Link mining: a survey
L Getoor, CP Diehl - Acm Sigkdd Explorations Newsletter, 2005 - dl.acm.org
Many datasets of interest today are best described as a linked collection of interrelated
objects. These may represent homogeneous networks, in which there is a single-object type …
objects. These may represent homogeneous networks, in which there is a single-object type …
[PDF][PDF] Learning systems of concepts with an infinite relational model
Relationships between concepts account for a large proportion of semantic knowledge. We
present a nonparametric Bayesian model that discovers systems of related concepts. Given …
present a nonparametric Bayesian model that discovers systems of related concepts. Given …
Markov Logic
P Domingos, D Lowd - Markov Logic: An Interface Layer for Artificial …, 2009 - Springer
In this chapter, we provide a detailed description of the Markov logic representation. We
begin by providing background on first-order logic and probabilistic graphical models and …
begin by providing background on first-order logic and probabilistic graphical models and …
Topic and role discovery in social networks with experiments on enron and academic email
Previous work in social network analysis (SNA) has modeled the existence of links from one
entity to another, but not the attributes such as language content or topics on those links. We …
entity to another, but not the attributes such as language content or topics on those links. We …
Statistical predicate invention
S Kok, P Domingos - Proceedings of the 24th international conference …, 2007 - dl.acm.org
We propose statistical predicate invention as a key problem for statistical relational learning.
SPI is the problem of discovering new concepts, properties and relations in structured data …
SPI is the problem of discovering new concepts, properties and relations in structured data …
Roles in social networks: Methodologies and research issues
M Forestier, A Stavrianou, J Velcin… - Web Intelligence and …, 2012 - content.iospress.com
The expansion of web user roles is, nowadays, a fact due to the ability of users to interact,
discuss, exchange ideas and opinions, and form social networks through the web. The …
discuss, exchange ideas and opinions, and form social networks through the web. The …
Topic and role discovery in social networks
Previous work in social network analysis (SNA) has modeled the existence of links from one
entity to another, but not the language content or topics on those links. We present the …
entity to another, but not the language content or topics on those links. We present the …
[PDF][PDF] The author-recipient-topic model for topic and role discovery in social networks: Experiments with enron and academic email
A McCallum… - Computer Science …, 2005 - scholarworks.umass.edu
Previous work in social network analysis (SNA) has modeled the existence of links from one
entity to another, but not the language content or topics on those links. We present the …
entity to another, but not the language content or topics on those links. We present the …
Leveraging relational autocorrelation with latent group models
The presence of autocorrelation provides strong motivation for using relational techniques
for learning and inference. Autocorrelation is a statistical dependency between the values of …
for learning and inference. Autocorrelation is a statistical dependency between the values of …
Analysis and mining of online social networks: emerging trends and challenges
SY Bhat, M Abulaish - Wiley Interdisciplinary Reviews: Data …, 2013 - Wiley Online Library
Social network analysis (SNA) is a multidisciplinary field dedicated to the analysis and
modeling of relations and diffusion processes among various objects in nature and society …
modeling of relations and diffusion processes among various objects in nature and society …