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Asymptotic properties of distributed social sampling algorithm
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作者 Qian LIU Xingkang HE Haitao FANG 《中国科学:信息科学(英文版)》 SCIE EI CSCD 2020年第1期148-162,共15页
Social sampling is a novel randomized message passing protocol inspired by social communication for opinion formation in social networks.In a typical social sampling algorithm,each agent holds a sample from the empiri... Social sampling is a novel randomized message passing protocol inspired by social communication for opinion formation in social networks.In a typical social sampling algorithm,each agent holds a sample from the empirical distribution of social opinions at initial time,and it collaborates with other agents in a distributed manner to estimate the initial empirical distribution by randomly sampling a message from current distribution estimate.In this paper,we focus on analyzing the theoretical properties of the distributed social sampling algorithm over random networks.First,we provide a framework based on stochastic approximation to study the asymptotic properties of the algorithm.Then,under mild conditions,we prove that the estimates of all agents converge to a common random distribution,which is composed of the initial empirical distribution and the accumulation of quantized error.Besides,by tuning algorithm parameters,we prove the strong consistency,namely,the distribution estimates of agents almost surely converge to the initial empirical distribution.Furthermore,the asymptotic normality of estimation error generated by distributed social sample algorithm is addressed.Finally,we provide a numerical simulation to validate the theoretical results of this paper. 展开更多
关键词 social networks opinion formation social sampling stochastic approximation random networks asymptotic normality
Social Accounting at Work: An Analysis of Social Impact Measurement Models 预览
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作者 Ulpiana Kocollari Ennio Lugli 《现代会计与审计:英文版》 2020年第1期31-43,共13页
The development of the field of social entrepreneurship has drawn attention to the need for additional work on identifying and measuring the value created through the solution of social problems by means of businesses... The development of the field of social entrepreneurship has drawn attention to the need for additional work on identifying and measuring the value created through the solution of social problems by means of businesses with social impact.There has been a multiplication of the measurement models for satisfying the most widely varying demands for information about the Social Impact(SI)generated by social enterprises,although so far the results cannot be considered exhaustive.In this context,the present study attempts to contribute to the debate by investigating the effectiveness of SI measurement models in accounting and communicating SI creation,in relation to the main stakeholders’needs for information.As a result,a framework for analysing and classifying the main social accountability models is provided.The analysis shows that the measurement models considered are not always able to provide useful information for the assessment of the social activities carried out and the extent to which social oriented organizations fulfil their social goals as stated in their missions and their contribution to the promotion of wider and institutional social change. 展开更多
关键词 social enterprise social impact measurement models
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从对地观测到对人观测——浅析社会地理计算
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作者 李德仁 呙维 +1 位作者 常晓猛 李熙 《地理学报:英文版》 SCIE CSCD 2020年第2期233-250,共18页
It is possible to obtain vast amounts of spatiotemporal data related to human activities to support the study of human behavior and social evolution.In this context,geography,with the human-nature relationship as its ... It is possible to obtain vast amounts of spatiotemporal data related to human activities to support the study of human behavior and social evolution.In this context,geography,with the human-nature relationship as its core,is undergoing a transition from strictly earth observations to the observation of human activities.Geocomputation for social science is one manifestation thereof.Geocomputation for social science is an interdisciplinary approach combining remote sensing techniques,social science,and big data computation.Driven by the availability of spatially and temporally expansive big data,geocomputation for social science uses spatiotemporal statistical analyses to detect and analyze the interactions between human behavior,the natural environment,and social activities;Remote sensing(RS)observations are used as primary data.Geocomputation for social science can be used to investigate major social issues and to assess the impact of major natural and societal events,and will surely be an area of focused development in geography in the near future.We briefly review the background of geocomputation in the social sciences,discuss its definition and disciplinary characteristics,and highlight the main research foci.Several key technologies and applications are also illustrated with relevant case studies of the Syrian Civil War,typhoon transits,and traffic patterns. 展开更多
