In multihop wireless sensor networks that are often characterized by many-to-one (convergecast) traffic patterns, problems related to energy imbalance among sensors often appear. S...
Zhao Cheng, Mark A. Perillo, Wendi B. Heinzelman
IJSSOE
2010
153views more  IJSSOE 2010»
13 years 5 months ago
SLIM: Service Location and Invocation Middleware for Mobile Wireless Sensor and Actuator Networks
One of the main obstacles to the adoption of Wireless Sensor Networks (WSNs) outside the research community is the lack of high level mechanisms to easily program them. This probl...
Gianpaolo Cugola, Alessandro Margara
WINET
2010
129views more  WINET 2010»
13 years 6 months ago
Characterizing 802.11 wireless link behavior
Since wireless signals propagate through the ether, they are significantly affected by attenuation, fading, multipath, and interference. As a result, it is difficult to measure ...
Glenn Judd, Peter Steenkiste
WSDM
2012
ACM
283views Data Mining» more  WSDM 2012»
12 years 3 months ago
The life and death of online groups: predicting group growth and longevity
We pose a fundamental question in understanding how to identify and design successful communities: What factors predict whether a community will grow and survive in the long term?...
Sanjay Ram Kairam, Dan J. Wang, Jure Leskovec