Workshop on Location-based Social Networks最新文献_第4页

Sensing urban mobility with taxi flow 利用出租车流量感知城市交通

Workshop on Location-based Social Networks Pub Date : 2011-11-01 DOI: 10.1145/2063212.2063215

Marco Veloso, S. Phithakkitnukoon, C. Bento

引用次数: 47

Storing routes in socio-spatial networks and supporting social-based route recommendation 在社会空间网络中存储路线并支持基于社会的路线推荐

Workshop on Location-based Social Networks Pub Date : 2011-11-01 DOI: 10.1145/2063212.2063219

Y. Doytsher, Ben Galon, Y. Kanza

{"title":"Storing routes in socio-spatial networks and supporting social-based route recommendation","authors":"Y. Doytsher, Ben Galon, Y. Kanza","doi":"10.1145/2063212.2063219","DOIUrl":"https://doi.org/10.1145/2063212.2063219","url":null,"abstract":"Cellular phones and GPS-based navigation systems allow recording the location history of users, to find places the users frequently visit and routes along which the users frequently travel. This provides associations between users and geographic entities. Considering these associations as edges that connect users of a social network to geographical entities on a spatial network yields an integrated socio-spatial network. Queries over a socio-spatial network glean information on users, in correspondence with their location history, and retrieve geographical entities in association with the users who frequently visit these entities.\u0000 In this paper we present a graph model for socio-spatial networks that store information on frequently traveled routes. We present a query language that consists of graph traversal operations, aiming at facilitating the formulation of queries, and we show how queries over the network can be evaluated efficiently. We also show how social-based route recommendation can be implemented using our query language. We describe an implementation of the suggested model over a graph-based database system and provide an experimental evaluation, to illustrate the effectiveness of our model.","PeriodicalId":107369,"journal":{"name":"Workshop on Location-based Social Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130073605","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: 42

Extracting urban patterns from location-based social networks 从基于位置的社交网络中提取城市模式

Workshop on Location-based Social Networks Pub Date : 2011-11-01 DOI: 10.1145/2063212.2063226

Laura Ferrari, A. Rosi, M. Mamei, F. Zambonelli

引用次数: 164

User association analysis of locales on location based social networks 基于位置的社交网络中地点的用户关联分析

Workshop on Location-based Social Networks Pub Date : 2011-11-01 DOI: 10.1145/2063212.2063214

J. Ying, Wang-Chien Lee, Mao Ye, Ching-Yu Chen, V. Tseng

引用次数: 17

A location predictor based on dependencies between multiple lifelog data 基于多个生命日志数据之间的依赖关系的位置预测器

Workshop on Location-based Social Networks Pub Date : 2010-11-02 DOI: 10.1145/1867699.1867702

Masaaki Nishino, Yukihiro Nakamura, T. Yagi, S. Muto, Masanobu Abe

引用次数: 12

Spatio-temporal proximity and social distance: a confirmation framework for social reporting 时空接近与社会距离:社会报告的确认框架

Workshop on Location-based Social Networks Pub Date : 2010-11-02 DOI: 10.1145/1867699.1867711

C. Schlieder, O. Yanenko

{"title":"Spatio-temporal proximity and social distance: a confirmation framework for social reporting","authors":"C. Schlieder, O. Yanenko","doi":"10.1145/1867699.1867711","DOIUrl":"https://doi.org/10.1145/1867699.1867711","url":null,"abstract":"Social reporting is based on the idea that the members of a location-based social network observe real-world events and publish reports about their observations. Application scenarios include crisis management, bird watching or even some sorts of mobile games. A major issue in social reporting is the quality of the reports. We propose an approach to the quality problem that is based on the reciprocal confirmation of reports by other reports. This contrasts with approaches that require users to verify reports, that is, to explicitly evaluate their veridicality. We propose to use spatio-termporal proximity as a first criterion for confirmation and social distance as a second one. By combining these two measures we construct a graph containing the reports as nodes connected by confirmation edges that can adopt positive as well as negative values. This graph builds the basis for the computation of confirmation values for individual reports by different aggregation measures. By applying our approach to two use cases, we show the importance of a weighted combination, since the meaningfulness of the constituent measures varies between different contexts.","PeriodicalId":107369,"journal":{"name":"Workshop on Location-based Social Networks","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130333043","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: 22

DC2S: a dynamic car sharing system DC2S:动态汽车共享系统

Workshop on Location-based Social Networks Pub Date : 2010-11-02 DOI: 10.1145/1867699.1867710

Jianhua Shao, C. Greenhalgh

引用次数: 10

Towards location-based social networking services 走向基于位置的社交网络服务

Workshop on Location-based Social Networks Pub Date : 2010-11-02 DOI: 10.1145/1867699.1867706

Chi-Yin Chow, Jie Bao, M. Mokbel

{"title":"Towards location-based social networking services","authors":"Chi-Yin Chow, Jie Bao, M. Mokbel","doi":"10.1145/1867699.1867706","DOIUrl":"https://doi.org/10.1145/1867699.1867706","url":null,"abstract":"Social networking applications have become very important web services that provide Internet-based platforms for their users to interact with their friends. With the advances in the location-aware hardware and software technologies, location-based social networking applications have been proposed to provide services for their users, taking into account both the spatial and social aspects. Unfortunately, none of existing location-based social networking applications is a holistic system nor equips database management systems to support scalable location-based social networking services. In this paper, we present GeoSocialDB; a holistic system providing three location-based social networking services, namely, location-based news feed, location-based news ranking, and location-based recommendation. In GeoSocialDB, we aim to implement these services as query operators inside a database engine to optimize the query processing performance. Within the GeoSocialDB framework, we discuss research challenges and directions towards the realization of scalable and practical query processing for location-based social networking services. In general, we discuss the challenges in designing location- and/or rank-aware query operators, materializing query answers, supporting continuous query processing, and providing privacy-aware query processing for our three location-based social networking services.","PeriodicalId":107369,"journal":{"name":"Workshop on Location-based Social Networks","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116424624","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: 102

Mining user similarity from semantic trajectories 从语义轨迹挖掘用户相似度

Workshop on Location-based Social Networks Pub Date : 2010-11-02 DOI: 10.1145/1867699.1867703

J. Ying, E. H. Lu, Wang-Chien Lee, Tz-Chiao Weng, V. Tseng

引用次数: 220

Measuring geographical regularities of crowd behaviors for Twitter-based geo-social event detection 基于twitter的地理社交事件检测中人群行为的地理规律度量

Workshop on Location-based Social Networks Pub Date : 2010-11-02 DOI: 10.1145/1867699.1867701

Ryong Lee, K. Sumiya

引用次数: 329