整理了一下WWW2012上有关社会网络的论文，主要是看文章名字和作者挑出来的，还没有细看，可能有一些是无关的，还有一些遗珠，不过足够看上一阵子了。 Actions speak as loud as words: Predicting relationships from social behavior data Sibel Adali, Fred Sisenda and Malik Magdon-Ismail Analyzing Spammers’ Social Networks For Fun and Profit — A Case Study of Cyber Criminal Ecosystem on Twitter Chao Yang, Robert Harkreader, Jialong Zhang, Suengwon Shin and Guofei Gu Bimodal Invitation-Navigation Fair Bets Model for Authority Identification in a Social Network Suratna Budalakoti and Ron Bekkerman Branded with a Scarlet ? C ?: Cheaters in a Gaming Social Network Jeremy Blackburn, Ramanuja Simha, Nicolas Kourtellis, Xiang Zuo, Matei Ripeanu, John Skvoretz and Adriana Iamnitchi Human Wayfinding in Information Networks Robert West and Jure Leskovec Implementing Optimal Outcomes in Social Computing: A Game-Theoretic Approach Arpita Ghosh and Patrick Hummel Information Transfer in Social Media Greg Ver Steeg and Aram Galstyan New Objective Functions for Social Collaborative Filtering Joseph Noel, Scott Sanner, Khoi-Nguyen Tran, Peter Christen, Lexing Xie, Edwin Bonilla and Ehsan Abbasnejad Online Team Formation in Social Networks Aris Anagnostopoulos, Luca Becchetti, Carlos Castillo, Aristides Gionis and Stefano Leonardi Partitioned Multi-Indexing: Algorithms, Analysis, and Applications to Social Search Bahman Bahmani and Ashish Goel Recommendations to Boost Content Spread in Social Networks Sayan Ranu, Vineet Chaoji, Rajeev Rastogi and Rushi Bhatt The Role of Social Networks in Information Diffusion Eytan Bakshy, Itamar Rosenn, Cameron Marlow and Lada Adamic Understanding and Combating Link Farming in the Twitter Social Network Saptarshi Ghosh, Bimal Viswanath, Farshad Kooti, Naveen Kumar Sharma, Korlam Gautam, Fabricio Benevenuto, Niloy Ganguly and Krishna Gummadi Using Content and Interactions for Discovering Communities in Social Networks Mrinmaya Sachan, Danish Contractor, Tanveer Faruquie and L. V. Subramaniam An Exploration of Improving Collaborative Recommender Systems via User-Item Subgroups Bin Xu, Jiajun Bu, Chun Chen and Deng Cai Community Detection in Incomplete Information Networks Wangqun Lin, Xiangnan Kong, Philip Yu, Quanyuan Wu, Yan Jia and Chuan Li Crosslingual Knowledge Linking Across Wiki Knowledge Bases Zhichun Wang, Juanzi Li, Zhigang Wang and Jie Tang Discovering Geographical Topics from Twitter Streams Liangjie Hong, Amr Ahmed, Siva Gurumurthy, Alex Smola and Kostas Tsioutsiouliklis Document Hierarchies from Text and Links Qirong Ho, Jacob Eisenstein and Eric Xing Dynamical Classes of Collective Attention in Twitter Janette Lehmann, Bruno Gon?alves, José Ramasco and Ciro Cattuto Factorizing YAGO: Scalable Machine Learning for Linked Data Maximilian Nickel and Volker Tresp Learning and Predicting Behavioral Dynamics on the Web Kira Radinsky, Krysta Svore, Susan Dumais, Jaime Teevan, Eric Horvitz and Alex Bocharov Vertex Collocation Profiles: Subgraph Counting for Link Analysis and Prediction Ryan N.Lichtenwalter and Nitesh V. Chawla We Know What @You #Tag: Does the Dual Role Affect Hashtag Adoption? Lei Yang, Tao Sun and Qiaozhu Mei
From: http://render-project.eu/diversiweb-2011/ First International Workshop on Knowledge Diversity on the Web Workshop at WWW 2011 , Hyderabad, India March 28 or 29 (TBD) , 2011 Supported by the EU FP7 projects RENDER and Living Knowledge Almost 20 years after its introduction, the Web provides a platform for the publication, use and exchange of information, at planetary scale, on virtually every topic, and representing an amazing diversity of opinions, viewpoints, mindsets and backgrounds. The success of the Web can be attributed to several factors, most notably to its principled scalable design, but also to a number of subsequent ICT developments such as smart user-generated content, mobile devices, and most recently cloud computing. The first two of these have dramatically lowered the last barriers of entry when it comes to producing and consuming information online, leading to an unprecedented growth and mass collaboration. They are responsible for hundreds of millions of users all over the globe creating high-quality encyclopedias, publishing Terabytes of multimedia content, contributing to world-class software, and lively taking part in defining the agenda of many aspects of our society by raising their voices, and publicly expressing and sharing their ideas, viewpoints, and resources. The other side of the coin in this unique success story is, nevertheless, the great challenges associated with managing the sheer amounts of information continuously being published online, whilst allowing for purposeful use, and leveraging the diversity inherently unfolding through global-scale collaboration. In this context, diversity includes different opinions, sentiments, preferences, or worldviews that are reflected in the way information is expressed