The purpose of this article is to provide an in-depth overview of the scientific literature
pertaining to the Human Brand (HB) and to highlight research opportunities based on trends …

This paper describes main modern tendencies for the design and development of e-tourism
recommender systems with sentiment analysis of user generated content in social media …

Identification of the influential users is one of the most practical analyses in social networks.
The importance of this analysis stems from the fact that such users can affect their followers …

Previous studies show that search engine query data is a valuable predictor for tourism
demand forecasting. The goals of this study are to identify the current positions of hotels in …

Abstract In recent years, Sina Weibo, a Twitter-like social network service in China, has
attracted attention from scholars in the domain of information systems, as the spread and …

The aim of this paper is to create and present a model which suggests what and how
Instagram tools should be used by a new travel influencer trademark in order to create …

Directed links in social media determine the flow of information and, hence, indicate a user's
influence. This paper proposes a novel visual framework to explore Twitter's 'Who Follows …

The studies on the evolution of tourist destinations are not a new issue, however, most of
them have been focused on consolidated destinations, whereas only a minimum has been …

The abundant use of the Internet and mobile technologies while traveling leaves a digital
footprint in the form of big data that can be tracked. Big data bring information about spatial …

Computers and devices, today ubiquitous in our daily life, foster the generation of vast
amounts of data. Turning data into information and knowledge is the core of data mining and …