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Roger Chen

Key difference between Web 1.0 and Web 2.0 - 0 views

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    Web 2.0 is a buzzword introduced in 2003-04 which is commonly used to encompass various novel phenomena on the World Wide Web. Although largely a marketing term, some of the key attributes associated with Web 2.0 include the growth of social networks, bi-directional communication, various 'glue' technologies, and significant diversity in content types. We are not aware of a technical comparison between Web 1.0 and 2.0. While most of Web 2.0 runs on the same substrate as 1.0, there are some key differences. We capture those differences and their implications for technical work in this paper. Our goal is to identify the primary differences leading to the properties of interest in 2.0 to be characterized. We identify novel challenges due to the different structures of Web 2.0 sites, richer methods of user interaction, new technologies, and fundamentally different philosophy. Although a significant amount of past work can be reapplied, some critical thinking is needed for the networking community to analyze the challenges of this new and rapidly evolving environment.
Roger Chen

The way young Chinese surf the net - CNNIC report - 0 views

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    In April 25, 2008 China Internet Network Information Center (CNNIC) issued the Research Report of China Youth Internet Behaviors. Data shows that till the end of 2007, the number of young web users (under the age of 25) has reached 107 million, which is about half of the overall size of Chinese Internet users.
Roger Chen

Google's view: Three trends in social networking | Webware : Cool Web apps for everyone - 0 views

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    "Social is the new black," Joe Kraus, Google's director of product management, said at a talk on the company's social-computing efforts at the Supernova conference here. Kraus' view, which can be fairly said to represent Google's, is that these are the three big trends in the social Web:
Roger Chen

Wired Campus: A Sociologist Says Students Aren't So Web-Wise After All - Chro... - 0 views

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    Eszter Hargittai, an assistant professor in Northwestern University's sociology department, has discovered that students aren't nearly as Web-savvy as they, or their elders, assume.
Roger Chen

Collaborative Filtering: Lifeblood of The Social Web - ReadWriteWeb - 0 views

  • This, of course, relies on the fact that people's interests, preferences, and ideologies don't change too drastically over time.
  • A filtering system with preference-based recommendations, in essence, is the future of the social web.
  • The best implementations of a Collaborative Filtering (CF) system along with a preference based recommendation/discovery system that I have seen are always on music streaming and discovery sites.
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  • As you can see from above, it is certainly possible to have a good collaborative filtering system without a recommendation engine
  • Collaborative Filtering (Wikipedia definition) is a mechanism used to filter large amounts of information by spreading the process of filtering among a large group of people.
  • The important thing, one that not many social sites realize, is that a (CF) system that doesn't automatically match content to your preferences, is inherently flawed. The reason for this is simple: Unless you can achieve perfect diversity and independence of opinion, one point of view will always dominate another on a particular platform. The dominant point of view on the social web is a left-leaning one, and without the ability to get the most appropriate pieces of content to the people that care most about them, the right-wing point of view gets buried almost every time.
Roger Chen

On diminishing network effects in web 2.0, social media and human limitations... - 0 views

  • Technology allows us to be “always on”. To be part of a never ending conversation. Simply plug in, anywhere, and you can join in. Friends are spread out across every timezone, so there always are people available to interact with.
  • Any respectable  web 2.0 service is based upon the premise that we all want to share anything with the rest of the world.
  • I can’t predict the future, but I find it useful to think in extremes and see if it can help me get a better understanding of the present.
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  • We end up listening and engaging with a much smaller fraction of the group of followers.
  • We end up spending our online time more consciously.
  • I believe that there is a limit to the quality effects of the network.
  • Our human limitations force us to focus on value, on those things that really matter.
Roger Chen