on the Web. These challenges are still to be solved at many levels, from the infrastructure to store and access the information, through the methods and techniques to make sense out of it, to the paradigms underlying the processes of Web-based information provision and consumption. As an example, when searching for blog posts, state-of-the-art technology – be that popularity-based algorithms, recommendation engines or collaborative filters – tends to return either the most popular posts, or those which correspond with a personal profile and therefore with the known opinions and tastes of the reader. Alternative points of view, and new unexpected content, are not taken into account as they are not highly ranked, and posts expressing different opinions are sometimes even discarded. This behavior has particularly negative consequences when dealing with information that is expected and intended to be subject to diverse opinion – as is the case with news reports, ratings of products or media content, customer reviews, or any other type of subjective assessment. The same negative effects apply in a community-driven environment that is designed for collaboration – the most obvious example here being Wikipedia and the blogosphere. The information diversity exposed in such an environment, impressive both with respect to scale and the richness of opinions and viewpoints expressed, cannot be handled without adequate computer support in an economically feasible manner. In the long run, maintaining the current state-of-affairs will change the ways and the extent to which people are informed (or not) on a particular topic, tremendously influencing how they look into that topic, what they find about it and what they think about it. On top of all this, it is meanwhile acknowledged that the current state of affairs hampers true collaboration. Wikipedia is a tremendous success, but it is also a largely meritocratic system with a decreasing number of active contributors, whereas the blogosphere has to deal with the limited attention of the blog authors. What is needed are novel concepts, methods and tools that allow humans and machines to leverage the huge amounts of information created by a community, based on interaction models that support expressing, communicating and reasoning about divergent models simultaneously. This would not only enhance true collaboration, but would also significantly improve various aspects of the information management life cycle, thus addressing information overload in sectors which rely on opinions-driven information sources and mass participation – news, ratings, reviews, and social and information sharing portals of any kind. Goal of the workshop The overall aim of this workshop is to provide an interdisciplinary forum for researchers and practitioners to present and discuss their ideas related to the challenges posed by diversity on the Web. We aim to address a wide array of interdisciplinary questions, which need to be tackled in order to preserve the fragile balance between a world that is continually converging and growing together, the rich diversity of the global society, and the dangers of fragmentation and splintering. This includes but is not limited to questions such as ‘How to model diversity?’ , ‘How to discover bias and opinion in blog posts, tweets, forum items, wiki edits, etc.?’ , ‘How to rank, aggregate, summarize, and exploit information in a diversity-aware manner?’ , ‘What are the applications of diversity-rich information sources?’ , ‘How can we use diversity as an asset instead of regarding it as a barrier?’ . Topics In particular we welcome submissions that Analyze the capabilities of current information management models, algorithms and technologies to leverage knowledge diversity, Extend existing models, methods, techniques and tools to accommodate the requirements arising from paying a proper account to diversity-expressed information sources and communication and collaboration environments characterized by a rich variety of opinions and viewpoints. Discuss the foundations of knowledge diversity on the Web and propose alternative paradigms, Propose novel evaluation strategies, methods and techniques to assess the impact of diversity-minded information management. Topics of the workshop include, but are not limited to: Risks and advantages of diversity and diversification on the Web Facets of knowledge diversity and conceptual and formal models for representing and understanding diversity Discovery and mining of corpora for diversity-related information Use of Natural Language Processing techniques for diversity mining Classifying Web 2.0 content items such as blog posts, videos, tweets, and wiki-edits by their biases Usage and benefits of diversity in the corporate context, e.g. in order to understand feedback and communication with the customer Enabling or improving