关键词 GEOCOMPUTATION for SOCIAL science NIGHTTIME light remote sensing SOCIAL network TRAFFIC patterns
Multiple mediation effects of health locusof control and hope on the relationshipbetween stroke patients’ social supportand self-management 预览
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作者 Ting-Ting Lei Hong-Mei Han Xiao-Jing Liu 《护理前沿(英文)》 CAS 2020年第1期49-57,共9页
Objective:This study aimed to identify the mediation effects of health locus of control(HLC)and hope between stroke patients’social support and self-management.Methods:A cross-sectional study was conducted.A total of... Objective:This study aimed to identify the mediation effects of health locus of control(HLC)and hope between stroke patients’social support and self-management.Methods:A cross-sectional study was conducted.A total of 300 Chinese stroke patients were recruited by convenient sampling from the acupuncture department of two Chinese Traditional Medical Hospitals in Tianjin Province from June to September 2018.The self-report questionnaires include Social Support Assessment Scale,Herth Hope Index,Mental Health Locus of Control Scale,Stroke Self-management Behavior Scale,and personal information questionnaires.All the survey data were entered in Excel and analyzed using the SPSS 24.0 program.Mediation was tested with Bootstrapping in AMOS 23.0 program.Results:The result showed that internal health locus of control(IHLC),chance health locus of control(CHLC)and hope were the mediators between social support and self-management.The direct,indirect,and total effects of social support on self-management behavior were 0.306 P<0.01),0.109(P<0.01),and 0.415(P<0.01),respectively.Conclusions:Social support can directly influence self-management,and it can also indirectly influence self-management through IHLC,CHLC,and hope. 展开更多
关键词 social support health locus of control HOPE SELF-MANAGEMENT multiple mediation effects
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Analysis of the Changes in Rural Chinese Family Structure since Reform and Opening Up 预览
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作者 Wang Yuesheng 《当代社会科学(英文)》 2020年第1期102-124,共23页
This article uses data from censuses since 1982 to reveal changes in the family structure of rural China since the launch of reform and opening up and against the backdrop of institutional relocation,social transforma... This article uses data from censuses since 1982 to reveal changes in the family structure of rural China since the launch of reform and opening up and against the backdrop of institutional relocation,social transformation and an aging population.Since the advent of reform and opening up,rural family structure and its changes can be divided into two phases.Before the 1990 s,the household contract responsibility system was implemented,labor in rural villages was still mainly engaged in farming,and the number of nuclear families remained stable with a steady rise.After the 1990 s,as reform progress deepened,substantial numbers of young and middle-aged laborers in rural villages began to relocate into non-farming sectors and aging in rural villages rose.As those born in the early days of the family planning policy gradually matured,family structure was directly affected and changed in new ways and forms not seen before.Vocational divisions of labor among the parents of young families and married offspring emerged and the significance of cooperation for family economy and daily life between parents and offspring rose in importance.Also,the prevalence of immediate families with three generations climbed while the standard nuclear families declined,the ratio of middle-aged couples with young children that worked outside the home increased,the function of middle-aged and senior parents in the upbringing of infants and children enhanced,and the commonness of incomplete family types such as only grandparents with grandchildren increased.During this phase,the number of seniors living alone surged to the point of becoming a matter worthy of attention. 展开更多
关键词 reform and opening up social transformation family structure rural village
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Probe into the“Mania for School District Houses”--Research into the Motivations for Purchasing School District Houses from the Perspective of Cultural Capital 预览
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作者 Nie Chen 《当代社会科学(英文)》 2020年第1期125-139,共15页
In recent years,the"mania for school district houses"has disrupted the housing market and undermined education equity and class mobility,thus becoming a common concern.Most existing research focus on market ... In recent years,the"mania for school district houses"has disrupted the housing market and undermined education equity and class mobility,thus becoming a common concern.Most existing research focus on market motivations for purchasing school district houses while neglecting the connections between school district houses and cultural and social elements in the process of class reproduction.To make up for this deficiency this article introduces the neighborhood-based cultural capital theory to explore the diversified motivations,the processes of motivation formation,and the determining factors in purchasing school district houses.Reviews and analysis of interview materials revealed that while theories based on western experience can explain the basic purchasing motivations and their formation processes,there are distinct and varied purchasing motivations in China,more comprehensive and complex forms of capital exchange,and more dynamic factors that impact purchases of school district houses.Suggestions on solving the"mania for school district houses"are also presented. 展开更多
