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Results for criterions: Keyword: Neighbourhood Modify search criterions 2 matches Title Text formal reductions for tree analysis and automatic classification. Application to a latin historians corpus Author MELLET Sylvie, LUONG Nguyen Xuan, LONGREE Dominique, BARTHELEMY Jean-Pierre Keywords Generic classification, Lattice, Linear textual structures, Motif (pattern), Neighbourhood, Texts topological approach, Tree analysis Topics Classification - Clustering - Partitioning, Lattices, Literature, Trees Abstract In this paper, we present different methods of automatic classification applied to a corpus of literary texts and we compare their different results; in particular we evaluate how each of them is suitable for exhibiting the generic classification of the corpus. We demonstrate that a topological approach of the texts which takes into account their linearity, i.e. the order of their micro- and macro-structures, results in better clustering than traditional quantitative methods which leave generally out of count this linear structure. Number 187, Fall 2009, special issue: 2007 Meeting of the French-speaking Society of Classification Language   French Read the article Title Building models for social space: neighourhood-based models for social networks and affiliation structures Author PATTISON Philippa, ROBINS Garry Keywords Affiliation, Dynamic, Neighbourhood, Random graph, Social space Topics Graphs, Modelling, Networks, Probabilities, Process, Social Sciences, Stochastic Processes Abstract We propose a quantitative relational framework for social space. We suggest that social space cannot be specified simply in geographical, network or sociocultural terms but, rather, requires an understanding of the interdependence of relationships among different types of social entities, such as persons, groups, sociocultural resources and places. We also suggest that social space cannot be regarded as fixed: unlike the Euclidean space of Newtonian mechanics, social space is constructed, at least in part, by the social processes that it supports. In the general stochastic relational framework that we propose, relationships among social entities are regarded as the fundamental elements of social space and observed relational entities are viewed as the outcome of processes that occur in overlapping local relational neighbourhoods. Each neighbourhood corresponds to a subset of possible relational entities and is conceived as a possible site of social interaction. We show how special cases of this framework yield hierarchies of models for social networks and for affiliation structures. We also sketch some next steps in the development of this framework. Number 168, Winter 2004, special issue: Social networks Language  English Read the article Users rights : The entire journal is licensed under a Creative Commons license