This Open Access book investigates the methodological and ethical dilemmas involved when working with digital technologies and large-scale datasets in relation to ethnographic studies of digital migration practices and trajectories. Digital technologies reshape not only every phase of the migration process itself (by providing new ways to access, to share and preserve relevant information) but also the activities of other actors, from solidarity networks to border control agencies. In doing so, digital technologies create a whole new set of ethical and methodological challenges for migration studies: from data access to data interpretation, privacy protection, and research ethics more generally. Of specific concern are the aspects of digital migration researchers accessing digital platforms used by migrants, who are subject to precarious and insecure life circumstances, lack recognised papers and are in danger of being rejected and deported. Thus, the authors call for new modes of caring for (big) data when researching migrants' digital practices in the configuration of migration and borders. Besides taking proper care of research participants' privacy, autonomy, and security, this also spans carefully establishing analytically sustainable environments for the respective data sets. In doing so, the book argues that it is essential to carefully reflect on researchers' own positioning as being part of the challenge they seek to address.

Multilayer networks, in particular multilayer social networks, where users belong to and interact on different networks at the same time, are an active research area in social network analysis, computer science, and physics. These networks have traditionally been studied within these separate research communities, leading to the development of several independent models and methods to deal with the same set of problems. This book unifies and consolidates existing practical and theoretical knowledge on multilayer networks including data collection and analysis, modeling, and mining of multilayer social network systems, the evolution of interconnected social networks, and dynamic processes such as information spreading. A single real dataset is used to illustrate the concepts presented throughout the book, demonstrating both the practical utility and the potential shortcomings of the various methods. Researchers from all areas of network analysis will learn new aspects and future directions of this emerging field.

This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2020, held in Padua, Italy, in January 2021. The 35 papers presented in this volume were carefully reviewed and selected from 81 submissions. The accepted papers cover the major topics of current interest in pattern recognition, including classification and clustering, deep learning, structural matching and graph-theoretic methods, and multimedia analysis and understanding.

This Open Access book investigates the methodological and ethical dilemmas involved when working with digital technologies and large-scale datasets in relation to ethnographic studies of digital migration practices and trajectories. Digital technologies reshape not only every phase of the migration process itself (by providing new ways to access, to share and preserve relevant information) but also the activities of other actors, from solidarity networks to border control agencies. In doing so, digital technologies create a whole new set of ethical and methodological challenges for migration studies: from data access to data interpretation, privacy protection, and research ethics more generally. Of specific concern are the aspects of digital migration researchers accessing digital platforms used by migrants, who are subject to precarious and insecure life circumstances, lack recognised papers and are in danger of being rejected and deported. Thus, the authors call for new modes of caring for (big) data when researching migrants' digital practices in the configuration of migration and borders. Besides taking proper care of research participants' privacy, autonomy, and security, this also spans carefully establishing analytically sustainable environments for the respective data sets. In doing so, the book argues that it is essential to carefully reflect on researchers' own positioning as being part of the challenge they seek to address.

Theartificial intelligencesof DataCom are trying to save the planet... by exterminating the human race. Aurelia finds her perfect man: arobot. The space explorer Captain Arcot sacrifices his life for an impossible conquest, the heart of Vril thevampire queen. A shape-shifting mutant ignites theerotic desiresof the galactic police officer who's been tracking her down. Alessio fights againstcorruptionin a universe of his own creation. An innocent man is forced to submit to thedominationof a ruthless prison director. A king who's forgotten his own past wanders through amagical dimensionwhere he discovers his own history. Two souls separated after one abandons the other meet again inanother life. In an excitingvirtual realitygame, the hunter of the fearsome black widow becomes her prey. Ranked #1 in WIRED's Self Published Books A Highly Rated Read Voted To The Following Positions on Goodreads: #1 in Great Fun Science Fiction & Fantasy #1 in Parallel Universes #1 in Greatest horror/fantasy books ever #1 in Favorite Fantasy Books #1 in Indie Novellas, Novelettes, and Short Stories #1 in Indie/Self-Published Books #1 in Anthologies you just HAVE TO READ #1 in Best Genuinely Unusual Fiction #2 in Books that most influenced you #3 in Amazing Paranormal Books #7 in Best Indie Fantasy Books #7 in Awsome Action #7 in Best Anthologies "This book contains explicit scenes of sexual nature.""

DataCom, la multinazionale guidata dalle intelligenze artificiali, vuole sterminare gli umani. Aurelia trova il partner perfetto in un robot. L'esploratore spaziale Arcot offre la vita per l'impossibile conquista del cuore di Vril, la regina vampiro. Una mutante puo assumere qualsiasi forma accenda i desideri erotici del poliziotto che la insegue. Alessio, il geniale imprenditore, lotta contro la corruzione in un universo da lui stesso creato. L'immotivata incarcerazione di un ingegnere costretto a subire il dominio di una spietata direttrice carceraria. Una dimensione magica che si svela a un sovrano immemore del proprio passato. Due anime straziate dal sentimento dell'abbandono che si rincorrono da una vita all'altra. Un gioco di realta virtuale dove il cacciatore della temibile vedova nera ne diviene la preda."

Una pioggia di schegge stermina il popolo dell'isola di Turios. Si salvano Bashinoir, gravemente ferito, sua moglie Lil e la sacerdotessa Miril. Vorrebbero dare degna sepoltura ai propri cari, ma i cadaveri sono scomparsi. L'unica speranza di salvezza risiede nelle protezioni magiche del Tempio. Tuttavia devono far fronte a minacce oscure. Un'ombra infesta i loro cuori per dividerli e distruggerli. I loro corpi sembrano perdere sempre piu consistenza. Alla vicinanza tra le due donne si contrappone il sempre piu marcato isolamento di Bashinoir. Nel regno di Isk, maghi e consiglieri devono sottostare all'insaziabile ingordigia di sesso, guerra e potere di re Beanor. L'ultima delle sue giovani mogli, tuttavia, non si da pace per la liberta e l'amore perduti. Potranno i giochi e gli inganni sotto le lenzuola essere la chiave di svolta di una guerra millenaria?"

Multilayer networks, in particular multilayer social networks, where users belong to and interact on different networks at the same time, are an active research area in social network analysis, computer science, and physics. These networks have traditionally been studied within these separate research communities, leading to the development of several independent models and methods to deal with the same set of problems. This book unifies and consolidates existing practical and theoretical knowledge on multilayer networks including data collection and analysis, modeling, and mining of multilayer social network systems, the evolution of interconnected social networks, and dynamic processes such as information spreading. A single real dataset is used to illustrate the concepts presented throughout the book, demonstrating both the practical utility and the potential shortcomings of the various methods. Researchers from all areas of network analysis will learn new aspects and future directions of this emerging field.