The emergence of multilayer networks as a concept from the field of complex systems provides many new opportunities for the visualization of network complexity, and has also raised many new exciting challenges. The multilayer network model recognizes that the complexity of relationships between entities in real-world systems is better embraced as several interdependent subsystems (or layers) rather than a simple graph approach. Despite only recently being formalized and defined, this model can be applied to problems in the domains of life sciences, sociology, digital humanities, and more. Within the domain of network visualization there already are many existing systems, which visualize data sets having many characteristics of multilayer networks, and many techniques, which are applicable to their visualization. In this Synthesis Lecture, we provide an overview and structured analysis of contemporary multilayer network visualization. This is not only for researchers in visualization, but also for those who aim to visualize multilayer networks in the domain of complex systems, as well as those solving problems within application domains. We have explored the visualization literature to survey visualization techniques suitable for multilayer network visualization, as well as tools, tasks, and analytic techniques from within application domains. We also identify the research opportunities and examine outstanding challenges for multilayer network visualization along with potential solutions and future research directions for addressing them.
NEW YORK TIMES BESTSELLER NEW YORK TIMES • 10 BEST BOOKS OF THE YEAR NATIONAL BESTSELLER The Atlantic: 10 Best Books of 2022 Best Books of the Year: Washington Post, New Yorker, Salon, Foreign Affairs, New Statesman, Chicago Public Library, Vroman's “[L]ike reading a great tragicomic Irish novel.” —James Wood, The New Yorker “Masterful . . . astonishing.” —Cullen Murphy, The Atlantic "A landmark history . . . Leavened by the brilliance of O'Toole's insights and wit.” —Claire Messud, Harper’s Winner • 2021 An Post Irish Book Award — Nonfiction Book of the Year • from the judges: “The most remarkable Irish nonfiction book I’ve read in the last 10 years”; “[A] book for the ages.” A celebrated Irish writer’s magisterial, brilliantly insightful chronicle of the wrenching transformations that dragged his homeland into the modern world. Fintan O’Toole was born in the year the revolution began. It was 1958, and the Irish government—in despair, because all the young people were leaving—opened the country to foreign investment and popular culture. So began a decades-long, ongoing experiment with Irish national identity. In We Don’t Know Ourselves, O’Toole, one of the Anglophone world’s most consummate stylists, weaves his own experiences into Irish social, cultural, and economic change, showing how Ireland, in just one lifetime, has gone from a reactionary “backwater” to an almost totally open society—perhaps the most astonishing national transformation in modern history. Born to a working-class family in the Dublin suburbs, O’Toole served as an altar boy and attended a Christian Brothers school, much as his forebears did. He was enthralled by American Westerns suddenly appearing on Irish television, which were not that far from his own experience, given that Ireland’s main export was beef and it was still not unknown for herds of cattle to clatter down Dublin’s streets. Yet the Westerns were a sign of what was to come. O’Toole narrates the once unthinkable collapse of the all-powerful Catholic Church, brought down by scandal and by the activism of ordinary Irish, women in particular. He relates the horrific violence of the Troubles in Northern Ireland, which led most Irish to reject violent nationalism. In O’Toole’s telling, America became a lodestar, from John F. Kennedy’s 1963 visit, when the soon-to-be martyred American president was welcomed as a native son, to the emergence of the Irish technology sector in the late 1990s, driven by American corporations, which set Ireland on the path toward particular disaster during the 2008 financial crisis. A remarkably compassionate yet exacting observer, O’Toole in coruscating prose captures the peculiar Irish habit of “deliberate unknowing,” which allowed myths of national greatness to persist even as the foundations were crumbling. Forty years in the making, We Don’t Know Ourselves is a landmark work, a memoir and a national history that ultimately reveals how the two modes are entwined for all of us.
Richie Hogan stands among the legends of hurling, a seven-time All- Ireland senior medallist and a recipient of multiple individual awards. With Kilkenny hurling in his blood, Richie didn't just dream of greatness – he relentlessly pursued it. Every day, he strategised on how to reach the pinnacle of the sport he cherished and, once there, how to remain at the top. Richie's illustrious career brought him moments of profound triumph and heart-wrenching defeat. But his success was no accident; it was the result of unwavering focus. Every decision – from his education to his career and lifestyle – was shaped by his dedication to hurling. In this candid account, Richie unveils the story of his extraordinary journey. He shares his obsession with upholding the highest standards in the Kilkenny team under the legendary Brian Cody, the defining moments on the field, and the challenges and injuries that almost derailed his path. This is an unflinching look inside one of the greatest hurling teams ever assembled, as told by one of its most iconic leaders.
In this important book, historians, lawyers, economists and writers come together to put a coherent case: that although the Irish economic collapse has resulted in national humiliation, renewed emigration and a decline in living standards for the majority of the population, there is still hope that the country can be reformed and renewed. Irish politicians offered the now notorious blanket guarantee to all the banks which had got in over their heads during the great property bubble - including one that had become little more than a criminal enterprise. A different set of politicians grimly enforces the consequences of that guarantee, locking an entire generation of Irish men and women into paying for the mistakes of greedy bankers and their corrupt friends in government. The energy of hope has to come from elsewhere. These essays demonstrate how simple measures and different economic and social policies could release that energy and fulfil the promise of an educated, literate and culturally vibrant people.
This is an overview and structured analysis of contemporary multilayer network visualization. It surveys techniques as well as tools, tasks, and analytics from within application domains. It also identifies research opportunities and examines outstanding challenges along with potential solutions and future research directions for addressing them. Visual Analysis of Multilayer Networks is not only for visualization researchers, but for those who need to visualize multilayer networks in the domain of complex systems, as well as anyone solving problems within application domains. The emergence of multilayer networks as a concept from the field of complex systems provides many new opportunities for the visualization of network complexity, and has also raised many new exciting challenges. The multilayer network model recognizes that the complexity of relationships between entities in real-world systems is better embraced as several interdependent subsystems (or layers) rather than a simple graph approach. Despite only recently being formalized and defined, this model can be applied to problems in the domains of life sciences, sociology, digital humanities, and more. Within the domain of network visualization there already are many existing systems, which visualize data sets having many characteristics of multilayer networks, and many techniques, which are applicable to their visualization.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.