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Influence maximization is the problem of finding influential users, or nodes, in a graph so as to maximize the spread of information. It has many applications in advertising and marketing […]
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This article formulates a five-point agenda for audience research, drawing on implications arising out of a systematic foresight analysis exercise on the field of audience research, conducted between 2014 and […]
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The social influence maximization problem is an important research topic for many years since it has a tremendous impact on society. As social influence can be maximized for many purposes, […]
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The paper proposes a framework for modeling influential bloggers on the web by studying the blogosphere for additional parameters that can be used in identifying influential blogger. Design/Methodology/Approach: The paper […]
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Personal electronic devices including smartphones give access to behavioural signals that can be used to learn about the characteristics and preferences of individuals. In this study, we explore the connection […]
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Over the past decade, a growing body of scholarship in media studies and other cognate disciplines has focused our attention on the social, material, cultural, and political dimensions of the […]
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This article explores interpersonal and human–computer interaction in the era of big data through the lens of Martin Buber’s relational ethics. Doing theory otherwise, it analyses the importance of other […]
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Community detection is a pivotal task for understanding user behaviors in online social networks, in which a third-party server can partition the users with close social relationships and similar behaviors […]
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Event detection has been a significant topic for a long time, since the onset development of pervasive systems. The ability to gather data from various sensors, in a diverse number […]
