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Link Prediction in Social Networks
This work presents link prediction similarity measures for social networks that exploit the degree distribution of the networks. In the context of link prediction in dense networks, the text proposes similarity measures based on Markov inequality degree thresholding (MIDTs), which only consider nodes whose degree is above a threshold for a possible link. Also presented are similarity measures based on cliques (CNC, AAC, RAC), which assign extra weight between nodes sharing a greater number of cliques. Additionally, a locally adaptive (LA) similarity measure is proposed that assigns different weights to common nodes based on the degree distribution of the local neighborhood and the degree distribution of the network. In the context of link prediction in dense networks, the text introduces a novel two-phase framework that adds edges to the sparse graph to forma boost graph.
Socionomics
Why do trends in human society sometimes change so suddenly?The past three years show how quickly cultural shifts can occur, which makes answering the question above all the more urgent. In 1999, we were celebrating our heroes, the stock market had reached unprecedented heights - and many people believed that peace in the Middle East was at hand.Three years later, the economy is weak, corporate executives are being thrown in jail, bloodletting between Israelis and Palestinians is daily ritual, India is testing missiles, North Korea is threatening the U.S. with nuclear destruction, the U.S. is at war with Iraq, European allies are deserting the U.S., a senator is calling for the resignation o...
Hidden Link Prediction in Stochastic Social Networks
Link prediction is required to understand the evolutionary theory of computing for different social networks. However, the stochastic growth of the social network leads to various challenges in identifying hidden links, such as representation of graph, distinction between spurious and missing links, selection of link prediction techniques comprised of network features, and identification of network types. Hidden Link Prediction in Stochastic Social Networks concentrates on the foremost techniques of hidden link predictions in stochastic social networks including methods and approaches that involve similarity index techniques, matrix factorization, reinforcement, models, and graph representations and community detections. The book also includes miscellaneous methods of different modalities in deep learning, agent-driven AI techniques, and automata-driven systems and will improve the understanding and development of automated machine learning systems for supervised, unsupervised, and recommendation-driven learning systems. It is intended for use by data scientists, technology developers, professionals, students, and researchers.
Philosophico-Methodological Analysis of Prediction and its Role in Economics
This book develops a philosophico-methodological analysis of prediction and its role in economics. Prediction plays a key role in economics in various ways. It can be seen as a basic science, as an applied science and in the application of this science. First, it is used by economic theory in order to test the available knowledge. In this regard, prediction has been presented as the scientific test for economics as a science. Second, prediction provides a content regarding the possible future that can be used for prescription in applied economics. Thus, it can be used as a guide for economic policy, i.e., as knowledge concerning the future to be employed for the resolution of specific proble...
Conflict and Conflict Management
The scope and content of Conflict and Conflict Management derive from some of the most frequently asked questions about the subject. What is social conflict? What are its prominent characteristics and most common forms? Is conflict inevitable? How do social structure and unequal distribution of power affect the prevalence and nature of conflict? Are there positive consequences of conflict? What actions can be taken to prevent conflict? Can conflict be predicted and forestalled? Joseph S. Himes effectively demonstrates that contemporary social science can provide answers to most of these questions. His responses to the questions are drawn from social science literature, theory, and research a...
Karl Popper
A volume of insightful new essays by well-known philosophers re-evaluating the significance of Karl Popper's contribution to twentieth-century philosophy.
Against Prediction
From random security checks at airports to the use of risk assessment in sentencing, actuarial methods are being used more than ever to determine whom law enforcement officials target and punish. And with the exception of racial profiling on our highways and streets, most people favor these methods because they believe they’re a more cost-effective way to fight crime. In Against Prediction, Bernard E. Harcourt challenges this growing reliance on actuarial methods. These prediction tools, he demonstrates, may in fact increase the overall amount of crime in society, depending on the relative responsiveness of the profiled populations to heightened security. They may also aggravate the difficulties that minorities already have obtaining work, education, and a better quality of life—thus perpetuating the pattern of criminal behavior. Ultimately, Harcourt shows how the perceived success of actuarial methods has begun to distort our very conception of just punishment and to obscure alternate visions of social order. In place of the actuarial, he proposes instead a turn to randomization in punishment and policing. The presumption, Harcourt concludes, should be against prediction.
Civilization
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Predicting the Future
The future obviously matters to us. It is, after all, where we'll be spending the rest of our lives. We need some degree of foresight if we are to make effective plans for managing our affairs. Much that we would like to know in advance cannot be predicted. But a vast amount of successful prediction is nonetheless possible, especially in the context of applied sciences such as medicine, meteorology, and engineering. This book examines our prospects for finding out about the future in advance. It addresses questions such as why prediction is possible in some areas and not others; what sorts of methods and resources make successful prediction possible; and what obstacles limit the predictive v...
