The phenomenon of self-disclosure can be considered at different levels of scientific exploration being approached either from the socio-psychological viewpoint or from the individually determined personal perspective, where the subject of openness may serve as an individual with his personal potential in the field of social communications, and social groups or corporations as well. At the level of communicative dialogue and interpersonal relationships self-disclosure is manifestation of human potential capabilities and his readiness for open and trusting cooperation in society. In practical terms, handling these issues can be referred to as a social order from the part of the representatives of those professions where comfortable social communication appears to be an important factor of communicative competence and professionalism of the person.
The CCIS series is devoted to the publication of proceedings of computer science conferences. Its aim is to efficiently disseminate original research results in informatics in printed and electronic form. While the focus is on publication of peer-reviewed full papers presenting mature work, inclusion of reviewed short papers reporting on work in progress is welcome, too. Besides globally relevant meetings with internationally representative program committees guaranteeing a strict peer-reviewing and paper selection process, conferences run by societies or of high regional or national relevance are also considered for publication.
In online social networks, high level features of user behavior such as character traits can be predicted with data from user profiles and their connections. Recent publications use data from online social networks to detect people with depression propensity and diagnosis. In this study, we investigate the capabilities of previously published methods and metrics applied to the Russian online social network VKontakte. We gathered user profile data from most popular communities about suicide and depression on VK.com and performed comparative analysis between them and randomly sampled users. We have used not only standard user attributes like age, gender, or number of friends but also structural properties of their egocentric networks, with results similar to the study of suicide propensity in the Japanese social network Mixi.com. Our goal is to test the approach and models in this new setting and propose enhancements to the research design and analysis. We investigate the resulting classifiers to identify profile features that can indicate depression propensity of the users in order to provide tools for early depression detection. Finally, we discuss further work that might improve our analysis and transfer the results to practical applications.
The fourth edition of this book has been entirely re-written, this time co-authored by Ioannis Lianos with the contribution of Paolo Siciliani. It includes substantially more material on the economics of competition law and integrates, for the first time, UK competition law materials and commentary. An additional new feature is greater introductory and analytical commentary, making this book suitable for use either as a stand-alone text and materials book, or as a book of materials to be used in conjunction with a second text. It will continue to be one of the best books for undergraduate and post-graduate students in competition law, providing them with the necessary critical understanding of the law, its social and economic context, and the necessary depth of analysis in order to provide them with the knowledge and tools they need for practising competition law. The materials have been completely updated to take into account recent developments in EU and UK competition law, including extracts from the leading cases of Cartes Bancaires, Intel, Lundbeck, Streetmap v Google, the most recent versions of the Block Exemption Regulations and the Europan Commission's and the UK Competition and Markets Authority (CMA) Guidance, recent UK and other National Competition Authorities (NCA) cases in digital markets, the recent European Commission's investigations against Google (Alphabet), recent merger cases and guidance and a detailed analysis of enforcement (including private enforcement, criminal enforcement and Alternative Dispute Resolution) and procedure in both the EU and UK competition law. The book also includes commentary on the implications of Brexit in competition law enforcement in the UK. Economic analysis is presented in a non-technical way so as to enable students without any background in economics to understand the economic content of the law and to be able to critically assess economic evidence often presented in competition law cases. The book is co-authored by an economist and constitutes the only textbook/casebook in the market with a balanced incorporation of both law and economics. Other sources of wisdom for competition law, such as economic sociology and business studies, are also referred to and analyzed. The bulk of the text is made up of analysis supplemented with extracts from Commission Decisions and decisions of NCAs (in particular the UK ones), Opinions of the Advocates General at the Court of Justice of the European Union (CJEU) and judgments of the CJEU and General Court. These are supplemented by extracts from EU legislation, and comments, notes and questions prepared by the authors for each important judgment or decision so as to enhance students' understanding of the economic and legal context of the specific case.
This On-Topic revisits the complex issues rising in the food sector and its value chain. Both the European Union and the US competition authorities have scrutinized relationships between food chain actors. The increasing market concentration raises new challenges for competition enforcement authorities dealing with the creation of new powerful actors at the distribution but also at the factor of production (input) levels. The concept of superior bargaining power has played a key role, sometimes criticised, in order to assess these relationships. The papers also discuss the critical intersection of competition law with public policy, with the aim to preserve sustainability, food safety and the stability of agricultural markets
Competition and the State analyzes the role of the state across a number of dimensions as it relates to competition law and policy across a number of dimensions. This book re-conceptualizes the interaction between competition law and government activities in light of the profound transformation of the conception of state action in recent years by looking to the challenges of privatization, new public management, and public-private partnerships. It then asks whether there is a substantive legal framework that might be put in place to address competition issues as they relate to the role of the state. Various chapters also provide case studies of national experiences. The volume also examines one of the most highly controversial policy issues within the competition and regulatory sphere—the role of competition law and policy in the financial sector.
The efficiency approach, as advocated by the Chicago School in particular, only provides a very narrow approach to competition law analysis that relies on the preferences of consumers. This approach remains especially insufficient for the regulation of firms that provide citizens with politically relevant news and information. In times of digitisation, citizens increasingly rely on news disseminated by Internet intermediaries such as Facebook, Twitter or Google for making political decisions. Such firms design their business models and their algorithms for selecting the news according to a purely economic rationale. Yet recent research indicates that dissemination of news through social platforms in particular has a negative impact on the democratic process by favouring the dissemination of false factual statements, fake news and unverifiable conspiracy theories within closed communities and, ultimately, leads to radicalisation and a division of society along political and ideological lines. Experience based on the Brexit referendum in the UK and the recent presidential elections in the US highlights the ability of populist political movements to abuse the business rationale of Internet intermediaries and the functioning of their algorithms in order to win popular votes with their ‘post-truth politics’. This article relies on competition law principles to discuss future approaches to regulating the market for political ideas at the interface of competition law and media law in the new digital age. Based on constitutional considerations the article rests on the assumption that media markets should not only provide news that responds best to the psychological predispositions and subjective beliefs of the individual citizen, but also provide correct information and diversity of opinion as a basis for making informed democratic decisions.
