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Proceedings of the 2nd International Workshop on Social Sensing最新文献

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Integration of Social Behavioral Modeling for Energy Optimization in Smart Environments 智能环境下能源优化的社会行为模型集成
Proceedings of the 2nd International Workshop on Social Sensing Pub Date : 2017-04-18 DOI: 10.1145/3055601.3055618
S. Silvestri, Denise A. Baker, Valeria Dolce
{"title":"Integration of Social Behavioral Modeling for Energy Optimization in Smart Environments","authors":"S. Silvestri, Denise A. Baker, Valeria Dolce","doi":"10.1145/3055601.3055618","DOIUrl":"https://doi.org/10.1145/3055601.3055618","url":null,"abstract":"A key requirement for success of smart home energy management systems is understanding the user's psychological perception of a smart environments, and the design of control strategies that specifically take into account such dimensions in system operation. We discuss how our research develops psychological models and integrates them with optimization and machine learning techniques to realize social and behavioral aware energy optimization methodologies for smart homes.","PeriodicalId":360957,"journal":{"name":"Proceedings of the 2nd International Workshop on Social Sensing","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125670281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Social Sensing in Developing Regions: Challenges for Bus Arrival Time Prediction 发展中地区的社会感知:公交车到达时间预测的挑战
Proceedings of the 2nd International Workshop on Social Sensing Pub Date : 2017-04-18 DOI: 10.1145/3055601.3055622
Teógenes Moura, G. B. Kalejaiye, Henrique R. Orefice, Matheus Bafutto, Marcelo M. Carvalho
{"title":"Social Sensing in Developing Regions: Challenges for Bus Arrival Time Prediction","authors":"Teógenes Moura, G. B. Kalejaiye, Henrique R. Orefice, Matheus Bafutto, Marcelo M. Carvalho","doi":"10.1145/3055601.3055622","DOIUrl":"https://doi.org/10.1145/3055601.3055622","url":null,"abstract":"The design of crowdsourcing applications to supplement public transportation information systems have generally assumed availability of high-speed Internet connection coupled with high data sampling and gathering via data-hungry application interfaces. But, in developing regions, low-income users generally avoid the use of data-intensive applications over the Internet connection provided by their mobile operator. Such restriction imposes key constraints and challenges on the design of social sensing applications targetted at low-income communities. In particular, the design of crowdsourcing applications for bus arrival time prediction in developing regions should seek high accurate prediction based on minimal data gathering and infrequent data sampling.","PeriodicalId":360957,"journal":{"name":"Proceedings of the 2nd International Workshop on Social Sensing","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129408491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Unsupervised Event Tracking by Integrating Twitter and Instagram 整合Twitter和Instagram的无监督事件跟踪
Proceedings of the 2nd International Workshop on Social Sensing Pub Date : 2017-04-18 DOI: 10.1145/3055601.3055615
Shiguang Wang, P. Giridhar, Lance M. Kaplan, T. Abdelzaher
{"title":"Unsupervised Event Tracking by Integrating Twitter and Instagram","authors":"Shiguang Wang, P. Giridhar, Lance M. Kaplan, T. Abdelzaher","doi":"10.1145/3055601.3055615","DOIUrl":"https://doi.org/10.1145/3055601.3055615","url":null,"abstract":"This paper proposes an unsupervised framework for tracking real world events from their traces on Twitter and Instagram. Empirical data suggests that event detection from Instagram streams errs on the false-negative side due to the relative sparsity of Instagram data (compared to Twitter data), whereas event detection from Twitter can suffer from false-positives, at least if not paired with careful analysis of tweet content. To tackle both problems simultaneously, we design a unified unsupervised algorithm that fuses events detected originally on Instagram (called I-events) and events detected originally on Twitter (called T-events), that occur in adjacent periods, in an attempt to combine the benefits of both sources while eliminating their individual disadvantages. We evaluate the proposed framework with real data crawled from Twitter and Instagram. The results indicate that our algorithm significantly improves tracking accuracy compared to baselines.","PeriodicalId":360957,"journal":{"name":"Proceedings of the 2nd International Workshop on Social Sensing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130662260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Audio Analysis as a Control Knob for Social Sensing 音频分析作为社会感知的控制旋钮
Proceedings of the 2nd International Workshop on Social Sensing Pub Date : 2017-04-18 DOI: 10.1145/3055601.3055616
D. Verma, Bongjun Ko, Shiqiang Wang, Xiping Wang, G. Bent
