PTMIB: Profiling top most influential blogger using content based data mining approach

机译：PTMIB：使用基于内容的数据挖掘方法来分析最有影响力的博客

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Online Social Network (OSN) provides fastest way to communicate and spread information, influencing users in the network. Blog sites allow the users to reflect and share opinions on various topics of discussion in the form of blogs/online journals and letting readers to comment on their blogs/posts. In this work, a novel method to profile Top Most Influential Blogger (TMIB) is proposed based on content analysis. Contents of blog documents of bloggers under consideration in the blog network are compared and analyzed. Term Frequency and Inverse Document Frequency (TF-IDF) of two blog documents are obtained at a given point of time to get the Cosine Similarity score between those documents. The Influence Scores (IS) of bloggers under conflict are computed. The simulation results demonstrates that the proposed Profiling Top Most Influential Blogger (PTMIB) algorithm is adequately accurate in determining the top most influential blogger at any instant of time considered.

机译：在线社交网络（OSN）提供了最快的方式来传播和传播信息，从而影响网络中的用户。博客站点允许用户以博客/在线日记的形式反映和分享有关各种讨论主题的观点，并允许读者对他们的博客/帖子发表评论。在这项工作中，基于内容分析，提出了一种对最具影响力的Blogger（TMIB）进行概要分析的新颖方法。比较并分析了博客网络中正在考虑的博客作者的博客文档的内容。在给定的时间点获得两个博客文档的术语频率和文档反向频率（TF-IDF），以获取这些文档之间的余弦相似度得分。计算冲突下博客的影响力分数（IS）。仿真结果表明，在考虑的任何时刻，建议的性能最高的最有影响力的博客作者（PTMIB）算法在确定最有影响力的Blogger方面都足够准确。

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《International conference on data science engineering》|2016年|1-6|共6页
会议地点 Kochi(IN)
作者
G U Vasanthakumar; R Priyanka; K C Vanitha Raj; S Bhavani; B R Asha Rani; P Deepa Shenoy; K R Venugopal;
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Department of Computer Science and Engineering University Visvesvaraya College of Engineering Bangalore India;

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Blogs; Social network services; Time-frequency analysis; Semantics; Error analysis; Data mining;

机译：博客；社交网络服务；时频分析；语义学错误分析；数据挖掘;

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专利

1. PIB: Profiling Influential Blogger in Online Social Networks, A Knowledge Driven Data Mining Approach [J] . G.U. Vasanthakumar, Bagul Prajakta, P. Deepa Shenoy, Procedia Computer Science . 2015,第1期

机译：PIB：在线社交网络中有影响力的Blogger分析，这是一种知识驱动的数据挖掘方法
2. Predicting Influential Blogger’s by a Novel, Hybrid and Optimized Case Based Reasoning Approach With Balanced Random Forest Using Imbalanced Data [J] . Yousra Asim, Ahmad Kamran Malik, Basit Raza, Quality Control, Transactions . 2021,第1期

机译：利用不平衡数据预测具有新颖，混合和优化的基于案例的推理方法，通过不平衡数据进行平衡随机林
3. Modeling of Heavy Metal (Ni, Mn, Co, Zn, Cu, Pb, and Fe) and PAH Content in Stormwater Sediments Based on Weather and Physico-Geographical Characteristics of the Catchment-Data-Mining Approach [J] . ?ukasz B?k, Bartosz Szel?g, Aleksandra Sa?ata, Water . 2019,第3期

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4. An Algorithm for Mining Top K Influential Community Based Evolutionary Outliers in Temporal Dataset [C] . Hu Yun, Xie Junyuan, Wang Chongjun, International Conference on Tools with Artificial Intelligence . 2013

机译：时间数据集中基于Top K影响社区的进化离群值的挖掘算法
5. Constructing user behavioral profiles using data-mining-based approach. [D] . Gao, Wei. 2005

机译：使用基于数据挖掘的方法来构建用户行为配置文件。
6. A Data-Based Approach to Discovering Multi-Topic Influential Leaders [O] . Xing Tang, Qiguang Miao, Shangshang Yu, -1

机译：一种基于数据的发现多主题有影响力的领导者的方法
7. PIB: Profiling Influential Blogger in Online Social Networks, A Knowledge Driven Data Mining Approach [O] . Vasanthakumar, GU, Prajakta, Bagul, Shenoy, Deepa P, 2015

机译：PIB：对在线社交网络中有影响力的Blogger进行分析，这是一种知识驱动的数据挖掘方法

PTMIB: Profiling top most influential blogger using content based data mining approach

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