Xuming Zhai,Weili Wu,Wen Xu
Xuming Zhai
Cascades of information, ideas, rumors, and viruses spread through networks. Sometimes, it is desirable to find the source of a cascade given a snapshot of it. In this paper, source inference problem is tackled under Independent Cascade (IC...
Eriko Otsuka,Scott A Wallace,David Chiu
Eriko Otsuka
Background: Twitter has evolved into a powerful communication and information sharing tool used by millions of people around the world to post what is happening now. A hashtag, a keyword prefixed with a hash symbol (#), i...
Clustering 1-dimensional periodic network using betweenness centrality [0.03%]
基于中介中心性的周期网络的一维聚类算法研究
Norie Fu,Vorapong Suppakitpaisarn
Norie Fu
Background: While the temporal networks have a wide range of applications such as opportunistic communication, there are not many clustering algorithms specifically proposed for them. ...
Wei Chen,Tian Lin,Cheng Yang
Wei Chen
Background: Influence maximization is the task of finding a set of seed nodes in a social network such that the influence spread of these seed nodes based on certain influence diffusion model is maximized. Topic-aware inf...
Vu H Nguyen,Hien T Nguyen,Vaclav Snasel
Vu H Nguyen
Background: Named entity recognition (NER) is a task of detecting named entities in documents and categorizing them to predefined classes, such as person, location, and organization. This paper focuses on tweets posted on...
Ziyaad Qasem,Marc Jansen,Tobias Hecking et al.
Ziyaad Qasem et al.
Background: Detection of influential actors in social media such as Twitter or Facebook plays an important role for improving the quality and efficiency of work and services in many fields such as education and marketing....
Zhenpeng Li,Xijin Tang,Benhui Chen et al.
Zhenpeng Li et al.
Why group opinions tend to be converged through continued communication, discussion and interactions? Under the framework of the social influence network model, we rigorously prove that the group consensus is almost surely within finite ste...
Shikhar Sharma,Anurag Singh
Shikhar Sharma
Background: A great variety of artificial and natural systems can be abstracted into a set of entities interacting with each other. Such abstractions can very well represent the underlying dynamics of the system when mode...
Effect of direct reciprocity and network structure on continuing prosperity of social networking services [0.03%]
直接互惠和网络结构对社交网络服务持续繁荣的影响研究
Kengo Osaka,Fujio Toriumi,Toshihauru Sugawara
Kengo Osaka
Background: Social networking services (SNSs) are widely used as communicative tools for a variety of purposes. SNSs rely on the users' individual activities associated with some cost and effort, and thus it is not known ...
Modelling and analysis of the dynamics of adaptive temporal-causal network models for evolving social interactions [0.03%]
自适应时间因果网络模型的动力学建模与分析：不断变化的社会互动
Jan Treur
Jan Treur
Background: Network-Oriented Modelling based on adaptive temporal-causal networks provides a unified approach to model and analyse dynamics and adaptivity of various processes, including mental and social interaction proc...