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Advances in social network analysis : research in the social and behavioral sciences
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ISBN: 0803943024 0803943032 1452243522 1322416168 1452253919 9781452253916 9781452243528 9780803943025 9780803943032 Year: 1994 Publisher: Thousand Oaks, Calif. London New Delhi : Sage Publications,

Social network analysis
Authors: ---
ISBN: 0521382696 0521387078 9780521387071 9780521382694 9780511815478 1139793152 1139778773 0511815476 1139781766 1139775731 1107253373 1283835924 1139777254 Year: 1994 Volume: 8 Publisher: Cambridge Cambridge University Press

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Abstract

Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities and is an important addition to standard social and behavioral research, which is primarily concerned with attributes of the social units. Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. It is a reference book that can be used by those who want a comprehensive review of network methods, or by researchers who have gathered network data and want to find the most appropriate method by which to analyze it. It is also intended for use as a textbook as it is the first book to provide comprehensive coverage of the methodology and applications of the field.

Keywords

Sociology of social care --- Quantitative methods in social research --- Social networks --- Social sciences --- Réseaux sociaux --- Sciences sociales --- Research --- Methodology --- Mathematical models --- Recherche --- Méthodologie --- Modèles mathématiques --- Methodology. --- Sociaal-wetenschappelijk onderzoek. --- 303.6 --- 316.334.2 --- 316.351 --- 316.334.2 Economische sociologie. Industriele sociologie --- Economische sociologie. Industriele sociologie --- 316.351 Sociologie van de massa, van collectief gedrag --- Sociologie van de massa, van collectief gedrag --- 303.6 Verzamelen van gegevens. Feiten verzamelen --(sociaal onderzoek) --- Verzamelen van gegevens. Feiten verzamelen --(sociaal onderzoek) --- Networking, Social --- Networks, Social --- Social networking --- Social support systems --- Support systems, Social --- Interpersonal relations --- Cliques (Sociology) --- Microblogs --- Research&delete& --- 305.0151 --- 371.012 --- 371.012 Onderwijsresearch. Methoden voor onderwijs --- Onderwijsresearch. Methoden voor onderwijs --- Behavioral sciences. --- Social networks. --- Network data. --- Social network analysis. --- #SBIB:303H520 --- AA / International- internationaal --- 305.971 --- 201 --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Speciale gevallen in econometrische modelbouw --- Sociologie: algemeenheden --- Social Sciences --- Sociology --- Social networks - Research - Methodology --- Network analysis. --- Network analysis (Social sciences) --- SNA (Social network analysis) --- Social network analysis --- System analysis --- Behavioral sciences


Book
Random Directed Graph Distributions in the Triad Census in Social Networks
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Year: 1975 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Models and methods in social network analysis
Authors: --- ---
ISBN: 0521600979 9780521600972 0521809592 9780521809597 9780511811395 0511111363 9780511111365 051181139X 9780511197840 0511197845 1280415215 9781280415210 0511181248 9780511181245 0511308841 9780511308840 0511111037 9780511111037 Year: 2005 Volume: 27 Publisher: Cambridge New York Cambridge University Press

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Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.


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Random Directed Graph Distributions in the Triad Census in Social Networks
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Year: 1975 Publisher: Cambridge, Mass. National Bureau of Economic Research

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This paper uses the concept of the triad census first introduced by Holland and Leinhardt, and describes several distributions on directed graphs. Methods are presented for calculating the mean and the covariance matrix of the triad census for the uniform distribution that conditions on the number of choices made by each individual in the social network. Several complex distributions on digraphs are approximated, and an application of these methods to a sociogram is given.


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Notes on Automating Stem and Leaf Displays
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Year: 1975 Publisher: Cambridge, Mass. National Bureau of Economic Research

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The stem-and-leaf display is a natural semi-graphic technique to include in statistical computing systems. This paper discusses the choices involved in implementing both automated and flexible versions of the display, develops an algorithm for the automated version, examines various implementation considerations, and presents a set of semi-portable FORTRAN subroutines for producing stem-and-leaf displays.


Book
Analysis of Images, Social Networks and Texts : 6th International Conference, AIST 2017, Moscow, Russia, July 27–29, 2017, Revised Selected Papers
Authors: --- --- --- --- --- et al.
ISBN: 3319730134 3319730126 Year: 2018 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This book constitutes the proceedings of the 6th International Conference on Analysis of Images, Social Networks and Texts, AIST 2017, held in Moscow, Russia, in July 2017. The 29 full papers and 8 short papers were carefully reviewed and selected from 127 submissions. The papers are organized in topical sections on natural language processing; general topics of data analysis; analysis of images and video; optimization problems on graphs and network structures; analysis of dynamic behavior through event data; social network analysis.

Keywords

Computer science. --- Data mining. --- Information storage and retrieval. --- Artificial intelligence. --- Text processing (Computer science). --- Computational linguistics. --- Computer Science. --- Data Mining and Knowledge Discovery. --- Artificial Intelligence (incl. Robotics). --- Information Storage and Retrieval. --- Document Preparation and Text Processing. --- Language Translation and Linguistics. --- Processing, Text (Computer science) --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Informatics --- Data processing --- Database management --- Electronic data processing --- Information storage and retrieval systems --- Word processing --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Database searching --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Science --- Information storage and retrieva. --- Natural language processing (Computer science). --- Artificial Intelligence. --- Natural Language Processing (NLP). --- NLP (Computer science) --- Artificial intelligence --- Human-computer interaction --- Semantic computing --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Data mining

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