关键词 school district houses institutionalized cultural capital objective cultural capital social capital economic capital
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动物疾病谱系与社会人类学(1870-2000) 预览
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作者 弗雷德里克·凯克 张雨男 张盈(译) 《原生态民族文化学刊》 CSSCI 2020年第1期49-60,共12页
捕杀、疫苗接种与疫情监测是现代公共卫生用于管理可能传染给人类的动物疾病的3种主要技术手段。在微生物如何在人类与动物之间建立关系的问题上,这3种技术有着各自不同的本体论理解。因此,动物疾病不仅是一个应用人类学问题,还涉及学... 捕杀、疫苗接种与疫情监测是现代公共卫生用于管理可能传染给人类的动物疾病的3种主要技术手段。在微生物如何在人类与动物之间建立关系的问题上,这3种技术有着各自不同的本体论理解。因此,动物疾病不仅是一个应用人类学问题,还涉及学科的理论核心,即理解社会因果关系是如何从物理因果关系中产生的。为了澄清这一观点,通过考察赫伯特·斯宾塞对口蹄疫的研究;威廉·罗伯逊·史密斯结合牛结核病所思考的献祭概念;埃米尔·涂尔干是如何将接种天花疫苗作为社会病态的隐喻;以及克洛德·列维-斯特劳斯对疯牛病的研究。通过他们对动物疾病传播给人类风险的不同理解,即从预防到防治,再到防范,来分析4位学者对社会这一概念的理解。 展开更多
关键词 哨兵 献祭 生物安全 社会 人畜共患病
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The Research of Motivations for Participating in Social Media 预览
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作者 沈琦玮 《校园英语》 2020年第4期254-255,共2页
Purpose-To build customer loyalty,web-based company ought to keep the Maslow’s hierarchy of needs theory in mind when designing their online products.This paper aims to investigate client motivations for participatin... Purpose-To build customer loyalty,web-based company ought to keep the Maslow’s hierarchy of needs theory in mind when designing their online products.This paper aims to investigate client motivations for participating in social media and what needs do those platforms they providing satisfy.Design/methodology/approach-In-depth interviews with 5 persons were conducted to collect their rankings of social media sites and the reasons for visiting each of the sites. 展开更多
关键词 Maslow’s hierarchy of needs social network
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The Social Network Analysis of Techno-Economic Systems:Comparing Results Based on Binary and Weighted Networks
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作者 Abdol S.Soofi Mansoureh Abdi 《系统科学与系统工程学报:英文版》 SCIE EI CSCD 2020年第1期68-84,共17页
.The network analysis of a technological system combines the interindustry transactions with a matrix of sectoral innovative efforts as measured by R&D investment intensity.The matrixes of interindustry transactio... .The network analysis of a technological system combines the interindustry transactions with a matrix of sectoral innovative efforts as measured by R&D investment intensity.The matrixes of interindustry transactions of R&D-embodied products(innovations)are weighted matrixes where the interindustry flows measure the intensity of the innovation diffusion.In the past,studies using this approach in innovation studies have transformed weighted matrixes into binary matrixes of zero and one element where the flows less than a selected threshold value were considered to be zero and the flows greater than the threshold value were counted as one.Such matrix transformation leads to the loss of a great deal of information.In the present study,using degree and clustering coefficients for both binary direct as well as weighted direct techno-economic networks of the manufacturing sector of the German economy,we show that the binary directed network analysis is incapable of refined ranking of interindustry innovation transactions.The total degree index based on the weighted network of the German techno-economic system assigns a unique ranking to each sector,and clustering coefficients show that at least 75%of sectors in the network of Germany have two links with the other industries.However,the same indices based on the binary network are incapable of such refined ranking. 展开更多
关键词 Innovation network complex systems social network analysis innovation management R&D intensity
An Empirical Study of Urban Spatial Structure Based on Social Network Analys is: A Case Study of Urban Update Unit in Shenzhen as an Example 预览
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作者 LIN Yuxuan SI Nan 《景观研究:英文版》 2020年第2期32-36,共5页
Through sorting out the data of urban renewal units in Shenzhen from 2010 to 2016, this paper quantitatively analyzed the spatial characteristics of urban update from two dimensions of location conditions and function... Through sorting out the data of urban renewal units in Shenzhen from 2010 to 2016, this paper quantitatively analyzed the spatial characteristics of urban update from two dimensions of location conditions and functional attributes, using social network analysis, community discovery and other methods.The research found that:(1) the urban functional network formed based on the update unit had obvious spatial agglomeration and hierarchical characteristics, forming the central-peripheral structure of "two mains and five sections", covering basically all the developed areas of Shenzhen city, and presenting the overall spatial structure of "dense west and sparse east";(2) based on the functional space of urban update unit, five relatively closely connected community groups were formed, whose characteristics mainly included:spatial integration, spatial coupling and spatial spillover effect;(3) the spatial structure formed by urban updates basically conformed to the spatial structure defined in the plan of "the 10 master plan". 展开更多
