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The past decade has witnessed the emergence of participatory Web and social media, bringing people together in many creative ways. Millions of users are playing, tagging, working, and socializing online, demonstrating new forms of collaboration, communication, and intelligence that were hardly imaginable just a short time ago. Social media also helps reshape business models, sway opinions and emotions, and opens up numerous possibilities to study human interaction and collective behavior in an unparalleled scale.This lecture, from a data mining perspective, introduces characteristics of social media, reviews representative tasks of computing with social media, and illustrates associated challenges. It introduces basic concepts, presents state-of-the-art algorithms with easy-to-understand examples, and recommends effective evaluation methods. In particular,we discuss graph-based community detection techniques and many important extensions that handle dynamic, heterogeneous networks in social media. We also demonstrate how discovered patterns of communities can be used for social media mining. The concepts, algorithms, and methods presented in this lecture can help harness the power of social media and support building socially-intelligent systems. This book is an accessible introduction to the study of community detection and mining in social media. It is an essential reading for students, researchers, and practitioners in disciplines and applications where social media is a key source of data that piques our curiosity to understand, manage, innovate, and excel.

Social media. --- Web usage mining. --- social media --- community detection --- social media mining --- centrality analysis --- strength of ties --- influence modeling --- information diffusion --- influence maximization --- correlation --- homophily --- influence --- community evaluation --- heterogeneous networks --- multi-dimensional networks --- multi-mode networks --- community evolution --- collective classification --- social dimension --- behavioral study

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The use of renewable energies and energy saving and efficiency are needs of global society and universities. Universities have a large responsibility and social impact, as they are an example and engine of social change. Universities, in the European context, must be at the forefront of ESA processes, seeking to be at the same level as, and preferably higher than, the rest of society, seeking a goal of 20% renewable energy for 2020 and, in the longer term, greater energy efficiency based on a diverse use of renewable energy and studying the feasibility of other energy processes (cogeneration, trigeneration, etc.). The application of renewable energies and energy efficiency allow universities to make significant savings in their costs and contribute to sustainable development and the fight against climate change. Actions in pursuit of these goals in addition to the objective of energy saving should promote research and form an example for the university community. This book aims to advance the contribution of energy saving and the use of renewable energies in order to achieve more sustainable universities.

History of engineering & technology --- bibliometrics --- community detection --- energy --- law --- sustainability --- smart contracts --- building information modeling (BIM) --- legal aspects --- bibliometric --- clustering --- renewable energy --- wind turbine --- pitch control --- electric generation --- universities --- university environmental impact --- urban planning --- sustainability assessment --- covenant of Mayors --- DC microgrid --- energy management system --- photovoltaic (PV) system --- energy storage system --- constant power load --- power generation control --- benchmark --- campus energy consumption --- heating and cooling degree-days --- energy model --- occupancy rate --- loquat seed --- biomass boiler --- greenhouse gases --- UNAM --- energy saving --- Mexico --- photovoltaic system (PVS) --- zapote seed --- energy consumption --- higher education institution --- energy efficiency indicators --- green campus --- social responsibility --- Spain --- zero-energy buildings --- energy efficiency --- bioclimatic architecture --- sustainable transport --- photovoltaic --- energy saving in laboratories --- energy saving in data processing centres --- bibliometrics --- community detection --- energy --- law --- sustainability --- smart contracts --- building information modeling (BIM) --- legal aspects --- bibliometric --- clustering --- renewable energy --- wind turbine --- pitch control --- electric generation --- universities --- university environmental impact --- urban planning --- sustainability assessment --- covenant of Mayors --- DC microgrid --- energy management system --- photovoltaic (PV) system --- energy storage system --- constant power load --- power generation control --- benchmark --- campus energy consumption --- heating and cooling degree-days --- energy model --- occupancy rate --- loquat seed --- biomass boiler --- greenhouse gases --- UNAM --- energy saving --- Mexico --- photovoltaic system (PVS) --- zapote seed --- energy consumption --- higher education institution --- energy efficiency indicators --- green campus --- social responsibility --- Spain --- zero-energy buildings --- energy efficiency --- bioclimatic architecture --- sustainable transport --- photovoltaic --- energy saving in laboratories --- energy saving in data processing centres

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The use of renewable energies and energy saving and efficiency are needs of global society and universities. Universities have a large responsibility and social impact, as they are an example and engine of social change. Universities, in the European context, must be at the forefront of ESA processes, seeking to be at the same level as, and preferably higher than, the rest of society, seeking a goal of 20% renewable energy for 2020 and, in the longer term, greater energy efficiency based on a diverse use of renewable energy and studying the feasibility of other energy processes (cogeneration, trigeneration, etc.). The application of renewable energies and energy efficiency allow universities to make significant savings in their costs and contribute to sustainable development and the fight against climate change. Actions in pursuit of these goals in addition to the objective of energy saving should promote research and form an example for the university community. This book aims to advance the contribution of energy saving and the use of renewable energies in order to achieve more sustainable universities.

