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Preview: Internet Computing, IEEE - new TOC

IEEE Internet Computing - new TOC



TOC Alert for Publication# 4236



 



Front Cover

November/December 2017

While currently intended for sharing personal content, future social media applications could support broader interactions, including business and government. Such applications could use agents that form communities, foster communications, vote, and collaborate to formulate policies and reach decisions. This special issue addresses several of the ways that software agent capabilities intersect with the demands of social media.









Table of Contents

November/December 2017




Masthead

November/December 2017




Agents for Social Media

November/December 2017

While currently intended for sharing personal content, future social media applications could support broader interactions, including business and government. Such applications could use agents that form communities, foster communications, vote, and collaborate to formulate policies and reach decisions. This special issue addresses several of the ways that software agent capabilities intersect with the demands of social media.



Reasoning about Sentiment and Knowledge Diffusion in Social Networks

November/December 2017

Social media platforms, taken in conjunction, can be seen as complex networks; in this context, understanding how agents react to sentiments expressed by their connections is of great interest. Here, the authors show how Network Knowledge Bases help represent the integration of multiple social networks, and explore how information flow can be handled via belief revision operators for local (agent-specific) knowledge bases. They report on preliminary experiments on Twitter data showing that different agent types react differently to the same information — this is a first step toward developing tools to predict how agents behave as information flows in their social environment.



PACMAN: Personal Agent for Access Control in Social Media

November/December 2017

Given social media users’ plethora of interactions, appropriately controlling access to such information becomes a challenging task for users. Selecting the appropriate audience, even from within their own friend network, can be fraught with difficulties. PACMAN is a potential solution for this dilemma problem. It’s a personal assistant agent that recommends personalized access control decisions based on the social context of any information disclosure by incorporating communities generated from the user’s network structure and utilizing information in the user’s profile. PACMAN provides accurate recommendations while minimizing intrusiveness.



2018 Editorial Calendar

November/December 2017




SoSharP: Recommending Sharing Policies in Multiuser Privacy Scenarios

November/December 2017

Users often share information about others; sometimes this inadvertently violates others’ privacy. Thus, here the authors propose SoSharP, an agent-based approach to help users maintain their own and others’ privacy by guiding a selection of sharing policies in multiuser scenarios. SoSharP learns incrementally and asks for users’ input only when required, reducing users’ effort.



Nowcasting of Earthquake Consequences Using Big Social Data

November/December 2017

Messages posted to social media in the aftermath of a natural disaster have value beyond detecting the event itself. Mining such deliberately dropped digital traces allows a precise situational awareness, to help provide a timely estimate of the disaster’s consequences on the population and infrastructures. Yet, to date, the automatic assessment of damage has received little attention. Here, the authors explore feeding predictive models by tweets conveying on-the-ground social sensors’ observations, to nowcast the perceived intensity of earthquakes.



Is Bigger Better When It Comes to Android Graphical Pattern Unlock?

November/December 2017

Android unlock patterns are likely the most prevalent graphical password system to date. However, human-chosen authentication stimuli (such as text passwords and PINs) are easy to guess. Does increasing the grid size from 3 × 3 to 4 × 4 help the situation? Yes and no.



Enabling “Protocol Routing”: Revisiting Transport Layer Protocol Design in Internet Communications

November/December 2017

It’s time to rethink the way networking stacks are implemented and leveraged for next-generation Internet applications. NeuroStack (nStack) is a nimble, extendable transport protocol framework and runtime that enables application-transparent and dynamic new protocol engagement and adaption.



A Layered Model for AI Governance

November/December 2017

AI-based systems are “black boxes,” resulting in massive information asymmetries between the developers of such systems and consumers and policymakers. In order to bridge this information gap, this article proposes a conceptual framework for thinking about governance for AI.



Desirable Properties of Internet Identifiers

November/December 2017

With more than 30 years since the Internet’s inception, Internet identifier spaces need an overhaul to make them more useful. Here, Vint Cerf explores why this exceptional challenge is easier said than done.



Call for Papers

November/December 2017




myCS

November/December 2017