关键词 Urban spatial structure Social network analysis SHENZHEN Urban update
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Extended Thinking on reform of quantum Society of China 预览
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作者 刘本玲 《校园英语》 2020年第1期252-253,共2页
The quantum characters of particles also apply to the human society in 21st century.Many countries including China have gradually entered into the club of quantum society,it means the policies on education,economy,cul... The quantum characters of particles also apply to the human society in 21st century.Many countries including China have gradually entered into the club of quantum society,it means the policies on education,economy,culture and politics should be adjus ted accordingly.This article a ttempts to explore some practical thoughts on those critical issues. 展开更多
关键词 QUANTUM SOCIETY QUANTUM age SOCIAL REFORM
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Distributed consensus-based algorithm for social welfare in smart grid with transmission losses
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作者 XU Qian DAI PengCheng +3 位作者 WANG Lei CHEN DuXin WANG Kun YU WenWu 《中国科学:技术科学英文版》 SCIE EI CAS CSCD 2020年第1期44-54,共11页
In this paper, we present a distributed consensus-based algorithm to solve the social welfare maximization problem. This is one of typical problems of distributed energy management in smart grid. In this problem, we c... In this paper, we present a distributed consensus-based algorithm to solve the social welfare maximization problem. This is one of typical problems of distributed energy management in smart grid. In this problem, we consider not only the generator and demand, but also the transmission losses which make the feasibility set of the formulated problem a non-convex set. In solving this issue, we find a noticeable result that the primal problem has the same solution with a new convex optimization problem by getting the utmost out of the implied term in practice. Considering the general communication topology among generators and demands, we first design a finite step algorithm to make each generator and demand know the information of parameters of others.Then, we design a distributed algorithm and also prove the optimality and convergence of the proposed algorithm. Finally, the convergence and optimality are examined through extensive simulations. 展开更多
关键词 distributed consensus-based algorithm social welfare maximization transmission losses smart grid
PPLS: a privacy-preserving location-sharing scheme in mobile online social networks
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作者 Chang XU Xuan XIE +4 位作者 Liehuang ZHU Kashif SHARIF Chuan ZHANG Xiaojiang DU Mohsen GUIZANI 《中国科学:信息科学(英文版)》 SCIE EI CSCD 2020年第3期163-173,共11页
The recent proliferation of mobile devices has given rise to mobile online social networks(m OSNs), an emerging network paradigm that uses social networks as its main design element. As one of the most critical compon... The recent proliferation of mobile devices has given rise to mobile online social networks(m OSNs), an emerging network paradigm that uses social networks as its main design element. As one of the most critical components in m OSNs, location sharing plays an important role in helping users share information and strengthen their social bonds, which however may compromise users’ privacy, including location information and social relationship details. To address these challenges, some solutions have been proposed. However, none of them considers the privacy of inter-user threshold distance, which effectively can be used to identify users, their friends, and location information, by malicious or undesired elements of the system. To overcome this limitation, we propose a secure distance comparison protocol. Furthermore,we present a privacy-preserving location-sharing scheme(PPLS), which allows users to build more complex access control policies. The safety of our scheme is validated by the security analysis and the experimental results demonstrate the efficiency of PPLS scheme. 展开更多
关键词 privacy-preservation location-sharing mobile online social networks
新冠肺炎流行期社会心理响应建议 预览
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作者 唐登华 《中国心理卫生杂志》 CSSCI CSCD 北大核心 2020年第3期238-239,共2页
新型冠状病毒疫情危及的不仅仅是感染者的身体,也危及到感染者及相关人员的心理行为,同样还会危及到家庭、社会团体、机关企业、媒体、政府等。疫情带来的紊乱不仅是涉及个体的呼吸系统、免疫系统等生物系统,也会涉及个体的心理行为系统... 新型冠状病毒疫情危及的不仅仅是感染者的身体,也危及到感染者及相关人员的心理行为,同样还会危及到家庭、社会团体、机关企业、媒体、政府等。疫情带来的紊乱不仅是涉及个体的呼吸系统、免疫系统等生物系统,也会涉及个体的心理行为系统,更会带来社会人际关系、大众日常生活、经济、文化、管理等功能的紊乱,并且各个系统之间会相互影响。如一个过度恐慌的疑是感染者的外逃会导致疫情扩散和大众的恐慌与歧视、一个没有经验而又恐慌的管理者也很难组织有效的防控。 展开更多
关键词 新型冠状病毒 疫情爆发 社会 心理
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Detecting Fake News Over Online Social Media via Domain Reputations and Content Understanding
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作者 Kuai Xu Feng Wang +1 位作者 Haiyan Wang Bo Yang 《清华大学学报自然科学版(英文版)》 EI CAS CSCD 2020年第1期20-27,共8页
