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Guest Editors' Introduction: Social Computing in the Blogosphere

机译：客座编辑介绍：Blogosphere中的社交计算

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The widespread phenomenon of blogging demonstrates the power of citizen journalism and anytime information sharing. People can exchange personal experiences, voice opinions, offer suggestions, and form groups with genuine social activities. Blogs also act as conduits, propagating data at an unprecedented pace that has led to a gigantic and dynamic open source data archive as well as a unique opportunity for various research activities studying influence, trust, reputation, privacy, search, spam, and group interaction. An important challenge lies in modeling and mining this vast pool of data. Social computing is an emerging interdisciplinary field and offers unique opportunities for developing novel algorithms and tools, such as text and content mining, and graph and link mining. An associated challenge is data collection and objective evaluation: How can we effectively collect data and share it for research and benchmark building? The blogosphere''s distinctive nature offers an unprecedented platform for academics, researchers, and industrial practitioners of disparate disciplines to explore and collaborate. The blogosphere offers new challenges that require collaborative research from different disciplines ȁ4; social sciences, computer science, psychology, cultural anthropology, and mathematics, to name a few. This special issue represents a solid step to advance the emerging field.
机译：博客的广泛现象证明了公民新闻事业和随时信息共享的力量。人们可以交流个人经验，发表意见，提出建议，并与真正的社交活动组成小组。博客还充当管道，以前所未有的速度传播数据，这导致了巨大而动态的开源数据存档，以及各种影响，信任，声誉，隐私，搜索，垃圾邮件和小组互动的研究活动的独特机会。一个重要的挑战在于对大量数据进行建模和挖掘。社交计算是一个新兴的跨学科领域，为开发新颖的算法和工具（例如文本和内容挖掘以及图形和链接挖掘）提供了独特的机会。一个相关的挑战是数据收集和客观评估：我们如何才能有效地收集数据并将其共享以进行研究和建立基准？ Blogosphere的独特性质为不同学科的学者，研究人员和行业从业人员提供了前所未有的平台，以进行探索和合作。博客圈提出了新的挑战，需要来自不同学科的合作研究ȁ4；社会科学，计算机科学，心理学，文化人类学和数学，仅举几例。本期特刊是推动新兴领域迈出的坚实一步。

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