Using social networking analysis

Ebook "Online brand communities: Using the social web for branding and marketing" presents and analyzes the concept of online brand communities, an emerging and exciting topic in marketing and eCommerce. First, it lays out the foundations like the evolution of the Web and the so-called Social Web, its utility for users and businesses, and the evolution of the marketing mind-set to adapt the Social Web. On this basis, the book then presents a detailed analysis of online brand communities, examining the concept of virtual community with a specific focus on virtual brand communities.

256p giangdongdinh 30-05-2024 4 2   Download

This research presents an analysis of the value given to the game as an educational resource on social networks. The purpose of this study is to analyze the discourse on Twitter of the different educational agents (teachers and other educational professionals) to know the value given to the use of this tool and how the social network is an educational form of communication and interaction.

15p viarnault 25-04-2024 3 2   Download

Part 1 of ebook "Software engineering, artificial intelligence, networking and parallel/distributed computing 2011" includes the following main contents: analysis of ISSP environment II survey data using variable clustering; polar transformation system for offline handwritten character recognition; examining QoS guarantees for real-time CBR services in broadband wireless access networks; sin and sigmoid higher order neural networks for data simulations and predictions; a proposal of mouth shapes sequence code for Japanese pronunciation;...

90p khuynhlinhnguyet1009 05-04-2024 3 1   Download

Recently, many applications in video surveillance, intelligent traffic system and social security management require information of vehicle trajectories in an urban area. Conventional methods tried to track moving vehicles by using either appearance matching or spatial and temporal information to estimate vehicle trajectory.

10p vidoctorstrange 06-05-2023 10 2   Download

Ebook Current issues in knowledge management: Part 2 presents the following content: Chapter XV: A method for knowledge modeling language (UML): Building a blueprint for knowledge management; Chapter XVII: Using social networking analysis to facilitate knowledge sharing amongst senior managers in multinational organisations; Chapter XVIII: Leveraging current experiences for future actions: An exemplar of knowledge reuse;…

160p runthenight08 12-04-2023 4 1   Download

The paper focuses on investigating verbal bullying between high school students in Da Nang city, and developing measures to reduce bullying in high school students. Methods used in the research include theoretical analysis and synthesis, questionnaire, in-depth interviews, and educational experiment.

6p vipatriciawoertz 31-05-2022 14 1   Download

This article is not only the depth of analysis of social network roles in community-based tourism, but also it provides more holistic view of Dao People who have used their cultural capital to economic market expansion.

16p visherylsandberg 18-05-2022 14 3   Download

Network analysis is a powerful way of modeling chromatin interactions. Assortativity is a network property used in social sciences to identify factors affecting how people establish social ties. We propose a new approach, using chromatin assortativity, to integrate the epigenomic landscape of a specific cell type with its chromatin interaction network and thus investigate which proteins or chromatin marks mediate genomic contacts.

19p viaristotle 29-01-2022 11 0   Download

The study of cultural evolution has taken on an increasingly interdisciplinary and diverse approach in explicating phenomena of cultural transmission and adoptions. Inspired by this computational movement, this study uses Bayesian networks analysis, combining both the frequentist and the Hamiltonian Markov chain Monte Carlo (MCMC) approach.

19p lazzaro 30-12-2021 19 0   Download

The study site for this research was Shenandoah National Park (n = 1442). Using k-means clustering analysis, data were clustered into visitor groups and statistically compared to gain insight into patterns of responses. Visitors mostly reported neutral preferences for Wi-Fi access and cellular network service except for cell service park-wide in all national parks was reported as important

8p lazzaro 30-12-2021 14 0   Download

This study provides detailed information about impulse buying on social networking by exploring the relationship of these characteristics to the impulse buying behavior. Based on the SOR and CIFE models, we developed a theoretical model and demonstrated empirically that demonstrates online store stimuli, personalized advertising, and reliance on online word of mouth, impulse buying tendency, and on-line trust effect to impulse buying behavior. 198 questionnaires were collected from consumers using Facebook, mainly in Thai Nguyen.

15p huyetthienthan 23-11-2021 20 5   Download

The purpose of this study is to explore individuals’ usage purposes of social networks sites (SNSs) with a focus on the possible differences between females and males. Online survey was used for data gathering through Facebook. Out of a total number of 265 respondents distributed and The Statistical Package for Social Scientists (SPSS 20.0 version) was used in data analysis.

7p huyetthienthan 23-11-2021 15 2   Download

A quantitative network analysis is conducted, using secondary data collected from news articles in Da Nang, Vietnam. The result identifies a network of inter-organizational relationship for marketing Da Nang tourism between a range of stakeholders including stakeholders from other sectors, other destinations, and countries. The findings also show a significant participation of tourism business sectors and less involvement of local residents in marketing activities as well as a less interaction between local residents and other stakeholders.

11p huyetthienthan 23-11-2021 17 4   Download

With the explosion of social media in e-commerce such as service portals, websites, social networks, and online entertainment channels, it has created a fertile ground for researchers to customer study. Moreover, with the spread of the 4.0 technology revolution, machine learning is considered a very useful tool for online business forecasting and analysis problems.

14p vigiselle2711 29-08-2021 13 2   Download

This study focuses on social capital as an opportunity for community engagement in the management of methane gas (biogas) as renewable energy, which the Self Help Group carries out on the final disposal site in Supit Urang. Methane gas generated from well-managed sites can provide positive advantages that can be used as an energy source (specially for cooking) for the local community as a replacement for LPG. Community participation in biogas management from methane gasses may improve public welfare, particularly in landfill capture and distribution.

12p nguaconbaynhay10 22-02-2021 10 1   Download

Analysis of data from multiple sources has the potential to enhance knowledge discovery by capturing underlying structures, which are, otherwise, difficult to extract. Fusing data from multiple sources has already proved useful in many applications in social network analysis, signal processing and bioinformatics.

17p vikentucky2711 26-11-2020 10 2   Download

This study aimed to identify key motivating factors behind use of social media among Indian users. Data were collected through self-administered questionnaire and conclusion were drawn with the help of factor analysis.

7p murielnguyen 25-06-2020 25 2   Download

The main objective of this research is to find the risk factors, which may affect the business performance of the companies that use “Cloud Computing”, and understand the consequences and its managements.

13p orianahuynh 10-06-2020 34 3   Download

This paper presents a comprehensive scientometric study for the impact of social networks on advertisement. The study uses the Scopus database as a search engine to accomplish the survey.

16p kelseynguyen 28-05-2020 27 1   Download

Though clustering algorithms have long history, nowadays clustering topic still attracts a lot of attention because of the need of efficient data analysis tools in many applications such as social network, electronic commerce, GIS, etc. Recently, semi-supervised clustering, for example, semi-supervised K-Means, semi-supervised DBSCAN, semi-supervised graph-based clustering (SSGC) etc., which uses side information to boost the performance of clustering process, has received a great deal of attention.

12p 12120609 23-03-2020 31 2   Download