An Innovative Way to Model Twitter Topic-Driven Interactions Using Multiplex Networks [0.03%]
基于多层网络的 twitter 主题驱动型互动模型
Obaida Hanteer,Luca Rossi
Obaida Hanteer
We propose a way to model topic-based implicit interactions among Twitter users. Our model relies on grouping Twitter hashtags, in a given context, into themes/topics and then using the multiplex network model to construct a thematic multip...
Abusive Language Detection in Online Conversations by Combining Content- and Graph-Based Features [0.03%]
融合内容和图特征的在线对话谩骂语言检测方法研究
Noé Cécillon,Vincent Labatut,Richard Dufour et al.
Noé Cécillon et al.
In recent years, online social networks have allowed world-wide users to meet and discuss. As guarantors of these communities, the administrators of these platforms must prevent users from adopting inappropriate behaviors. This verification...
You Can't See Me: Anonymizing Graphs Using the Szemerédi Regularity Lemma [0.03%]
隐身术：利用Szemerédi规则引理匿名化图数据
Daniele Foffano,Luca Rossi,Andrea Torsello
Daniele Foffano
Complex networks gathered from our online interactions provide a rich source of information that can be used to try to model and predict our behavior. While this has very tangible benefits that we have all grown accustomed to, there is a co...
Shagun Sodhani,Meng Qu,Jian Tang
Shagun Sodhani
Network embedding, which aims at learning distributed representations for nodes in networks, is a critical task with wide downstream applications. Most existing studies focus on networks with a single type of edges, whereas in many cases, t...
Chieh-Yang Huang,Hanghang Tong,Jingrui He et al.
Chieh-Yang Huang et al.
Geographic information provides an important insight into many data mining and social media systems. However, users are reluctant to provide such information due to various concerns, such as inconvenience, privacy, etc. In this paper, we ai...
Laura Quitzau Mortensen,Kristoffer Andresen,Jakob Burcharth et al.
Laura Quitzau Mortensen et al.
Matching is frequently used in observational studies, especially in medical research. However, only a small number of articles with matching programs for the SAS software (SAS Institute Inc., Cary, NC, USA) are available, even less are usab...
Dawei Zhou,Lecheng Zheng,Jiejun Xu et al.
Dawei Zhou et al.
Characterizing and modeling the distribution of a particular family of graphs are essential for the studying real-world networks in a broad spectrum of disciplines, ranging from market-basket analysis to biology, from social science to neur...
Qiaoyu Tan,Ninghao Liu,Xia Hu
Qiaoyu Tan
Social network analysis is an important problem in data mining. A fundamental step for analyzing social networks is to encode network data into low-dimensional representations, i.e., network embeddings, so that the network topology structur...
Research Challenges at the Intersection of Big Data, Security and Privacy [0.03%]
大数据、网络安全和隐私保护的挑战研究
Murat Kantarcioglu,Elena Ferrari
Murat Kantarcioglu
Stuart Jackson,Maha Yaqub,Cheng-Xi Li
Stuart Jackson
The continuous delivery of applied machine learning models in healthcare is often hampered by the existence of isolated product deployments with poorly developed architectures and limited or non-existent maintenance plans. For example, actu...