{"title":"Audio Analysis as a Control Knob for Social Sensing","authors":"D. Verma, Bongjun Ko, Shiqiang Wang, Xiping Wang, G. Bent","doi":"10.1145/3055601.3055616","DOIUrl":"https://doi.org/10.1145/3055601.3055616","url":null,"abstract":"While humans can act as effective sensors, human input is subject to a high degree of error and highly dependent on the context. Furthermore, extracting the signal from the noise for social sensing is a difficult challenge. One approach to improving the accuracy of social sensing is to use physical sensors as a control knob for social sensing algorithms. In this paper, we present an architecture for using audio sensors as a way to control an algorithm used for social sensing of interesting events. We present various use cases where the architecture is applicable, and go into the details of one specific use case, namely using crowd behavior in a golf-course to identify and control social media feeds related to the course.","PeriodicalId":360957,"journal":{"name":"Proceedings of the 2nd International Workshop on Social Sensing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116205311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Heterogeneous Social Signals Capturing Real-world Diffusion Processes 捕捉现实世界扩散过程的异质社会信号
Proceedings of the 2nd International Workshop on Social Sensing Pub Date : 2017-04-18 DOI: 10.1145/3055601.3055617
Minkyoung Kim, R. Jurdak
{"title":"Heterogeneous Social Signals Capturing Real-world Diffusion Processes","authors":"Minkyoung Kim, R. Jurdak","doi":"10.1145/3055601.3055617","DOIUrl":"https://doi.org/10.1145/3055601.3055617","url":null,"abstract":"We propose research directions to model a holistic and general diffusion framework by considering heterogeneous social signals as contextual inputs and by incorporating universal components of real-world diffusion dynamics.","PeriodicalId":360957,"journal":{"name":"Proceedings of the 2nd International Workshop on Social Sensing","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131514964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Sensing User-Generated Multimedia Traffic 感知用户生成的多媒体流量
Proceedings of the 2nd International Workshop on Social Sensing Pub Date : 2017-04-18 DOI: 10.1145/3055601.3055612
Brad Rougeau, Mea Wang
{"title":"Sensing User-Generated Multimedia Traffic","authors":"Brad Rougeau, Mea Wang","doi":"10.1145/3055601.3055612","DOIUrl":"https://doi.org/10.1145/3055601.3055612","url":null,"abstract":"Internet traffic is increasingly dominated by user-generated content, predominantly by multimedia content (photos and videos). The content is primarily shared in online social networks (OSNs) such as Pinterest, Twitter, and Facebook. In this paper, we inspect the traffic imposed by user-generated multimedia content in OSNs. To do so, we developed Viewcount, a Facebook application, in which participating users act as sensors for this study and help us to collect traces of user-generated multimedia traffic. Through analyzing social activities around user-generated multimedia content (such as user demographics and viewing distributions), we drew insightful observations correlating demographics and social activities to network traffic. These observations shed light on the design of next-generation platforms for sharing user-generated multimedia content.","PeriodicalId":360957,"journal":{"name":"Proceedings of the 2nd International Workshop on Social Sensing","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131817905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Airborne Disease Propagation on Large Scale Social Contact Networks 大规模社会联系网络中的空气传播疾病
Proceedings of the 2nd International Workshop on Social Sensing Pub Date : 2017-04-18 DOI: 10.1145/3055601.3055604
M. Shahzamal, R. Jurdak, R. Arablouei, Minkyoung Kim, Kanchana Thilakarathna, B. Mans
{"title":"Airborne Disease Propagation on Large Scale Social Contact Networks","authors":"M. Shahzamal, R. Jurdak, R. Arablouei, Minkyoung Kim, Kanchana Thilakarathna, B. Mans","doi":"10.1145/3055601.3055604","DOIUrl":"https://doi.org/10.1145/3055601.3055604","url":null,"abstract":"Social sensing has received growing interest in a broad range of applications from business to health care. The potential benefits of modeling infectious disease spread through geo-tagged social sensing data has recently been demonstrated, yet it has not considered contagion events that can occur even when co-located individuals are no longer in physical contact, such as for capturing the dynamics of airborne diseases. In this study, we exploit the location updates made by 0.6 million users of the Momo social networking application to characterize airborne disease dynamics. Airborne diseases can transmit through infectious particles exhaled by the infected individuals. We introduce the concept of same-place different-time (SPDT) transmission to capture the persistent effect of airborne particles in their likelihood to spread a disease. Because the survival duration of these infectious particles is dependent on environmental conditions, we investigate through large-scale simulations the effects of three parameters on SPDT-based disease diffusion: the air exchange rate in the proximity of infected individuals, the infectivity decay rates of pathogen particles, and the infection probability of inhaled particles. Our results confirm a complex interplay between the underlying contact network dynamics and these parameters, and highlight the predictive potential of social sensing for epidemic outbreaks.","PeriodicalId":360957,"journal":{"name":"Proceedings of the 2nd International Workshop on Social Sensing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116875697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
