Hacking in to the social media network of bacteria: The antiquorum sensing properties of herbs and spices

Planta Medica ◽  
2016 ◽  
Vol 81 (S 01) ◽  
pp. S1-S381 ◽  
Author(s):  
S Cosa ◽  
AM Viljoen ◽  
SK Chaudhary ◽  
W Chen
Keyword(s):  
Social Media ◽  
Sensing Properties ◽  
The Social ◽  
Social Media Network ◽  
Herbs And Spices

scholarly journals Earthquake Shake Detecting by Data Mining from Social Network Platforms

2020 ◽  
Vol 10 (3) ◽  
pp. 812
Author(s):  
Yu-Jung Chuo
Keyword(s):  
Social Media ◽  
Semantic Analysis ◽  
Bulletin Board ◽  
Tree Model ◽  
Detection Model ◽  
The Social ◽  
Network Platform ◽  
Scale Detection ◽  
Central Weather Bureau ◽  
Social Media Network

This study used social media posts of the related effect of earthquakes to derive seismic shake scale distributions in regions of Taiwan and compared it with the regional seismic scale reported by the Central Weather Bureau (CWB) of Taiwan. This study conducted a context searching to scrawl the relationship phrase on the social media network platform, PTT bulletin board system (BBS), to detect the earthquake shake scale using the keywords of the context. In this investigation a decision tree model for analyzing the semantic words from the context of the target event to detect the earthquake shake scale was devised. The results indicate that we can pick out the keywords to use to detect the earthquake shake scale at about 85%. Furthermore, the results of the derived shake scale show that the four studied cases are in a good agreement with the presented news from the CWB of Taiwan. In this study, the author attempted to develop a quick earthquake shake scale detection model by semantic analysis of the collected earthquake disaster information reported on the social media network platform.

scholarly journals A Survey of Data Mining Techniques on Information Networks

2018 ◽  
Vol 7 (2.6) ◽  
pp. 293
Author(s):  
Sadhana Kodali ◽  
Madhavi Dabbiru ◽  
B Thirumala Rao
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Information Networks ◽  
Information Network ◽  
Heterogeneous Information ◽  
Data Mining Techniques ◽  
Heterogeneous Information Networks ◽  
Web Objects ◽  
The Social ◽  
Social Media Network

An Information Network is the network formed by the interconnectivity of the objects formed due to the interaction between them. In our day-to-day life we can find these information networks like the social media network, the network formed by the interaction of web objects etc. This paper presents a survey of various Data Mining techniques that can be applicable to information networks. The Data Mining techniques of both homogeneous and heterogeneous information networks are discussed in detail and a comparative study on each problem category is showcased.

scholarly journals Social Media Network Attacks and their Preventive Mechanisms: A Review

2021 ◽  
Author(s):  
Emmanuel Etuh ◽  
Francis S. Bakpo ◽  
Eneh A.H
Keyword(s):  
Social Media ◽  
Cyber Attacks ◽  
Common Interest ◽  
Security Measures ◽  
Detection Mechanism ◽  
Social Media Networks ◽  
The Social ◽  
Social Media Platforms ◽  
Use Of Social Media ◽  
Social Media Network

We live in a virtual world where actual lifestyles are replicated. The growing reliance on the use of social media networks worldwide has resulted in great concern for information security. One of the factors popularizing the social media platforms is how they connect people worldwide to interact, share content, and engage in mutual interactions of common interest that cut across geographical boundaries. Behind all these incredible gains are digital crime equivalence that threatens the physical socialization. Criminal minded elements and hackers are exploiting social media platforms (SMP) for many nefarious activities to harm others. As detection tools are developed to control these crimes so also hackers’ tactics and techniques are constantly evolving. Hackers are constantly developing new attacking tools and hacking strategies to gain malicious access to systems and attack social media network thereby making it difficult for security administrators and organizations to develop and implement the proper policies and procedures necessary to prevent the hackers’ attacks. The increase in cyber-attacks on the social media platforms calls for urgent and more intelligent security measures to enhance the effectiveness of social media platforms. This paper explores the mode and tactics of hackers’ mode of attacks on social media and ways of preventing their activities against users to ensure secure social cyberspace and enhance virtual socialization. Social media platforms are briefly categorized, the various types of attacks are also highlighted with current state-of-the-art preventive mechanisms to overcome the attacks as proposed in research works, finally, social media intrusion detection mechanism is suggested as a second line of defense to combat cybercrime on social media networks.

scholarly journals "SCREAM" THE SOCIAL MEDIA NETWORK

2021 ◽  
Vol 5 (10) ◽  
Author(s):  
Manav Vasisth ◽  
Aaditya Vijay Srivastava ◽  
Udit Garg
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Health Issues ◽  
Mental Health Issues ◽  
The Social ◽  
Social Media Network

The framework proposed in this paper is a serious answer for the social media as now days all fake and promote all the negativity. Our site is based on the, to help people who are suffering from the mental health issues so in our platform the user can tell their views to the and their issues by they are suffering. This is for stopping the negativity which are now days more growing in todays world.