PageRank in academic publishing « Peter Rohde's Blog - 0 views

  • The standard measure scientists use to judge the importance of scientific papers is a simple citation count. That is, how many other papers cite the paper in question? While this measure has its merits, it has one fundamental flaw - not all citations are equal.
  • Numerous authors/bloggers have advocated using a PageRank-like index for quantifying the importance of papers or journals
  • To represent the web we use a directed graph, where the edges carry a direction.
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  • The goal of the PageRank algorithm is two-fold. We wish to construct a measure of relevance that, first, is related to how many incoming links a site has, and second, what the importance of the source of those links was.
  • Well scientific papers can be mapped to a graph in a similar way to web-sites. Specifically, vertices in the graph would represent papers, and edges citations. The PageRank algorithm can be applied out-of-the-box.
  • First of all, one could discount self-citations from the index
  • A second variation that one might try is to add a time bias when calculating the index, such that links from more recent papers carry more weight than from older papers.
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    Numerous authors/bloggers have advocated using a PageRank-like index for quantifying the importance of papers or journals.
Roger Chen

Geeking with Greg: Finding the location of interests and objects from search logs - 0 views

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    A paper at WWW 2008, "Spatial Variation in Search Engine Queries" (PDF), by Lars Backstrom, Jon Kleinberg, Ravi Kumar, and Jasmine Novak offered many clever examples of using where people are when they do a web search both to determine when interest in a topic is geographically isolated and to estimate the physical location of objects.
Roger Chen

Social Network Sites: Definition, History, and Scholarship - 0 views

  • We define social network sites as web-based services that allow individuals to (1) construct a public or semi-public profile within a bounded system, (2) articulate a list of other users with whom they share a connection, and (3) view and traverse their list of connections and those made by others within the system.
  • Early public online communities such as Usenet and public discussion forums were structured by topics or according to topical hierarchies, but social network sites are structured as personal (or "egocentric") networks, with the individual at the center of their own community. This more accurately mirrors unmediated social structures, where "the world is composed of networks, not groups" (Wellman, 1988, p. 37).
Roger Chen

2collab Survey Reveals that Scientists and Researchers are "All Business" with Social A... - 0 views

  • scientists are using blogs, wikis, and social networking and bookmarking applications primarily for professional reasons. Results show that these social media applications have provided scientists and researchers with additional resources to help them collaborate, connect, share and discover information.
  • Over 50% of respondents see web-based social applications playing a key role in shaping the future of research. The largest influence will be on critical analysis and evaluation of research data, professional networking and collaboration, dissemination of research output, career development, as well as grant application and funding.
  • Comments from survey respondents identified several issues need to be addressed before mass acceptance by the research community is possible – namely the need for specialist tools, higher security, and validation of users. However, these concerns were not seen as insurmountable obstacles, and many anticipated tremendous potential for social media.
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    2collab, the research collaboration platform from Elsevier, the world's leading publisher of science, technology and medical (STM) information, announced today the results of a survey, asking researchers about the role of social media in their professional lives. The survey, which yielded over 1,800 responses, revealed that scientists are using blogs, wikis, and social networking and bookmarking applications primarily for professional reasons. Results show that these social media applications have provided scientists and researchers with additional resources to help them collaborate, connect, share and discover information.
Roger Chen

科学网-研究生的"九要" - 0 views

  • 在选择问题过程中,已经必须检索文献和阅读文献了。只有彻底熟悉相关文献,才能做到不“重新发明车轮”,做到站在巨人的肩膀上。
  • 尽管网络检索很方便,但不能代替跑图书馆。因为Deep Web中的东西,未必能看到;因为尚未数字化的文献中,有很多宝贝;因为对于情报学行当,灰色文献更重要,而灰色文献迄今的数字化程度较低。期刊论文、学位论文、会议论文,无论中文外文,都要查。要关注灰色文献。
  • 掌握了一个关键人物(关键机构)的发表物和研究成果,可能比阅读100篇一般文献更有收获。参与到相关学科、相关主题的学术论坛中去,能在世界范围内交到很多朋友,能获取最即时的信息,还可以锻炼英语写作
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  • 参考文献要靠平时积累。 平时不多读东西,不作规范的读书笔记,下笔需要引证时就抓瞎了
Roger Chen

Paul Buchheit: The power of links and the value of global knowledge - 0 views

  • With Pagerank, Google took a very different approach. Instead of considering each page in isolation, they examined the link structure of the entire web and computed a global evaluation of that structure. In other words, they began looking at the entire forest instead of just the individual trees.
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