communication and collaboration over barriers induced by diversity Extensions to Web applications taking diversity into account Exposing and explaining diversity to end users User experiences avoiding the radicalization of groups by exposing them to alternatives User interfaces allowing the explicit annotation of content with diversity markers Studies on the acceptance by end-users of diversified applications. We explicitly invite experience reports on topics related of diversity from the Web as it is used in India. Submissions We aim at four different kind of submission: research papers of the length of 8 pages presenting mature work, prototypes and methodologies, position papers of the length of 4 pages presenting early work and elaborated ideas, demo outlines of the length of 2 pages, and experience reports of up to 6 pages about dealing and managing with diversity, especially within the usage of the Web in India. Submission format is the same as for WWW 2011 (i.e. ACM style). Selected papers will be invited for a special issue of a journal or as bookchapters, pending negotiations. Submissions can be submitted to EasyChair . Important dates Submission deadline: Submission deadline: 11th February, 2011 Notification of acceptance: 7th March, 2011 Camera ready versions of accepted papers: 19th March, 2011 Workshop date: 28th or 29th March, 2011 (TBD) Programm Committee To be announced Organization committee Elena Simperl , AIFB, KIT, Germany Devika P. Madalli , Indian Statistical Institute, Bangalore, India Denny Vrandecic , AIFB, KIT, Germany Enrique Alfonseca , Google Zurich, Switzerland Contact us at diversiweb@lists.kit.edu
http://www.icmlc.com/iwwip/iwwip_welcome.htm Organized By: IEEE System, Man and Cybernetic Society, Shenzhen Chapter Harbin Institute of Technology(Shenzhen), China The World Wide Web (WWW) is an extremely important information source, which is widely used by people from every walk of life. In addition, due to the growing popularity of the WWW, information on the web gets richer and richer everyday. But, this does not come in at no cost. The growing amount of information over the WWW renders information processing more and more complex and hence more time consuming. This leads to the inception of the International Workshop on Web Information Processing (IWWIP) series. IWWIP 2010 will provide a forum for researchers on information processing to explore techniques for retrieving, organizing, analyzing, mining and learning of both structured and unstructured information on the WWW. Especially, IWWIP 2010 focuses on research on the application of text mining, natural language processing and natural language understanding techniques to process large amount of complex Web information. IWWIP 2010 will be held as part of 2010 IEEE International Conference on Machine Learning and Cybernetics (ICMLC 2010). Participants are free to attend sessions, tutorials, panels, and demonstrations offered by both ICMLC 2010 and IWWIP 2010. All IWWIP 2010 papers will be published in the ICMLC 2010 Proceedings and appear in IEEE Xplore (All past ICMLC papers are EI indexed). Furthermore, selected papers will be recommended for publication in the International Journal of Computer Processing of Oriental Languages, Far East Journal of Experimental and Theoretical Artificial Intelligence and International Journal of Machine Learning and Cybernetics. Topics of Interest We invite submissions in all Web information processing related areas. Areas of interest include, but are not limited to: Content-based Web Information Filtering Intelligent Human-Web Interaction Machine Learning for Information Processing Ontology-Based Information Extraction and Retrieval Opinion Mining and Sentiment Analysis Search Engines and Meta-search Engines Social Networks Model and Mining Soft Computing for Information Processing Language Generation Parsing and Chunking Question Answering Web Information Extraction Semantic Role Labeling for Information Processing Machine Translation Multilingual Processing Multimodal Systems and Representations Statistical and Machine Learning Methods Knowledge Grids and Grid Intelligence Text Mining and Web Content Mining Web Information Categorization Web Information Clustering Web Information Retrieval Web-Based Ontology Learning Paper Submission Paper submissions should be limited to a maximum of 6 pages (one extra page would be allowed with additional payment). The papers must be written in English and should be formatted according to the ICMLC 2010 paper format requirements (please refer to ICMLC 2010 website). All submitted papers will be reviewed by at least 2 reviewers on the basis of technical quality, relevance, significance, and clarity. The workshop only accepts on-line submissions. Organization and Committees Conference Co-Chairs: Xiaolong Wang, Harbin Institute of Technology, China Kam-Fai