Finding Influential Authors in Brand-Page Communities
Finding Influential Authors in Brand-Page Communities
复制标题
在品牌页面社区中寻找有影响力的作者
DOI：
10.1609/icwsm.v6i1.14330
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
A. Sheth
中科院分区：
文献类型：
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作者：
Hemant Purohit;J. Ajmera;Sachindra Joshi;Ashish Verma;A. Sheth
企业越来越多地使用社交媒体论坛与客户在线互动，这种现象称为社交客户关系管理（社交 CRM）。在此背景下，企业寻找“有影响力的作者”并优先与其合作就显得尤为重要。我们提出了一项研究，旨在寻找 Twitter 论坛上有影响力的作者，其中创建并分析了基于用户交互的隐式网络。此外，作者简介特征和用户交互特征被组合在决策树分类模型中，以寻找有影响力的作者。一种新颖的客观评估标准用于评估各种特征和建模技术。我们将我们的方法与仅使用形式连接或仅使用作者个人资料特征的其他方法进行比较，结果表明，与这些基线以及使用 Klout 分数相比，分类准确性有了显着提高。
Enterprises are increasingly using social media forums to engage with their customer online- a phenomenon known as Social Customer Relation Management (Social CRM). In this context, it is important for an enterprise to identify “influential authors” and engage with them on a priority basis. We present a study towards finding influential authors on Twitter forums where an implicit network based on user interactions is created and analyzed. Furthermore, author profile features and user interaction features are combined in a decision tree classification model for finding influential authors. A novel objective evaluation criterion is used for evaluating various features and modeling techniques. We compare our methods with other approaches that use either only the formal connections or only the author profile features and show a significant improvement in the classification accuracy over these baselines as well as over using Klout score.