In the fast-growing scholarly big data background, social network technologies have recently
aroused widespread attention in academia and industry. The concept of academic social …

This book is concerned with the importance of Human Computer Interaction (HCI), Usability,
user participants, and Sustainability in the Information Communication Technology (ICT) …

In machine-learning based mobile app traffic classification, flow feature distributions can
easily drift due to changes in network environments, user habits etc. Unstable features may …

Among different types of the pervasive social networks, microblogging social network
recently provides most efficient services for diffusing information of news, ideas and …

One of the most significant current challenges in large-scale online social networks, is to
establish a concise and coherent method aimed to collect and summarize data. Sampling …

In this paper we will propose novel method that analyze a social network represented as a
net of microblogging accounts. Based on hashtags in users posts we will detect not only the …

Identifying top-ranked nodes can be performed using different centrality measures, based on
their characteristics and influential power. The most basic of all the ranking techniques is …

Most real world dynamic networks are evolved very fast with time. It is not feasible to collect
the entire network at any given time to study its characteristics. This creates the need to …

Sina Weibo, an online social network site, has gained popularity but lost it in recent years.
Now we are still curious on the number of posts in Sina Weibo in its golden age. Besides …

Abstracts: This research aims to: 1. Study the factors that influence the intention to purchase
agricultural products online among Gen X and Y consumers, and 2. Examine the impact of …