Vegas: Visual influence graph summarization on citation networks
Visually analyzing citation networks poses challenges to many fields of the data mining
research. How can we summarize a large citation graph according to the user's interest? In …
research. How can we summarize a large citation graph according to the user's interest? In …
Hierarchies in directed networks
N Tatti - 2015 IEEE international conference on data mining, 2015 - ieeexplore.ieee.org
Interactions in many real-world phenomena can be explained by a stronghierarchical
structure. Typically, this structure or ranking is not known, instead we only have observed …
structure. Typically, this structure or ranking is not known, instead we only have observed …
Faster way to agony: Discovering hierarchies in directed graphs
N Tatti - Machine Learning and Knowledge Discovery in …, 2014 - Springer
Many real-world phenomena exhibit strong hierarchical structure. Consequently, in many
real-world directed social networks vertices do not play equal role. Instead, vertices form a …
real-world directed social networks vertices do not play equal role. Instead, vertices form a …
Tiers for peers: a practical algorithm for discovering hierarchy in weighted networks
N Tatti - Data mining and knowledge discovery, 2017 - Springer
Interactions in many real-world phenomena can be explained by a strong hierarchical
structure. Typically, this structure or ranking is not known; instead we only have observed …
structure. Typically, this structure or ranking is not known; instead we only have observed …
Beyond rankings: comparing directed acyclic graphs
Defining appropriate distance measures among rankings is a classic area of study which
has led to many useful applications. In this paper, we propose a more general abstraction of …
has led to many useful applications. In this paper, we propose a more general abstraction of …
A bayesian framework for estimating properties of network diffusions
The analysis of network connections, diffusion processes and cascades requires evaluating
properties of the diffusion network. Properties of interest often involve variables that are not …
properties of the diffusion network. Properties of interest often involve variables that are not …
Dynamic hierarchies in temporal directed networks
N Tatti - Machine Learning and Knowledge Discovery in …, 2019 - Springer
The outcome of interactions in many real-world systems can be often explained by a
hierarchy between the participants. Discovering hierarchy from a given directed network can …
hierarchy between the participants. Discovering hierarchy from a given directed network can …
Collective Entity Resolution Methods for Network Inference
E Malmi - 2018 - aaltodoc.aalto.fi
Data has become an essential resource, which is used to guide decision making across
many levels of society. To fully leverage the abundance of data sources, the various sources …
many levels of society. To fully leverage the abundance of data sources, the various sources …
[PDF][PDF] Characterizing and modeling web sessions with applications
L Chiarandini - 2014 - Citeseer
Characterizing and Modeling Web Sessions with Applications Page 1 Characterizing and
Modeling Web Sessions with Applications Luca Chiarandini TESI DOCTORAL UPF / 2014 …
Modeling Web Sessions with Applications Luca Chiarandini TESI DOCTORAL UPF / 2014 …
[PDF][PDF] Tiers for peers a practical algorithm for discovering hierarchy in weighted
N Tatti - users.ics.aalto.fi
Interactions in many real-world phenomena can be explained by a strong hierarchical
structure. Typically, this structure or ranking is not known; instead we only have observed …
structure. Typically, this structure or ranking is not known; instead we only have observed …