Wong, The Chinese University of Hong Kong, China Daniel Yeung, South China University of Technology, China General Co-Chair: Qingcai Chen, Harbin Institute of Technology, China Key-Sun Choi, Korea Advanced Institute of Science Technology, Korea Program Co-Chairs: Chunyu Kit, City University of Hong Kong, Hong Kong Ruifeng Xu, Harbin Institute of Technology, China Steering Committee Co-Chairs: Chu-Ren Huang, The Hong Kong Polytechnic University, Hong Kong Qin Lu, The Hong Kong Polytechnic University, China Maosong Sun, Tsinghua University, China Shiwen, Yu, Peking University, China Chengqing, Zong, Chinese Academy of Sciences, China Organization Chair: Bingquan Liu, Harbin Institute of Technology, China Publication Chair: Chengjie Sun, Harbin Institute of Technology, China Program Committee: Yuxing, Ding, Harbin Institute of Technology, China Guohong Fu, Heilongjiang University, China Jun He, Renmin University of China, China Xuanjing Huang, Fudan University, China Lun-Wei Ku, National Taiwan University, Taiwan Wei Lam, Chinese University of Hong Kong, Hong Kong Haizhou Li, Institute for Infocomm Research, Singapore Sujian Li, Beijing University, China Wenjie Li, The Hong Kong Polytechnic University, Hong Kong HongFei Lin, Dalian University of Technology, China Qun Liu, Chinese Academy of Sciences, China Tao Liu, Renmin University of China, China Ting Liu, Harbin Institute of Technology, China Jian-Yun Nie, University de Montreal, Canada Bing Qin, Harbin Institute of Technology, China Jian Su, Institute for Infocomm Research, Singapore Zhifang Sui, Beijing University, China Le Sun, Chinese Academy of Sciences, China Songbo Tan, Chinese Academy of Sciences, China XiaoJun Wan, Peking University, China Ting Wang, National University of Defense Technology, China Bin Wang, Chinese Academy of Sciences, China Yunqing Xia, Tsinghua University, China Hongbo Xu, Chinese Academy of Sciences, China Endong Xun, Beijing Language and Culture University, China Muyun Yang, Harbin Institute of Technology, China Jianmin Yao, Suzhou University, China Tianfang Yao, ShangHai Jiao Tong University, China Min Zhang, Institute for Infocomm Research, Singapore Hai Zhao, ShangHai Jiao Tong University, China Jun Zhao, Chinese Academy of Sciences, China Tiejun Zhao, Harbin Institute of Technology, China Guodong Zhou, Suzhou University, China Lina Zhou, University of Maryland at Baltimore County, USA Jingbo Zhu, Northeastern University, China Important Date: Submission Due: April 20, 2010 Notification of Acceptance: May 15, 2010 Registration Due: May 22, 2010 Camera-Ready: May 24, 2010 Conference: July 12-13, 2010 For further details or clarifications, please see our websites: Conference website: http://www.icmlc.com Workshop website: http://www.icmlc.com/iwwip or contact the PC co-chairs: Ruifeng Xu xuruifeng@hitsz.edu.cn Chunyu Kit ctckit@cityu.edu.hk
Social Networks and Web 2.0 Papers at WWW 2009 The organizers of the World Wide Web conference recently announced the list of accepted papers for this years event. In the Social Networks and Web 2.0 track (chaired by Elisa Bertino and Lada Adamic) the following papers are listed (where the paper is available online, Ive provided a link to the PDF): Sharad Goel, Roby Muhamad and Duncan Watts. Social Search in Small World Experiments Ulrik Brandes, Patrick Kenis, Juergen Lerner and Denise van Raaij. Network Analysis of Collaboration Structure in Wikipedia Yutaka Matsuo and Hikaru Yamamoto. Community Gravity: Measuring Bidirectional Effects by Trust and Rating on Online Shilad Sen, Jesse Vig and John Riedl. Tagommenders: Connecting Users to Items through Tags Jiang Bian, Yandong Liu, Ding Zhou, Eugene Agichtein and Hongyuan Zha. Learning to Recognize Reliable Users and Content in Social Media with Coupled Mutual Reinforcement Jrme Kunegis, Andreas Lommatzsch and Christian Bauckhage. The Slashdot Zoo: Mining a Social Network with Negative Edges Dietwig Lowet and Daniel Goergen. Co-browsing dynamic web pages Anon Plangprasopchok and Kristina Lerman. Constructing Folksonomies from Userspecified Relations on Flickr Jose San Pedro and Stefan Siersdorfer. Ranking and Classifying Attractiveness of Photos in Folksonomies David Crandall, Lars Backstrom, Daniel Huttenlocher and Jon Kleinberg. Mapping the World's Photos Munmun De Choudhury, Hari Sundaram, Ajita John and Doree Seligmann. What Makes Conversations Interesting? Themes, Participants and Consequences of Conversations in Online Social Media Thomas Karagiannis and Milan Vojnovic. Behavioral Profiles for Advanced Email Features Cristian Danescu Niculescu-Mizil, Gueorgi Kossinets, Jon Kleinberg and Lillian Lee. How opinions are received by online communities: A case study on Amazon.com helpfulness votes Meeyoung Cha, Alan Mislove and Krishna Gummadi. A Measurement-driven Analysis of Information Propagation in the Flickr Social Network
标签: WWW
