کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
381978 660712 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Early detection method for emerging topics based on dynamic bayesian networks in micro-blogging networks
ترجمه فارسی عنوان
روش تشخیص زود هنگام برای موضوعات در حال ظهور بر اساس شبکه های بیزی پویا در شبکه های میکرو وبلاگ نویسی
کلمات کلیدی
شبکه میکرو وبلاگ نویسی ؛ مباحث در حال ظهور ؛ تشخیص زود هنگام
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


• We propose a new method for early detection of emerging topics in micro-blogging.
• We find two characteristics of emerging topic which influence topic diffusion.
• We build a new DBN-based model to represent the temporal evolution of keyword.
• Performance of our method leads one to two hours earlier than others.

Micro-blogging networks have become the most influential online social networks in recent years, more and more people are used to obtain and diffuse information in them. Detecting topics from a great number of tweets in micro-blogging is important for information propagation and business marketing, especially detecting emerging topics in the early period could strongly support these real-time intelligent systems, such as real-time recommendation, ad-targeting, marketing strategy. However, most of previous researches are useful to detect emerging topic on a large scale, but they are not so effective for the early detection due to less informative properties in a relatively small size. To solve this problem, we propose a new early detection method for emerging topics based on Dynamic Bayesian Networks in micro-blogging networks. We first analyze the topic diffusion process and find two main characteristics of emerging topic which are attractiveness and key-node. Then based on this finding, we select features from the topology properties of topic diffusion, and build a DBN-based model by the conditional dependencies between features to identify the emerging keywords. An emerging keyword not only occurs in a given time period with frequency properties, but also diffuses with specific topology properties. Finally, we cluster the emerging keywords into emerging topics by the co-occurrence relations between keywords. Based on the real data of Sina micro-blogging, the experimental results demonstrate that our method is effective and capable of detecting the emerging topics one to two hours earlier than the other methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 57, 15 September 2016, Pages 285–295
نویسندگان
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