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- research-articleNovember 2014
Learning a Linear Influence Model from Transient Opinion Dynamics
CIKM '14: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge ManagementPages 401–410https://doi.org/10.1145/2661829.2662064Many social networks are characterized by actors (nodes) holding quantitative opinions about movies, songs, sports, people, colleges, politicians, and so on. These opinions are influenced by network neighbors. Many models have been proposed for such ...
- research-articleAugust 2012
Towards social user profiling: unified and discriminative influence model for inferring home locations
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningPages 1023–1031https://doi.org/10.1145/2339530.2339692Users' locations are important to many applications such as targeted advertisement and news recommendation. In this paper, we focus on the problem of profiling users' home locations in the context of social network (Twitter). The problem is nontrivial, ...
- research-articleNovember 2010
Modelling and analyzing multimodal dyadic interactions using social networks
ICMI-MLMI '10: International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal InteractionArticle No.: 52, Pages 1–8https://doi.org/10.1145/1891903.1891967Social network analysis became a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore the characteristics of a social network extracted from multimodal dyadic ...
- research-articleJune 2010
Network on chip design and optimization using specialized influence models
DAC '10: Proceedings of the 47th Design Automation ConferencePages 625–626https://doi.org/10.1145/1837274.1837431In this study, we propose the use of specialized influence models to capture the dynamic behavior of a Network-on-Chip (NoC). Our goal is to construct a versatile modeling framework that will help in the development and analysis of distributed and ...
- posterOctober 2009
On modeling product advertisement in social networks
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 37, Issue 2Pages 55–56https://doi.org/10.1145/1639562.1639583Advertising via social networks is receiving more attention these days. Given a fixed investment (e.g., free samples), a company needs to find out the final probability that users will purchase the product. In this paper we characterize and model ...
- research-articleApril 2008
Discovering geographical-specific interests from web click data
LOCWEB '08: Proceedings of the first international workshop on Location and the webPages 41–48https://doi.org/10.1145/1367798.1367805As the Internet continues to play an important role in many business applications, it becomes vital to increase the competitive edge by offering geographically tailored contents that reflect the common interests of the geographical region of the web ...
- ArticleNovember 2006
A 'need to know' system for group classification
ICMI '06: Proceedings of the 8th international conference on Multimodal interfacesPages 155–161https://doi.org/10.1145/1180995.1181030This paper outlines the design of a distributed sensor classification system with abnormality detection intended for groups of people who are participating in coordinated activities. The system comprises an implementation of a distributed Dynamic ...
- ArticleOctober 2004
GroupMedia: distributed multi-modal interfaces
ICMI '04: Proceedings of the 6th international conference on Multimodal interfacesPages 309–316https://doi.org/10.1145/1027933.1027983In this paper, we describe the GroupMedia system, which uses wireless wearable computers to measure audio features, head-movement, and galvanic skin response (GSR) for dyads and groups of interacting people. These group sensor measurements are then used ...