Informs Annual Meeting Phoenix 2018

INFORMS Phoenix – 2018

WD27

platform management. In our study, we focus on the impact of platform features on attracting new users. Our empirical context is the hashtags used on Twitter to discover and contribute to user-generated content around a specific theme. In that context, we ask following questions 1. Do hashtags play a role in attracting new users? 2. Do different types of hashtags have a different impact on attracting new users? 3. Do these users continue to use the platform? We analyze more than 13 million tweets generated in 2016 and 2017 to address these questions. 2 - A Reputation and Credit-based Retrieval System for Hybrid Wireless Networks Yung-Ting Chuang, National Chung Cheng University, Min-Hsiung Township, Chia-Yi County, Taiwan Currently, trust in information accessed via the Internet depends on its unbiased centralized systems to ensure high efficiency and low cost, but we cannot guarantee such centralized systems to remain unbiased forever. As mobile devices are becoming the primary devices for communications, the network has shifted to hybrid wireless network (HWN). Thus, I propose a system for HWN which: 1) resolves the censorship issues; 2) addresses forwarding attacks; 3) encourages cooperation incentives; 4) ensuring low overhead and high retrieval rates. After implementing this system, I plan to measure my system against other existing retrieval systems, and confirm its effectiveness. 3 - Data Breach Disclosure Laws and Digital Security Conscientiousness Raviv Murciano-Goroff, Graduate Student, Stanford University, 579 Serra Mall, Stanford, CA, 94305, United States In 2002, California enacted a law requiring that companies publicly disclose data breaches. To evaluate the impact of data breach notification laws, I collected data on the decisions of 2,185 public companies regarding when to update their web server software and apply security patches during the two years before and after the California legislation was signed. Using a difference-in-difference strategy, I find that the data breach notification law in California caused firms based there to use web server software that was 12.06% newer. 4 - A Clustering Based Decision Tree Approach for Risk Assessment of Information Security in Smart Cities Yana Yuan, PhD Candidate, Northwestern Polytechnical University, Xi’an, 710129, China, Huaqi Chai The emergence of new information technologies poses challenges to information security in smart cities. Risk is the most prominent challenge. In this paper, we analyze the impact factors of information security in smart cities and evaluate the risks that these factors bring to information security. We aim at establishing a new evaluation index system and building a risk assessment model based on Ward’s method and decision tree. Then we present an empirical study on risk assessment of information security in 15 smart cities. We provide a data-based and intelligent method to assess the risks of information security, and give solutions to address the challenges for information security in smart cities. 5 - A Game-theoretic Model of Protecting Interdependent Systems with Incomplete Information Fei He, Texas A&M University - Kingsville, MSC 191, MEIE Dept., 700 University Blvd., Kingsville, TX, 78363, United States Securing a complex system in the face of adversary attacks is challenging because of many factors, such as the coupling between constituent systems, the adaptiveness of attackers, and uncertainty of both systems and attackers. We propose a new game-theoretic model of protecting interdependent systems with incomplete information. By analytically and numerically solving the model, we analyze the effects of system interdependency pattern, and the uncertainty of attacker’s attack preference to defense strategies at Nash equilibria. The research provides new insights for system design, and optimal defense strategy for infrastructures such as telecommunication networks, and power grids. 6 - The Effect of Prefunding on Crowdfunding Success Xiahua Wei, University of Washington, Bothell, 18115 Campus Way NE, Box 358584, Bothell, WA, 98011, United States, Weijia You, Ming Fan, Yong Tan We investigate the effect of prefunding on the success of crowdfunding. Using a daily panel dataset from a large online crowdfunding platform, we examine the dynamic effects of prefunding on fund raised and different types of backers, and find that prefunding attracts lottery backers and non-lottery backers differently. We also use counterfactual decomposition to distinguish the prefunding effect and the effect of project characteristics on funding outcomes, which helps us uncover the kind of projects that succeed through prefunding.

n WD26 North Bldg 132A Design and Operation of Interdependent Critical Infrastructure Systems Sponsored: Service Science Sponsored Session Chair: Ann Suhaimi, Northeastern University, Somerville, MA, 02145, United States Co-Chair: Jacqueline Griffin, Northeastern University, Boston, MA, 02115, United States 1 - Design and Control of Resilient Interdependent Infrastructures Hana Khamfroush, University of Kentucky In this talk I explain a general analytic model that captures multiple types of interdependency among nodes of interdependent infrastructures. Given an initial failure this model allows us to analyze the impact of different network topologies, different types of coupling, different failure/attack models, and different ways of choosing initial spreaders on the propagation of failures in such networks. Based on our observations, we propose design guidelines for resiliency of interdependent infrastructures. We also propose a new metric of centrality designed for interdependent networks. We will compare the preciseness of the proposed metric with the standard centrality metrics. 2 - Cyber-physical Attacks Recovery in Interdependent Power and Communication Systems Wei Sun, Assistant Professor, University of Central Florida, Orlando, FL, 32816, United States The increasing threats from natural disasters and cyber attacks on cyber and physical systems (CPS) could trigger catastrophic events and cause tremendous damage to physical systems. The interdependency between CPS drastically increase the complexity of enhancing CPS security and resiliency. This talk will introduce the adaptive and resilient restoration strategies that coordinate the recovery efforts between power and communication systems. Challenges and recommendations will be discussed on building a secure and resilient nation, ultimately self-healing from cyber-physical attacks. 3 - Examining the Joint Role of Load Shedding and Emergency Services Effectiveness during Critical Events Ann Suhaimi, Northeastern University, Somerville, MA, 02145, United States, Jacqueline Griffin Load shedding refers to power outages that occur by design by the utility companies to ensure that certain areas will not experience disruption in power especially during natural disaster. While load shedding commonly addressed in many studies, the effects of load shedding, especially on the greater population is still absent. This study aims to estimate the stress on EMS deployment that occurs after power is lost due to load shedding using Vehicle Routing Problem that is the core of EMS fleet deployment. We develop a model accounting for human cost to understand the relationship between power loss, load shedding, and EMS response time. 4 - System of Systems Modeling for Incentive Policy Design in Promoting Electric Vehicle Transport Chao Lei, University of Illinois at Urbana-Champaign, Liqun Lu, Yanfeng Ouyang Encouraging travels with electric vehicles (EVs) has been recognized as an effective and economical approach to reducing greenhouse gas emissions. Economic concerns and travel conveniences are two crucial factors affecting EV ownership and usage. We propose a system of systems (SOS) model to help the government decide the optimal EV purchase incentivization and charging infrastructure deployment while considering the interdependency among the transportation, power, and environment systems and the EV market. Charging infrastructure deployment is modeled as a bi-level problem accounting for users’ travel choices. An iterative-based algorithm is developed to solve the proposed model. n WD27 North Bldg 132B Information Systems II Contributed Session Chair: Xiahua Wei, University of Washington, Bothell, WA, 98011, United States 1 - The Impact of Platform Levers on Ecosystem Development: The Case of Twitter Hashtags Sameer Borwankar, PhD Student, Purdue University, West Lafayette, IN, United States Social media platforms generate revenue through advertising or transaction based charges. Hence, growing and managing the active users is at the core of the

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