India's over 200 million Dalits, once called "untouchables," have been mobilized by social movements and political parties, but the outcomes of this mobilization are puzzling. Dalits' ethnic parties have performed poorly in elections in states where movements demanding social equality have been strong while they have succeeded in states where such movements have been entirely absent or weak. In Mobilizing the Marginalized, Amit Ahuja demonstrates that the collective action of marginalized groups-those that are historically stigmatized and disproportionately poor - is distinct. Drawing on extensive original research conducted across four of India's largest states, he shows, for the marginalized, social mobilization undermines the bloc voting their ethnic parties' rely on for electoral triumph and increases multi-ethnic political parties' competition for marginalized votes. He presents evidence showing that a marginalized group gains more from participating in a social movement and dividing support among parties than from voting as a bloc for an ethnic party.

An overarching exploration of the Indian state's approaches, laws, and organizations that maintain order and contain violence. Maintaining order and containing violence-the core constituents of internal security-are fundamental responsibilities of any government. Yet, developing countries find this task especially challenging. In Internal Security in India, Amit Ahuja, Devesh Kapur, and a cast of leading scholars on the subject focus on India's security and the threats it faces. Since Independence, the Indian state has grappled with a variety of internal security challenges, including insurgencies, terrorist attacks, caste and communal violence, riots, and electoral violence. Their toll has claimed more lives than all of India's five external wars put together. As the contributors in this volume analyze how the Indian State has managed the core concern of internal security over time, they address three broad questions: How well has India contained violence and preserved order? How have the approaches and capacity of the State evolved to attain these twin objectives? And what implications do the State's approach towards internal security have for civil liberties and the quality of democracy? A major reinterpretation of order and internal security in India, this book sheds light on an underanalyzed issue of global import given the changing nature of threats that states face.

An overarching exploration of the Indian state's approaches, laws, and organizations that maintain order and contain violence. Maintaining order and containing violence-the core constituents of internal security-are fundamental responsibilities of any government. Yet, developing countries find this task especially challenging. In Internal Security in India, Amit Ahuja, Devesh Kapur, and a cast of leading scholars on the subject focus on India's security and the threats it faces. Since Independence, the Indian state has grappled with a variety of internal security challenges, including insurgencies, terrorist attacks, caste and communal violence, riots, and electoral violence. Their toll has claimed more lives than all of India's five external wars put together. As the contributors in this volume analyze how the Indian State has managed the core concern of internal security over time, they address three broad questions: How well has India contained violence and preserved order? How have the approaches and capacity of the State evolved to attain these twin objectives? And what implications do the State's approach towards internal security have for civil liberties and the quality of democracy? A major reinterpretation of order and internal security in India, this book sheds light on an underanalyzed issue of global import given the changing nature of threats that states face.

India's over 200 million Dalits, once called "untouchables," have been mobilized by social movements and political parties, but the outcomes of this mobilization are puzzling. Dalits' ethnic parties have performed poorly in elections in states where movements demanding social equality have been strong while they have succeeded in states where such movements have been entirely absent or weak. In Mobilizing the Marginalized, Amit Ahuja demonstrates that the collective action of marginalized groups-those that are historically stigmatized and disproportionately poor - is distinct. Drawing on extensive original research conducted across four of India's largest states, he shows, for the marginalized, social mobilization undermines the bloc voting their ethnic parties' rely on for electoral triumph and increases multi-ethnic political parties' competition for marginalized votes. He presents evidence showing that a marginalized group gains more from participating in a social movement and dividing support among parties than from voting as a bloc for an ethnic party.

A data stream being transmitted over a network channel with capacity less than the data transmission rate of the data stream causes sequential network problems. In this book, we present a new approach for shedding less-informative attribute data from a data stream to maintain the data transmission rate less than the network channel capacity. A scheme for shedding attributes, instead of tuples, becomes imperative in stream data, since shedding a complete tuple would lead to shedding some informative, as well as less-informative, attribute data in the tuple. Since data shed at the source site may be of interest to the user at the destination site, we design a data recovery approach, which maintains the minimal amount of information for data recovery purpose while imposing minimal overhead for data recovery on the source site. Our load shedding and data recovery approach (i) handles wide range of data streams in different application domains, (ii) is dynamic in nature, since each load shedding scheme adjusts the amount of data to be shed according to the current load and network capacity, and (iii) is adoptive, which is appealing in an ever-changing network environment, and (iv) is not based on queries, but works on general data streams instead. The book is addressed to professionals in Digital Telecommunications, Streaming Data, Computer Networking, and Databases. It is also directed towards researchers in Data compression, Lossy Data Reduction, and Congestion Control.