Network motifs are local structural patterns and elementary functional units of complex networks in real world, which can have significant impacts on the global behavior of these systems.Manymodels are able to reproduce complexnetworksmimicking a series of global features of real systems, however the local features such asmotifs in real networks have not beenwell represented.Wepropose amodel to...

This paper presents a novel data mining technique, known as Post Sequential Patterns Mining. The technique can be used to discover structural patterns that are composed of sequential patterns, branch patterns or iterative patterns. The concurrent branch pattern is one of the main forms of structural patterns and plays an important role in event-based data modelling. To discover concurrent branc...

Over the years a massive amount of high-throughput screening (HTS) data has been collected, however, the data are mainly utilized for providing lead generation programs with chemical entry points. The comparison of molecular structures and HTS data across many projects allows to identify and validate structural patterns of frequent hitters, i.e. compounds which generate multiple hits in various...

Ecological networks exhibit non-random structural patterns, such as modularity and nestedness, which determine ecosystem stability with species diversity and connectance. Such structure-stability relationships are well known. However, another important perspective is less well understood: the relationship between the environment and structure. Inspired by theoretical studies that suggest that n...

Discovering patterns in graphs is a well-studied field of data mining. While a lot of work has already gone into finding structural patterns in graph datasets, we focus on relaxing the structural requirements in order to find items that often occur near each other in the input graph. By doing this, we significantly reduce the search space and simplify the output. We look for itemsets that are b...

A variety of social networks feature a directed attention or “follower” network. In this paper, we compare several methods of recommending new people for users to follow. We analyzed structural patterns in a directed social network to evaluate the likelihood that they will predict a future connection, and use these observations to inform an intervention experiment where we offer users of this n...

The transmission of linguistic change within a speech community is characterized by incrementation within a faithfully reproduced pattern characteristic of the family tree model, while diffusion across communities shows weakening of the original pattern and a loss of structural features. It is proposed that this is the result of the difference between the learning abilities of children and adul...

Land use (LU) information is of significant value for various urban studies and is needed for a wide variety of decision-making initiatives in the range of global, regional and urban areas. A challenge that researchers and practitioners have been facing in urban modeling/planning is the lack of detailed information regarding how cities are structured and how urban development evolves. This stud...

Understanding participles is a major requisite for the NT scholar. This study surveys the many ways participles are used in the Greek NT and the frequency of occurrence of each functional type. Attention is given to the structural patterns involved and the significance of these classifications. Eighteen categories are distinguished, nine of adjectival uses and nine of verbal uses. The special f...

Purpose – This study aims to test the extent to which current coercive control strategies receive research support in controlling deviant workplace Internet behavior, also called cyberloafing. Consequently, it examines the relationship between cyberloafing and three classic coercive variables: perceived organizational control (POC), fear of formal punishment (FFP) and physical leadership proxim...