The present study generalizes the results of scientific research in the field of economic and mathematic simulation using elements of the theory of functions of complex variables (TFCV), which was conducted since 2004 under the author’s scientific supervision. Since the new results significantly extend the instrumental basis of scientific research in economics and possess their own theoretical base and logic, this section of economic and mathematic simulation was called “complex economics”. The study provides the fundamentals of this new scientific direction in economics and demonstrates how to use this theoretical base to build new economic and mathematic models that appear to be more adequate than models of real variables.
Most economists are absolutely unfamiliar or slightly familiar with the theory of functions complex variables. This is why, in this study, we would state briefly some provisions of this theory to get the reader acquainted with TFCV, and then formulate sequentially the principles of the theory of complex economy, its axiomatic core, basic conceptual positions of the theory, methods and models of the complex economics. Where necessary, theoretical provisions are verified by examples from the real economic practice.
The study is targeted at scientific workers, post-graduate students and doctors using economic and mathematic simulations in their activity.
Contributions in this volume focus on computationally efficient algorithms and rigorous mathematical theories for analyzing large-scale networks. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks.
This proceeding is a result of the 7th International Conference in Network Analysis, held at the Higher School of Economics, Nizhny Novgorod in June 2017. The conference brought together scientists, engineers, and researchers from academia, industry, and government.
It is more than 10 years ago that the first edition of this book has appeared. Since then, the field of computational invariant theory has been enjoying a lot of attention and activity, resulting in some important and, to us, exciting developments. This is why we think that it is time for a second enlarged and revised edition. Apart from correcting some mistakes and reorganizing the presentation here and there, we have added the following material: further results about separating invariants and their computation (Sects. 2.4 and 4.9.1), Symonds’ degree bound (Sect. 3.3.2), Hughes’ and Kemper’s extension of Molien’s formula (Sect. 3.4.2), King’s algorithm for computing fundamental invariants (Sect. 3.8.2), Broer’s criterion for the quasi- Gorenstein property (Sect. 3.9.11), Dufresne’s generalization of Serre’s result on polynomial invariant rings and her result with Jeffries (Sect. 3.12.2), Kamke’s algorithm for computing invariants of finite groups acting on algebras (Sect. 3.13), Kemper’s and Derksen’s algorithm for computing invariants of reductive groups in positive characteristic (Sect. 3.13), algorithms by Müller-Quade and Beth, Hubert and Kogan, and Kamke and Kemper for computing invariant fields and localizations of invariant rings (Sect. 4.10.1), and work by van den Essen, Freudenburg, Greuel and Pfister, Kemper, Sancho de Salas, and Tanimoto on invariants of the additive group and of connected solvable groups (Sect. 4.10.5).
Last but not least, this edition contains two new appendices, written by Vladimir Popov, on algorithms for deciding the containment of orbit closures and on a stratification of Hilbert’s nullcone. The second appendix has an addendum, authored by Norbert A’Campo and Vladimir Popov, containing the source code of a program for computing this stratification. We would like to thank Bram Broer, Emilie Dufresne, Vladimir Popov, Jim Shank, and Peter Symonds for valuable comments on a pre-circulated version of this edition, Vladimir Popov and Norbert A’Campo for their contributions to the book, and Ruth Allewelt at Springer-Verlag for managing the production process and for gently pushing us to finally finish our work and hand over the files. Ann Arbor,MI, USA Harm Derksen Munich, Germany Gregor Kemper July 2015
The book includes 71 papers submitted to the International conference in computer linguistics and intellectual technologies Dialogue 2017 and presents a broad spectrum of theoretical and applied research of natural language description, language simulation, and creation of applied computer technologies.
This book constitutes the proceedings of the 13th International Computer Science Symposium in Russia, CSR 2018, held in Moscow, Russia, in May 2018.
The 24 full papers presented together with 7 invited lectures were carefully reviewed and selected from 42 submissions. The papers cover a wide range of topics such as algorithms and data structures; combinatorial optimization; constraint solving; computational complexity; cryptography; combinatorics in computer science; formal languages and automata; algorithms for concurrent and distributed systems; networks; and proof theory and applications of logic to computer science.
Computer simulations are nowadays a rmly established third pillar of modern natural sciences, complementing experimentation and paper-and-pencil theoret- ical studies. Simulations, experiments in silico, prove indispensable in diverse areas of research in physics and other natural sciences. This volume collects papers based on presentations delivered at the Sec- ond International Conference on Computer Simulations in Physics and beyond (CSP2017), which took place October 9-12, 2017 in Moscow. The Conference, which continues a biannual tradition started by an innaugural conference in 2015, took place on campus of A.N. Tikhonov Moscow Institute of Electronics and Mathematics, was jointly organized by the National Research University Higher School of Economics, the Landau Insitute for Theoretical Physics and Science Center in Chernogolovka. As the name implies, the Conference is a multidisciplinary meeting, with a focus on computational physics and related subjects. Indeed, methods of computational physics prove useful in a broad spectrum of research in multiple branches of natural sciences, and this volume provides a sample. We hope that this volume will interest a wide range of readers, and we are already looking forward for the next conference in this biannual series.