Fake news has recently leveraged the power and scale of online social media to effectively spread misinformation which not only erodes the trust of people on traditional presses and journalisms, but also manipulates t... Fake news has recently leveraged the power and scale of online social media to effectively spread misinformation which not only erodes the trust of people on traditional presses and journalisms, but also manipulates the opinions and sentiments of the public. Detecting fake news is a daunting challenge due to subtle difference between real and fake news. As a first step of fighting with fake news, this paper characterizes hundreds of popular fake and real news measured by shares, reactions, and comments on Facebook from two perspectives:domain reputations and content understanding. Our domain reputation analysis reveals that the Web sites of the fake and real news publishers exhibit diverse registration behaviors, registration timing, domain rankings, and domain popularity. In addition, fake news tends to disappear from the Web after a certain amount of time. The content characterizations on the fake and real news corpus suggest that simply applying term frequency-inverse document frequency(tf-idf) and Latent Dirichlet Allocation(LDA) topic modeling is inefficient in detecting fake news,while exploring document similarity with the term and word vectors is a very promising direction for predicting fake and real news. To the best of our knowledge, this is the first effort to systematically study domain reputations and content characteristics of fake and real news, which will provide key insights for effectively detecting fake news on social media. 展开更多
关键词 SOCIAL media FAKE NEWS detection CONTENT modeling DOMAIN reputations
China:Political, Social, and Economic Reforms from 1700s to the Present 预览
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作者 Connie Shum Christine E.Fogliasso Gladie Lui 《现代会计与审计:英文版》 2020年第1期19-30,共12页
Chinese social and economic history is both influenced by and,to a certain extent,married with Chinese political regimes.Various political dynasties from the past have each exercised significant control of Chinese soc... Chinese social and economic history is both influenced by and,to a certain extent,married with Chinese political regimes.Various political dynasties from the past have each exercised significant control of Chinese social and economic environments,and continue to exert influence even to the present day.Three of these influential periods include the Kang Qian Flourishing Age(1723-1796),the Qing Dynasty Decline(1800s-1912),and the People’s Republic of China Communist Control(1949-present).A review and in-depth examination of each regime helps to both understand where China is today and also how it is likely to evolve in the future. 展开更多
关键词 China reforms POLITICAL SOCIAL and economic reforms in China China from 1700s to the present
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Sentiment analysis using deep learning approaches:an overview
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作者 Olivier HABIMANA Yuhua LI +2 位作者 Ruixuan LI Xiwu GU Ge YU 《中国科学:信息科学(英文版)》 SCIE EI CSCD 2020年第1期17-52,共36页
Nowadays,with the increasing number of Web 2.0 tools,users generate huge amounts of data in an enormous and dynamic way.In this regard,the sentiment analysis appeared to be an important tool that allows the automation... Nowadays,with the increasing number of Web 2.0 tools,users generate huge amounts of data in an enormous and dynamic way.In this regard,the sentiment analysis appeared to be an important tool that allows the automation of getting insight from the user-generated data.Recently,deep learning approaches have been proposed for different sentiment analysis tasks and have achieved state-of-the-art results.Therefore,in order to help researchers to depict quickly the current progress as well as current issues to be addressed,in this paper,we review deep learning approaches that have been applied to various sentiment analysis tasks and their trends of development.This study also provides the performance analysis of different deep learning models on a particular dataset at the end of each sentiment analysis task.Toward the end,the review highlights current issues and hypothesized solutions to be taken into account in future work.Moreover,based on knowledge learned from previous studies,the future work subsection shows the suggestions that can be incorporated into new deep learning models to yield better performance.Suggestions include the use of bidirectional encoder representations from transformers(BERT),sentiment-specific word embedding models,cognition-based attention models,common sense knowledge,reinforcement learning,and generative adversarial networks. 展开更多
关键词 sentiment analysis opinion mining deep learning neural network natural language processing(NLP) social network
Insights from the study of complex systems for the ecology and evolution of animal populations
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作者 David N.FISHER Jonathan N.PRUITT 《动物学报:英文版》 SCIE CAS CSCD 2020年第1期1-14,共14页
