scholarly journals Using Data Analytics to Filter Insincere Posts from Online Social Networks A Case Study: Quora Insincere Questions

2020 ◽  
Author(s):  
Mohammad Al-Ramahi ◽  
Izzat Alsmadi
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Data Analytics ◽  
Using Data

scholarly journals Debate on online social networks at the time of COVID-19: An Italian case study

2021 ◽  
Vol 23 ◽  
pp. 100136
Author(s):  
Martino Trevisan ◽  
Luca Vassio ◽  
Danilo Giordano
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Italian Case

Emergent Data Mining Tools for Social Network Analysis

2015 ◽  
pp. 1539-1556
Author(s):  
Dhiraj Murthy ◽  
Alexander Gross ◽  
Alex Takata
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Social Network ◽  
Network Analysis ◽  
Online Social Networks ◽  
Data Extraction ◽  
Future Directions ◽  
Effective Development ◽  
Mining Tools

This chapter identifies a number of the most common data mining toolkits and evaluates their utility in the extraction of data from heterogeneous online social networks. It introduces not only the complexities of scraping data from the diverse forms of data manifested in these sources, but also critically evaluates currently available tools. This analysis is followed by a presentation and discussion on the development of a hybrid system, which builds upon the work of the open-source Web-Harvest framework, for the collection of information from online social networks. This tool, VoyeurServer, attempts to address the weaknesses of tools identified in earlier sections, as well as prototype the implementation of key functionalities thought to be missing from commonly available data extraction toolkits. The authors conclude the chapter with a case study and subsequent evaluation of the VoyeurServer system itself. This evaluation presents future directions, remaining challenges, and additional extensions thought to be important to the effective development of data mining tools for the study of online social networks.

Data analytics dilemma at Alpen Hotel

2019 ◽  
Vol 9 (2) ◽  
pp. 58-63
Author(s):  
Tammy Wee ◽  
Arif Perdana ◽  
Detlev Remy
Keyword(s):  
Customer Relationship Management ◽  
Data Analytics ◽  
Data Privacy ◽  
Hospitality Industry ◽  
Service Providers ◽  
Relationship Management ◽  
Customer Relationship ◽  
Using Data ◽  
Privacy And Confidentiality

Data analytics is currently the buzzword for the hospitality industry to stay ahead of their competitors. Service providers use data analytics to ensure their brand remains relevant for customers. Using data analytics in customer relationship management is a relatively novel initiative for the hospitality industry to enhance the efforts of customer relationship management. Obtaining customers’ data (i.e. customers’ hotel stay and preferences) provides both opportunity and challenges for the hospitality industry. Data analytics helps the hospitality industry to quickly, effectively, and efficiently pursue data-driven decision-making. At the same time, acquiring relevant customers’ data is a challenge, for example, data privacy and confidentiality. This case study is based on Alpen Hotel (pseudonym), a luxury hotel in Singapore with a good standing in the hospitality industry. This case is focused on the issues they experienced in implementing data analytics as part of the hotel’s customer relationship management efforts. This case study aims to highlight data analytics dilemma at the hotel and may create an opportunity for hospitality educators to work interdisciplinary with faculties from an information systems or technology discipline. Finally, the case study may enhance knowledge and minimise the practice gap between industry and academia.

Data mining and social web semantics: a case study on the use of hashtags and memes in Online Social Networks

2017 ◽  
Vol 15 (12) ◽  
pp. 2276-2281 ◽  
Author(s):  
Pedro Pinto ◽  
Ingrhid Theodoro ◽  
Marcos Arrais ◽  
Jonice Oliveira
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Online Social Networks ◽  
Social Web

scholarly journals An Empirical Study Of User Acceptance Of Online Social Networks Marketing

2013 ◽  
Vol 50 ◽  
Author(s):  
Olumayowa Mulero ◽  
Michael Adeyeye
Keyword(s):  
Social Networks ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Online Social Networks ◽  
User Acceptance ◽  
Perceived Usefulness ◽  
Western Cape ◽  
User Intentions ◽  
Using Data ◽  
Acceptance Model

The explosion of Internet usage has drawn the attention of researchers towards online Social Networks Marketing (SNM). Research has shown that a number of the Internet users are distrustful and indecisive, when it comes to the use of social networks marketing system. Therefore, there is a need for researchers to identify some of the factors that determine users’ acceptance of social networks marketing using Technology Acceptance Model (TAM). This study extended the Technology Acceptance Model theoretical framework to predict consumer acceptance of social networks marketing within Western Cape Province of South Africa. The research model was tested using data collected from 470 questionnaires and analysed using linear regression. The results showed that user intentions to use SNM are strongly and positively correlated with user acceptance of using SNM systems. Empirical results confirmed that perceived credibility and perceived usefulness are the strongest determinant in predicting user intentions to use SNM system.

scholarly journals Comunidades em redes sociais na internet: um estudo de caso dos fotologs brasileiros | Communities in Social Networks on the internet: a case study of Brazilian photologs

2008 ◽  
Vol 4 (1) ◽  
Author(s):  
Raquel Recuero
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Virtual Communities ◽  
Social Ties ◽  
Online Social Network ◽  
Virtual Community ◽  
Capital Social ◽  
Social Forms ◽  
Computer Mediated

Resumo Redes sociais online são grupos de atores que se constituem através da interação mediada pelo computador. Essas interações são capazes de estabelecer novas formas sociais de grupos e comunidades. Através da discussão de diversos conceitos de comunidade e comunidade virtual, propõe-se o estudo das comunidades virtuais como uma forma de rede social. Esse debate teórico é discutido então no campo de estudo constituído pelo Fotolog, durante os anos de 2005 e 2006. O fotolog é um sistema que permite aos usuários a publicação de fotografias, textos e comentários. Dos dados coletados através de formas qualitativas e quantitativas, propomos uma tipologia para as comunidades virtuais baseada em sua estrutura (a rede em si) e sua composição (tipos de laços sociais e capital social). Esses tipos são definidos como comunidades virtuais emergentes, comunidades virtuais de associação e comunidades virtuais híbridas.Palavras-chave redes sociais, comunidades virtuais, fotolog.Abstract Online social networks are groups of actors formed by computer-mediated social interaction. These interactions are capable of establishing new social forms of groups and communities. Based on a discussion over several concepts of community and virtual community we propose the virtual community as a specific form of online social network. This theoretical debate is brought to the field studying the system named Fotolog during 2005 and 2006. Fotolog (www.fotolog.com) is a web service that allows for its users to post photographs or images with an associated text and other users may comment on each other’s posts. From the collected data, we propose a typology for communities found in these networks, based on their structure (network) and composition (social ties and social capital). We define three types of communities as associative virtual communities, emergent virtual communities and hybrid virtual communities.Keywords social networks, virtual communities, fotolog. 

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