Networks in Rare Diseases

2020 ◽  
pp. 225-249
Author(s):  
Maria Angelica de Faria Domingues de Lima ◽  
Ana Cristina B. Gilbert ◽  
Dafne D. G. Horovitz
Keyword(s):  
Social Media ◽  
Social Movement ◽  
Rare Diseases ◽  
National Policy ◽  
Disease Patient ◽  
Patient Organizations ◽  
The Social ◽  
Low Prevalence ◽  
Social Media Network ◽  
The Way

Rare diseases are characterized by their low prevalence in a population, and since 1980 a social movement has gathered around this cause in many countries. In Brazil, the category of rare diseases emerged in 2000, culminating with the enactment of a National Policy geared at rare diseases. Rare disease patient organizations are the main actors of this social movement and since this is very recent in Brazil, this research was conducted to explore the topic. Using netnography as method, a content analysis of the Social Media Network Facebook was performed, aiming at understanding the way social movements have assembled around rare diseases and its role in portraying this type of diseases in Brazil. This chapter offers important insights into the way patient organizations are using social media to convey ideas and discourses, and to foster lay expertise on rare diseases.

Historic Twitter Mining: A Case Study Aiming to Identify and Capture the Social Media Network Activities of People who Died by Suicide

2021 ◽  
Author(s):  
Richard O. Sinnott ◽  
Phillip Law ◽  
Jane Pirkis ◽  
Lay San Too ◽  
Sadia Waleem ◽  
...  
Keyword(s):  
Social Media ◽  
The Social ◽  
Twitter Mining ◽  
Social Media Network

scholarly journals Exploring the Structure of Social Media Network with the Concepts of Graph Theory

2020 ◽  
Vol 9 (4) ◽  
pp. 1136-1141
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Social Networking Sites ◽  
Domination Number ◽  
Common Interest ◽  
Young Generation ◽  
Social Graph ◽  
The Social ◽  
The Many ◽  
Social Media Network

Millions of people use online social networking sites such as Facebook, Twitter, WhatsApp, Instagram etc. Nowadays, social media is very popular among all of us especially young generation and has become a vital part of our life. Just like a graph is made up of vertices and edges , a social media network is made up of persons or communities where each person or community represents the vertex of the social graph and the adjacency of the vertices ( edges ) is determined via friendship, common interest, common liking etc. In this paper we try to show the use of some graphical parameter in social graph so that the many properties of social media network can be reflected through graph. We have also shown how domination number plays an important role in social graph.

scholarly journals Online Purchase Intention: Explorations of the Facebook Users’ Psychological Factors

2020 ◽  
Vol 4 (2) ◽  
pp. 20
Author(s):  
Dilla Kartini Naradin ◽  
Hanitahaiza Hairuddin ◽  
Ariff Md Ab Malik ◽  
Erne Suzila Kassim
Keyword(s):  
Social Media ◽  
Psychological Factors ◽  
Purchase Intention ◽  
Privacy And Security ◽  
Media Usage ◽  
Online Purchase ◽  
Significant Relationships ◽  
The Social ◽  
The Relationship ◽  
Social Media Network

The social media usage in this era is not only for communication with others, but also as a platform for many businesses to promote and sell their product online. Facebook is one of the biggest social media network among marketers due to the innovativeness and effectiveness after the existence of e-commerce. Therefore, this study aims to examine the relationship between the psychological factors of Facebook; trust, privacy and security and online purchase intention. 396 Malaysian Facebook users were involved in this study by using purposive and convenience sampling method. The findings show that Trust, Privacy and Security have positive significant relationships with the Online Purchase Intention while the Security has the strongest significant impact on Online Purchase Intention. This study provides an understanding of how to develop strategies to engage with Facebook users. By engaging in the sharing of information with consumers the marketing approach can be implemented effectively.

A New Architecture of Mobile Payment System through Social Media Network

2014 ◽  
Vol 12 (3) ◽  
pp. 60-74
Author(s):  
Basudeo Singh ◽  
Jasmine K.S.
Keyword(s):  
Social Media ◽  
Financial Services ◽  
Feedback Loop ◽  
Payment System ◽  
The Internet ◽  
Technological Innovations ◽  
Professional Networking ◽  
New Organizational Forms ◽  
The Social ◽  
Social Media Network

The financial services industry is changing rapidly as a result of advances in information technology, telecommunications and the Internet. Technological innovations and increasing customer demand have led to the emergence of new services and new organizational forms for financial services firms. The gait of innovation in the Social media, the payment system is staggering. The biggest social media sites are Facebook, massive and used by almost everyone, Twitter, the micro-blogging, and LinkedIn, the online professional networking site. By using the social media connections as a method to exchange the funds, we can integrate our use of mobile wallets, PayPal, etc. to our social media sites. Believing on daily deal platforms, none of the current daily deal platforms can compete with the granularity and relevance with which banks could target a deal to a specific subscriber, having access to their extensive spending history and preferences. A feedback loop extending from the Bank to the merchants enabling the creation of accurate list of customers who consistently spend in specific retail categories can help merchants in delivering targeted offers to attract new customers.

Renouvellement des formes langagières dans la communication sociale sur Twitter

2021 ◽  
Vol 9788879169776 ◽  
pp. 107-128
Author(s):  
Grégoire Lacaze
Keyword(s):  
Social Media ◽  
News Media ◽  
Political Leaders ◽  
Open Spaces ◽  
Digital Platforms ◽  
Social Media Networks ◽  
The Social ◽  
Geographical Distances ◽  
Twitter Users ◽  
Social Media Network

With the increasing development of social communication on social media networks, new linguistic forms have emerged thanks to the technological devices offered by digital platforms, which can be regarded as open spaces characterised by hypertextuality and polysemioticity. This research aims to analyse the typical features of the social media Twitter which is largely used by news media professionals and by political leaders for their official communication. As a sociotechnical digital communication platform, Twitter proves to be the most appropriate broadcast medium for live news since it tends to reduce social and geographical distances between Twitter users who can interact with each other by sending informal messages. Eventually, Twitter can often be viewed as the first social media network allowing transmedial quotations that circulate on other social networks.

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