Populations of animals comprise many individuals,interacting in multiple contexts,and displaying heterogeneous behaviors.The interactions among individuals can often create population dynamics that are fundamentally d... Populations of animals comprise many individuals,interacting in multiple contexts,and displaying heterogeneous behaviors.The interactions among individuals can often create population dynamics that are fundamentally deterministic yet display unpredictable dynamics.Animal populations can,therefore,be thought of as complex systems.Complex systems display properties such as nonlinearity and uncertainty and show emergent properties that cannot be explained by a simple sum of the interacting components.Any system where entities compete,cooperate,or interfere with one another may possess such qualities,making animal populations similar on many levels to complex systems.Some fields are already embracing elements of complexity to help understand the dynamics of animal populations,but a wider application of complexity science in ecology and evolution has not occurred.We review here how approaches from complexity science could be applied to the study of the interactions and behavior of individuals within animal populations and highlight how this way of thinking can enhance our understanding of population dynamics in animals.We focus on 8 key characteristics of complex systems:hierarchy,heterogeneity,selforganization,openness,adaptation,memory,nonlinearity,and uncertainty.For each topic we discuss how concepts from complexity theory are applicable in animal populations and emphasize the unique insights they provide.We finish by outlining outstanding questions or predictions to be evaluated using behavioral and ecological data.Our goal throughout this article is to familiarize animal ecologists with the basics of each of these concepts and highlight the new perspectives that they could bring to variety of subfields. 展开更多
关键词 CHAOS complex system COMPLEXITY population dynamics social network STOCHASTICITY
An Attention-Based Neural Framework for Uncertainty Identification on Social Media Texts
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作者 Xu Han Binyang Li Zhuoran Wang 《清华大学学报自然科学版(英文版)》 EI CAS CSCD 2020年第1期117-126,共10页
Uncertainty identification is an important semantic processing task. It is crucial to the quality of information in terms of factuality in many applications, such as topic detection and question answering. Factuality ... Uncertainty identification is an important semantic processing task. It is crucial to the quality of information in terms of factuality in many applications, such as topic detection and question answering. Factuality has become a premier concern especially in social media, in which texts are written informally. However, existing approaches that rely on lexical cues suffer greatly from the casual or word-of-mouth peculiarity of social media, in which the cue phrases are often expressed in substandard form or even omitted from sentences. To tackle these problems, this paper proposes an Attention-based Neural Framework for Uncertainty identification on social media texts, named ANFU. ANFU incorporates attention-based Long Short-Term Memory(LSTM) networks to represent the semantics of words and Convolutional Neural Networks(CNNs) to capture the most important semantics. Experiments were conducted on four datasets, including 2 English benchmark datasets used in the CoNLL-2010 task of uncertainty identification and 2 Chinese datasets of Weibo and Chinese news texts. Experimental results showed that our proposed ANFU approach outperformed the-state-of-the-art on all the datasets in terms of F1 measure. More importantly, 41.37% and 13.10% improvements were achieved over the baselines on English and Chinese social media datasets, respectively, showing the particular effectiveness of ANFU on social media texts. 展开更多
关键词 UNCERTAINTY IDENTIFICATION ATTENTION NEURAL networks SOCIAL media
A Personalized Search Model Using Online Social Network Data Based on a Holonic Multiagent System 预览
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作者 Meijia Wang Qingshan Li Yishuai Lin 《中国通信:英文版》 SCIE CSCD 2020年第2期176-205,共30页
Personalized search utilizes user preferences to optimize search results,and most existing studies obtain user preferences by analyzing user behaviors in search engines that provide click-through data.However,the beha... Personalized search utilizes user preferences to optimize search results,and most existing studies obtain user preferences by analyzing user behaviors in search engines that provide click-through data.However,the behavioral data are noisy because users often clicked some irrelevant documents to find their required information,and the new user cold start issue represents a serious problem,greatly reducing the performance of personalized search.This paper attempts to utilize online social network data to obtain user preferences that can be used to personalize search results,mine the knowledge of user interests,user influence and user relationships from online social networks,and use this knowledge to optimize the results returned by search engines.The proposed model is based on a holonic multiagent system that improves the adaptability and scalability of the model.The experimental results show that utilizing online social network data to implement personalized search is feasible and that online social network data are significant for personalized search. 展开更多
关键词 personalized search online social network holonic multiagent system
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