Location recommendation for location-based social networks
In this paper, we study the research issues in realizing location recommendation services for
large-scale location-based social networks, by exploiting the social and geographical …
large-scale location-based social networks, by exploiting the social and geographical …
Clustering large attributed graphs: An efficient incremental approach
In recent years, many networks have become available for analysis, including social
networks, sensor networks, biological networks, etc. Graph clustering has shown its …
networks, sensor networks, biological networks, etc. Graph clustering has shown its …
Bayesian anomaly detection methods for social networks
Bayesian anomaly detection methods for social networks Page 1 The Annals of Applied
Statistics 2010, Vol. 4, No. 2, 645–662 DOI: 10.1214/10-AOAS329 © Institute of Mathematical …
Statistics 2010, Vol. 4, No. 2, 645–662 DOI: 10.1214/10-AOAS329 © Institute of Mathematical …
Fast computation of simrank for static and dynamic information networks
Information networks are ubiquitous in many applications and analysis on such networks
has attracted significant attention in the academic communities. One of the most important …
has attracted significant attention in the academic communities. One of the most important …
On the vulnerability of large graphs
Given a large graph, like a computer network, which k nodes should we immunize (or
monitor, or remove), to make it as robust as possible against a computer virus attack? We …
monitor, or remove), to make it as robust as possible against a computer virus attack? We …
A unified framework for link recommendation using random walks
The phenomenal success of social networking sites, such as Facebook, Twitter and
LinkedIn, has revolutionized the way people communicate. This paradigm has attracted the …
LinkedIn, has revolutionized the way people communicate. This paradigm has attracted the …
Linkrec: a unified framework for link recommendation with user attributes and graph structure
With the phenomenal success of networking sites (eg, Facebook, Twitter and LinkedIn),
social networks have drawn substantial attention. On online social networking sites, link …
social networks have drawn substantial attention. On online social networking sites, link …
Team formation for generalized tasks in expertise social networks
CT Li, MK Shan - 2010 IEEE second international conference …, 2010 - ieeexplore.ieee.org
Given an expertise social network and a task consisting of a set of required skills, the team
formation problem aims at finding a team of experts who not only satisfy the requirements of …
formation problem aims at finding a team of experts who not only satisfy the requirements of …
Semi-supervised classification of network data using very few labels
The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled
training data required by learning from both labeled and unlabeled instances. Macskassy …
training data required by learning from both labeled and unlabeled instances. Macskassy …