کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6862019 | 1439262 | 2018 | 29 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A graph-based approach to ememes identification and tracking in Social Media streams
ترجمه فارسی عنوان
یک رویکرد مبتنی بر گراف برای شناسایی و ردیابی در جریان رسانه های اجتماعی است
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کلمات کلیدی
مامان امید، تکامل اطلاعات، انتشار اطلاعات، نمودار متن، تخریب گراف، منطق فازی،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
A meme, as defined by Richard Dawkins, is a unit of information, a concept or an idea that spreads from person to person within a culture. Examples of memes can be a musical melody, a catchy phrase, trending news, behavioral patterns, etc. In this article the task of identifying potential memes in a stream of texts is addressed: in particular, the content generated by users of Social Media is considered as a rich source of information offering an updated window on the world happenings and on opinions of people. A textual electronic meme, a.k.a. ememe, is here considered as a frequently replicated set of related words that propagates through the Web over time. In this article an approach is proposed that aims to identify ememes in Social Media streams represented as graph of words. Furthermore, a set of measures is defined to track the change of information in time.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 139, 1 January 2018, Pages 108-118
Journal: Knowledge-Based Systems - Volume 139, 1 January 2018, Pages 108-118
نویسندگان
Ekaterina Shabunina, Gabriella Pasi,