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Social and Behavioral Sciences Commons

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Full-Text Articles in Social and Behavioral Sciences

Tracking Virality And Susceptibility In Social Media, Tuan Anh Hoang, Ee-Peng Lim Oct 2016

Tracking Virality And Susceptibility In Social Media, Tuan Anh Hoang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

In social media, the magnitude of information propagation hinges on the virality and susceptibility of users spreading and receiving the information respectively, as well as the virality of information items. These users' and items' behavioral factors evolve dynamically at the same time interacting with one another. Previous works however measure the factors statically and independently in a restricted case: each user has only a single adoption on each item, and/or users' exposure to items are observable. In this work, we investigate the inter-relationship among the factors and users' multiple adoptions on items to propose both new static and temporal models …


Microblogging Content Propagation Modeling Using Topic-Specific Behavioral Factors, Tuan Anh Hoang, Ee-Peng Lim Sep 2016

Microblogging Content Propagation Modeling Using Topic-Specific Behavioral Factors, Tuan Anh Hoang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

When a microblogging user adopts some content propagated to her, we can attribute that to three behavioral factors, namely, topic virality, user virality, and user susceptibility. Topic virality measures the degree to which a topic attracts propagations by users. User virality and susceptibility refer to the ability of a user to propagate content to other users, and the propensity of a user adopting content propagated to her, respectively. In this paper, we study the problem of mining these behavioral factors specific to topics from microblogging content propagation data. We first construct a three dimensional tensor for representing the propagation instances. …


User Behavior Mining In Microblogging, Tuan Anh Hoang Jun 2016

User Behavior Mining In Microblogging, Tuan Anh Hoang

Dissertations and Theses Collection (Open Access)

This dissertation addresses the modeling of factors concerning microblogging users' content and behavior. We focus on two sets of factors. The first set includes behavioral factors of users and content items driving content propagation in microblogging. The second set consists of latent topics and communities of users as the users are engaged in content generation and behavior adoptions. These two sets of factors are extremely important in many applications, e.g., network monitoring and recommender systems. In the first part of this dissertation, we identify user virality, user susceptibility, and content virality as three behavioral factors that affect users' behaviors in …


Tracking User Behavior With Google Analytics Events On An Academic Library Website, Amy Vecchione, Deana Brown, Elizabeth Allen, Amanda Baschnagel May 2016

Tracking User Behavior With Google Analytics Events On An Academic Library Website, Amy Vecchione, Deana Brown, Elizabeth Allen, Amanda Baschnagel

Library Faculty Publications and Presentations

The primary purpose of an academic library website is to serve as a portal to library-acquired content. Navigational design of a library website affects the user’s ability to find and access content. At Albertsons Library, the goal of the navigational design of the website is to mimic user behavior on the website to help them access information and articles from over 300 different library vendors. Coordinating with different vendors makes tracking the navigational flow of user behavior difficult with the tool Google Analytics. Using the events feature in Google Analytics, the team responsible for web design was able to track …


Want To See The Sites? Better Find A Better Guide: Do Popular Search Engines Return Librarian-Recommended Sites?, David Tyler, Scott Childers, Mary Elizabeth Mcneil, Alicia Dostal Apr 2016

Want To See The Sites? Better Find A Better Guide: Do Popular Search Engines Return Librarian-Recommended Sites?, David Tyler, Scott Childers, Mary Elizabeth Mcneil, Alicia Dostal

Beth McNeil

This paper presents the results of a study of the utility of several popular search engines and of two newer search engines with respect to librarian-selected lists of Web resources and internet searching behaviors. This study addresses whether said resources are returned where internet searchers could reasonably be expected to find them and whether the search engines employed serve as acceptable substitutes for the expert advice of librarians. Search engines included in the study were Google, MSN.com, Yahoo, Lycos, AskJeeves, Icerocket, and Acoona. Searches for the study were based on the topics/titles of the “Internet Resources” columns from College and …