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Chapter
T-DNA transfer from Agrobacterium to the plant cell nucleus
The T-DNA (transferred DNA) of Agrobacterium tumefaciens is the only non-viral nucleic acid known to genetically transform a higher eukaryotic cell in nature. The bacterium has to produce plant-infectious DNA whi...
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Chapter
Role of Virulence Proteins of Agrobacterium in the Plant
A. tumefaciens is a plant pathogen which is able to transfer a defined piece of its own DNA, the transferred DNA or T-DNA to the plant cell of many dicotyledonous plants. The T-DNA is then integrated...
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Chapter and Conference Paper
Social Network Data and Practices: The Case of Friendfeed
Due to their large worldwide adoption, Social Network Sites (SNSs) have been widely used in many global events as an important source to spread news and information. While the searchability and persistence of thi...
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Chapter and Conference Paper
Conversation Retrieval from Twitter
The process of retrieving conversations from social network sites differs from traditional Web information retrieval because it involves human communication aspects, like the degree of interest in the conversa...
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Chapter and Conference Paper
Supervised Learning of Graph Structure
Graph-based representations have been used with considerable success in computer vision in the abstraction and recognition of object shape and scene structure. Despite this, the methodology available for learn...
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Chapter and Conference Paper
Approximate Axial Symmetries from Continuous Time Quantum Walks
The analysis of complex networks is usually based on key properties such as small-worldness and vertex degree distribution. The presence of symmetric motifs on the other hand has been related to redundancy and...
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Chapter and Conference Paper
Information Theoretic Prototype Selection for Unattributed Graphs
In this paper we propose a prototype size selection method for a set of sample graphs. Our first contribution is to show how approximate set coding can be extended from the vector to graph domain. With this fr...
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Chapter and Conference Paper
Uniform Access to Non-relational Database Systems: The SOS Platform
Non-relational databases (often termed as NoSQL) have recently emerged and have generated both interest and criticism. Interest because they address requirements that are very important in large-scale applicat...
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Chapter and Conference Paper
Formation of Multiple Networks
While most research in Social Network Analysis has focused on single networks, the availability of complex on-line data about individuals and their mutual heterogenous connections has recently determined a ren...
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Chapter and Conference Paper
A Continuous-Time Quantum Walk Kernel for Unattributed Graphs
Kernel methods provide a way to apply a wide range of learning techniques to complex and structured data by shifting the representational problem from one of finding an embedding of the data to that of definin...
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Chapter and Conference Paper
A Quantum Jensen-Shannon Graph Kernel Using the Continuous-Time Quantum Walk
In this paper, we use the quantum Jensen-Shannon divergence as a means to establish the similarity between a pair of graphs and to develop a novel graph kernel. In quantum theory, the quantum Jensen-Shannon di...
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Chapter and Conference Paper
Manifold Learning and the Quantum Jensen-Shannon Divergence Kernel
The quantum Jensen-Shannon divergence kernel [1] was recently introduced in the context of unattributed graphs where it was shown to outperform several commonly used alternatives. In this paper, we study the s...
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Chapter and Conference Paper
Pareto Distance for Multi-layer Network Analysis
Social Network Analysis has been historically applied to single networks, e.g., interaction networks between co-workers. However, the advent of on-line social network sites has emphasized the stratified struct...
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Chapter
Factors Enabling Information Propagation in a Social Network Site
A relevant feature of Social Network Sites is their ability to propagate units of information and create large distributed conversations. This phenomenon is particularly relevant because of the speed of inform...
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Chapter and Conference Paper
Attributed Graph Similarity from the Quantum Jensen-Shannon Divergence
One of the most fundamental problem that we face in the graph domain is that of establishing the similarity, or alternatively the distance, between graphs. In this paper, we address the problem of measuring th...
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Chapter and Conference Paper
Transitive State Alignment for the Quantum Jensen-Shannon Kernel
Kernel methods provide a convenient way to apply a wide range of learning techniques to complex and structured data by shifting the representational problem from one of finding an embedding of the data to that...
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Chapter and Conference Paper
Node Centrality for Continuous-Time Quantum Walks
The study of complex networks has recently attracted increasing interest because of the large variety of systems that can be modeled using graphs. A fundamental operation in the analysis of complex networks is...
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Chapter and Conference Paper
Attributed Graph Kernels Using the Jensen-Tsallis q-Differences
We propose a family of attributed graph kernels based on mutual information measures, i.e., the Jensen-Tsallis (JT) q-differences (for q ∈ [1,2]) between probability distributions over the graphs. To this end, we...
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Chapter and Conference Paper
A Quantum Jensen-Shannon Graph Kernel Using Discrete-Time Quantum Walks
In this paper, we develop a new graph kernel by using the quantum Jensen-Shannon divergence and the discrete-time quantum walk. To this end, we commence by performing a discrete-time quantum walk to compute a ...
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Chapter
Modeling the Spatio-temporal Dynamics of the Pine Processionary Moth
“This chapter summarizes several modeling studies conducted on the pine processionary moth range expansion in a spatio-temporally heterogeneous environment. These studies provide new approaches for analyzing a...