History of engineering & technology --- bibliometrics --- community detection --- energy --- law --- sustainability --- smart contracts --- building information modeling (BIM) --- legal aspects --- bibliometric --- clustering --- renewable energy --- wind turbine --- pitch control --- electric generation --- universities --- university environmental impact --- urban planning --- sustainability assessment --- covenant of Mayors --- DC microgrid --- energy management system --- photovoltaic (PV) system --- energy storage system --- constant power load --- power generation control --- benchmark --- campus energy consumption --- heating and cooling degree-days --- energy model --- occupancy rate --- loquat seed --- biomass boiler --- greenhouse gases --- UNAM --- energy saving --- Mexico --- photovoltaic system (PVS) --- zapote seed --- energy consumption --- higher education institution --- energy efficiency indicators --- green campus --- social responsibility --- Spain --- zero-energy buildings --- energy efficiency --- bioclimatic architecture --- sustainable transport --- photovoltaic --- energy saving in laboratories --- energy saving in data processing centres

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This book includes original research papers related to renewable energy and power systems in which theoretical or practical issues of symmetry are considered. The book includes contributions on voltage stability analysis in DC networks, optimal dispatch of islanded microgrid systems, reactive power compensation, direct power compensation, optimal location and sizing of photovoltaic sources in DC networks, layout of parabolic trough solar collectors, topologic analysis of high-voltage transmission grids, geometric algebra and power systems, filter design for harmonic current compensation. The contributions included in this book describe the state of the art in this field and shed light on the possibilities that the study of symmetry has in power grids and renewable energy systems.

History of engineering & technology --- backstepping method --- hybrid power active filter --- harmonic current compensation --- geometric algebra --- nonsinusoidal power --- passive compensation --- clifford algebra --- circuit systems --- power grids --- supergrids --- high-voltage power transmission --- complex networks --- community detection --- modularity --- evolutionary algorithms --- generational genetic algorithm --- modularity and improved genetic algorithm --- Louvain modularity algorithm --- CSP --- PTC rows --- solar --- shadowing --- energy --- renewable energy --- artificial neural networks --- diesel generation --- direct current networks --- greenhouse emissions --- numerical optimization --- mixed-integer nonlinear programming photovoltaic plants --- distribution networks --- direct power control --- global tracking controller --- passivity-based control --- supercapacitor energy storage system --- reactive power --- thyristor-controlled reactor --- air-gaped reactor --- low-voltage utility grid --- asymmetric compensation of reactive power --- smooth compensation of reactive power --- dynamic optimal dispatch --- wind turbine --- photovoltaic --- Grey Wolf Optimizer (GWO) --- energy management --- convex reformulation --- non-linear optimization --- numerical example --- second-order cone programming --- voltage stability margin --- backstepping method --- hybrid power active filter --- harmonic current compensation --- geometric algebra --- nonsinusoidal power --- passive compensation --- clifford algebra --- circuit systems --- power grids --- supergrids --- high-voltage power transmission --- complex networks --- community detection --- modularity --- evolutionary algorithms --- generational genetic algorithm --- modularity and improved genetic algorithm --- Louvain modularity algorithm --- CSP --- PTC rows --- solar --- shadowing --- energy --- renewable energy --- artificial neural networks --- diesel generation --- direct current networks --- greenhouse emissions --- numerical optimization --- mixed-integer nonlinear programming photovoltaic plants --- distribution networks --- direct power control --- global tracking controller --- passivity-based control --- supercapacitor energy storage system --- reactive power --- thyristor-controlled reactor --- air-gaped reactor --- low-voltage utility grid --- asymmetric compensation of reactive power --- smooth compensation of reactive power --- dynamic optimal dispatch --- wind turbine --- photovoltaic --- Grey Wolf Optimizer (GWO) --- energy management --- convex reformulation --- non-linear optimization --- numerical example --- second-order cone programming --- voltage stability margin

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Complex networks are one of the most challenging research focuses of disciplines, including physics, mathematics, biology, medicine, engineering, and computer science, among others. The interest in complex networks is increasingly growing, due to their ability to model several daily life systems, such as technology networks, the Internet, and communication, chemical, neural, social, political and financial networks. The Special Issue “Computation in Complex Networks" of Entropy offers a multidisciplinary view on how some complex systems behave, providing a collection of original and high-quality papers within the research fields of: • Community detection • Complex network modelling • Complex network analysis • Node classification • Information spreading and control • Network robustness • Social networks • Network medicine

Technology: general issues --- city interaction network --- evolution model --- preferential attachment --- WeChat --- maximum likelihood --- chimera states --- coupled map lattice --- nilpotent matrix --- community detection --- membrane algorithm --- self-organizing map network --- complex networks --- optimization --- structural balance --- minimum memory based sign adjustment --- social networks --- NW network --- convergence --- complex system simulation --- cloud computing architecture --- service-oriented modeling --- semantic search framework --- QoS-based service selection --- cascading failures --- network topology --- null models --- SciSci --- knowledge evolution --- machine learning --- bridging centrality --- disjoint nodes --- disjunct nodes --- node similarity --- overlapping nodes --- Bayesian networks --- entropy --- socio-ecological system --- complex network --- chaotic time series --- Gaussian mixture model --- maximum mean discrepancy --- angiogenesis --- network properties --- variational inference --- graph neural network --- variational autoencoder --- network embedding --- online social networks --- social media --- information spreading --- information diffusion --- cross-entropy --- cross-domain recommendation --- sentiment analysis --- latent sentiment review feature --- non-linear mapping --- dissimilarity spaces --- support vector machines --- kernel methods --- computational biology --- systems biology --- protein contact networks --- data mining --- overlapping communities --- modularity --- literary works --- genre classification --- stylistic attributes --- lemmatization --- renormalisation process --- network growth --- inverse preferential attachment --- language networks --- language development --- multilayer complex networks --- stability --- spreading control --- graph neural networks --- node classification --- active learning --- graph representation learning --- n/a