Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment

Understanding mobile traffic patterns of large scale cellular towers in urban environment is extremely valuable for Internet service providers, mobile users, and government managers of modern metropolis. This paper aims at extracting and modeling the traffic patterns of large scale towers deployed in a metropolitan city. To achieve this goal, we need to address several challenges, including lack of appropriate tools for processing large scale traffic measurement data, unknown traffic patterns, as well as handling complicated factors of urban ecology and human behaviors that affect traffic patterns. Our core contribution is a powerful model which combines three dimensional information (time, locations of towers, and traffic frequency spectrum) to extract and model the traffic patterns of thousands of cellular towers. Our empirical analysis reveals the following important observations. First, only five basic time-domain traffic patterns exist among the 9,600 cellular towers. Second, each of the extracted traffic pattern maps to one type of geographical locations related to urban ecology, including residential area, business district, transport, entertainment, and comprehensive area. Third, our frequency-domain traffic spectrum analysis suggests that the traffic of any tower among the 9,600 can be constructed using a linear combination of four primary components corresponding to human activity behaviors. We believe that the proposed traffic patterns extraction and modeling methodology, combined with the empirical analysis on the mobile traffic, pave the way toward a deep understanding of the traffic patterns of large scale cellular towers in modern metropolis.Comment: To appear at IMC 201

Making Out-of-School Time Matter: Evidence for an Action Agenda

Presents findings from a review of literature that identifies and addresses the level of demand for OST services, the effectiveness of the offerings, quality in OST programs, how to encourage participation, and how to build further community capacity

Extroverts Tweet Differently from Introverts in Weibo

Being dominant factors driving the human actions, personalities can be excellent indicators in predicting the offline and online behavior of different individuals. However, because of the great expense and inevitable subjectivity in questionnaires and surveys, it is challenging for conventional studies to explore the connection between personality and behavior and gain insights in the context of large amount individuals. Considering the more and more important role of the online social media in daily communications, we argue that the footprint of massive individuals, like tweets in Weibo, can be the inspiring proxy to infer the personality and further understand its functions in shaping the online human behavior. In this study, a map from self-reports of personalities to online profiles of 293 active users in Weibo is established to train a competent machine learning model, which then successfully identifies over 7,000 users as extroverts or introverts. Systematical comparisons from perspectives of tempo-spatial patterns, online activities, emotion expressions and attitudes to virtual honor surprisingly disclose that the extrovert indeed behaves differently from the introvert in Weibo. Our findings provide solid evidence to justify the methodology of employing machine learning to objectively study personalities of massive individuals and shed lights on applications of probing personalities and corresponding behaviors solely through online profiles.Comment: Datasets of this study can be freely downloaded through: https://doi.org/10.6084/m9.figshare.4765150.v

Toward a Library Renaissance

For centuries, librarians have tried to safeguard information, sometimes in the face of destruction. Think of the great Library of Alexandria, the burning of which symbolizes the irretrievable loss of knowledge. Think also of Umberto Eco\u27s novel, The Name of the Rose, and the (fictitious) 14th-century story about the search for a lost volume of Aristotle that no one is allowed to read—but yet must be preserved—because it might reveal that Jesus could and did laugh, contrary to the death-obsessed zeitgeist of the time. Fast-forward to the age of the internet, when some fear libraries are again being destroyed and many ask: Who wants libraries when you have Google? This is not an easy question to address but one need not yield to pessimism. This paper argues that identifiable trends direct to a promising future: in light of these, one should be able to circumscribe plausible scenarios. Approaches to strategic planning that count on ownership should make a big difference and point to desirable skills for librarians. If they also invest in resilience and give unequivocal attention to branding, libraries can enjoy a renaissance

Monitoring What Matters About Context and Instruction in Science Education: A NAEP Data Analysis Report

This report explores background variables in the National Assessment of Educational Progress (NAEP) to examine key context and instructional factors behind science learning for eighth grade students. Science education is examined from five perspectives: student engagement in science, science teachers' credentials and professional development, availability and use of science resources, approaches to science instruction, and methods and uses of science assessment