Correlated Friends' Impacts in Social-crowdsensing 社交群体感知中相关朋友的影响
Proceedings of the 2nd International Workshop on Social Sensing Pub Date : 2017-04-18 DOI: 10.1145/3055601.3055605
Wei Chang, Wei-Shih Yang, Jie Wu
{"title":"Correlated Friends' Impacts in Social-crowdsensing","authors":"Wei Chang, Wei-Shih Yang, Jie Wu","doi":"10.1145/3055601.3055605","DOIUrl":"https://doi.org/10.1145/3055601.3055605","url":null,"abstract":"Social sensing is a typical application of the crowdsourcing system. With the consideration of system timeliness, flexibility, and stability, it could not be more natural to build a self-organized, distributed, and cross-platform crowdsourcing system. Social-crowdsensing (SC) is the first attempt. In SC, a huge sensing task is gradually partitioned into smaller pieces, and the pieces are propagated to potential workers via stochastic social contacts. During these contacts, allocating the workload is a critical problem, which affects the work's completion time and system resource utilization. By analyzing real data, we notice that the times of social contact occurrences are partially correlated. Whether it is necessary to purposely incorporate workers' correlation into the decision-making phase of workload allocation becomes an open question. In this paper, we systematically study the impacts of users' correlated behaviors.","PeriodicalId":360957,"journal":{"name":"Proceedings of the 2nd International Workshop on Social Sensing","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122872804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Localize Online Social Network User via Social Sensing 通过社交感知定位在线社交网络用户
Proceedings of the 2nd International Workshop on Social Sensing Pub Date : 2017-04-18 DOI: 10.1145/3055601.3055619
Zidong Yang, Shibo He, Jiming Chen, Youxian Sun
{"title":"Localize Online Social Network User via Social Sensing","authors":"Zidong Yang, Shibo He, Jiming Chen, Youxian Sun","doi":"10.1145/3055601.3055619","DOIUrl":"https://doi.org/10.1145/3055601.3055619","url":null,"abstract":"Dynamically localizing users in online social networks is challenging because people seldom post location-related microblogs due to privacy concern. To increase inference accuracy, a promising approach is to leverage microblogs from friends. However, it is difficult because microblogs from friends may not be synchronized or informative. To tackle these challenges, we propose a system consisting two steps. Firstly, \"co-location\" friends are detected and used to infer the statistical locations of users. Secondly, users' dynamic locations are determined by considering both statistical locations and POI(point of interest) names in microblogs. Experiments based on real world dataset demonstrates that our approach outperforms previous studies.","PeriodicalId":360957,"journal":{"name":"Proceedings of the 2nd International Workshop on Social Sensing","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125176974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Crowdsourcing Social Media for Military Operations 军事行动的众包社交媒体
Proceedings of the 2nd International Workshop on Social Sensing Pub Date : 2017-04-18 DOI: 10.1145/3055601.3055606
H. Roy, S. Kase, Elizabeth K. Bowman
{"title":"Crowdsourcing Social Media for Military Operations","authors":"H. Roy, S. Kase, Elizabeth K. Bowman","doi":"10.1145/3055601.3055606","DOIUrl":"https://doi.org/10.1145/3055601.3055606","url":null,"abstract":"In this paper, we consider the demographics associated with social media users as a basis for determining how to interact with a population group to inform military operations such as humanitarian aid and disaster relief (HADR). With social media use increasing across most societal groups, information can be shared in a more representative manner than a decade ago. Also, crowdsourcing activities can be more productive and useful as the percentage of citizens using this technology increases. We discuss a recent experiment using the Amazon Mechanical Turk platform to investigate social bias factors associated with information transmission. 759 participants shared their social media usage characteristics as a feature of that study, and we explore those data in this paper to consider social media uses for HADR scenarios. We provide demographic characteristics for ten major social media platforms and discuss how tailored crowdsourcing would benefit decision making in traumatic and confusing conditions.","PeriodicalId":360957,"journal":{"name":"Proceedings of the 2nd International Workshop on Social Sensing","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122085943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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