Majority Vote method for preferences detection: Application for Social Networks

This study uses quantitative data analysis methods. Data is collected through questionnaires distributed using Google Form. There were 100 respondents who had filled out the questionnaire. Based on the analysis of research questionnaires, the results show that there are two variables that influence purchasing through mobile advertising in Indonesia. They are attitude towards mobile advertising and social influence.

Section: Discussionmentioning

confidence: 99%

Success Factors Influencing Consumers’ Willingness to Purchase Brand Advertised Through Mobile Phone in Indonesia

Wang¹

2019

“…The conceptual framework reveals that entrepreneurs need personal and extended networks to motivates them in doing entrepreneurship. The term of "networks" can be understood as approaches of interactions or relationships, where the nodes consist of actors, and the edges consist of relationships or interactions between these actors [6]. According to [18], in entrepreneurship studies, network and linkages is a set of actors connected by a set of repeated interaction either formal or informal.…”

Section: Discussionmentioning

confidence: 99%

“…The literature on support networks highlighted that there are variety of network sources in which entrepreneurs obtain resources for their businesses. [6] mentioned a set of users who frequently interact with each other and share the same preferences and interests is defined as a community in a social network, for example the process of buying and selling.…”

Section: Introductionmentioning

confidence: 99%

Identification of Networking Connectivity Components in doing Seniorpreneurship

Muhamad¹

2019

This paper presents one of the crucial capitals owned by seniorpreneurs that built up over their working careers known as social capital. In this study, one of the possible components of social capital which influence seniorpreneurship is by having vast networking and linkages. Hence, this study identifying formal and informal networks within networking connectivity are essentials to strong and sustainable seniorpreneurship activity. It can be done by incorporating formal and informal networking connectivity model in order to strengthening their social capital in doing seniorpreneurship. The research employed systematic analysis from literature searched from electronic databases, hand pick, and other relevant works, summarize information gathered and finally interpreted the information. In the present paper the component of networking is investigated from entrepreneurial perspective in the field of entrepreneurship since efforts to review the networking connectivity for seniorpreneurs are scarce. Thus, the component of network needed in doing seniorpreneurship are rooted in entrepreneurial literature known as formal and informal networks. Thus, this result enriches previous literature about seniorpreneurs and their vast networking and linkages.

“…Techniques for gathering tolerant information, answering to health authorities and assembling reports are expensive and tedious. Given the fame of online networking, irresistible ailment observation frameworks that utilization information sharing advancements to precisely follow web-based social networking [24] information could possibly illuminate early alerting frameworks and outbreak reaction, and encourage correspondence between human services suppliers and nearby, national and universal health specialists. Some of the approaches using social media data for analysis were described in brief in this section.…”

Section: Epidemic Disease Outbreak: Techniques and Approachesmentioning

confidence: 99%

A survey on prediction approaches for epidemic disease outbreaks based on social media data

S¹

2019

Currently, in order to recognize the Epidemic diseases in the earlier stage, social media and search queries are the most reliable source of data to mine and obtain new information about current activities. These interactive groups play a significant role where users give data of their likings and acquaintances. This data can be utilized to quantify the impact of thoughts and the general public conclusions continuously, being helpful on a few fields and research regions, for example, advertising efforts, budgetary expectation or open Medicare applications among others. Recently there are many techniques and approaches were handled by the researchers for monitoring the web data sources in order to identify the health measures of the public has developed as another important imperative so-called Epidemic Intellect. For early discovery of disease outbreaks in order to decrease the effect of epidemics by monitoring, several intelligence systems were generally used by the health care organizations. In this paper, the literature review is based on the different prediction methods and their approaches to extract web data from social medias like Facebook and twitter which are all gained much attention on early disease detection for public wellbeing. Among 60 papers related to prediction of epidemic outbreaks using social media data are reviewed and analyzed based on various diseases and prediction approaches.