A comprehensive study of online event tracking algorithms in social networks

2018 ◽  
Vol 45 (2) ◽  
pp. 156-168 ◽  
Author(s):  
Mahsa Seifikar ◽  
Saeed Farzi
Keyword(s):  
Social Networks ◽  
Real World ◽  
Continuous Time ◽  
Trend Detection ◽  
Information Need ◽  
Open Problems ◽  
Advantages And Disadvantages ◽  
Event Tracking ◽  
Social Media Platforms ◽  
Comprehensive Study

Recently, social networks have provided an important platform to detect trends of real-world events. The trends of real-world events are detected by analysing flow of massive bulks of data in continuous time steps over various social media platforms. Today, many researchers have been interested in detecting social network trends, in order to analyse the gathered information for enabling users and organisations to satisfy their information need. This article is aimed at complete surveying the recent text-based trend detection approaches, which have been studied from three perspectives (algorithms, dimension and diversity of events). The advantages and disadvantages of the considered approaches have also been paraphrased separately to illustrate a comprehensive view of the previous works and open problems.

scholarly journals USING SOCIAL MEDIA PLATFORMS TO CREATE AND DEVELOP BUSINESS PROJECTS

2020 ◽  
pp. 130-139
Author(s):  
S. Pokhylko ◽  
A. Eremenko
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Advantages And Disadvantages ◽  
Online Purchases ◽  
Doing Business ◽  
Start Up ◽  
Social Media Platforms ◽  
Marketing Activities ◽  
The Relationship ◽  
A Company

The article is devoted to the research into social networks usage for doing business. Due to the fact that the life of modern people is filled to the brim with social media and almost everyone owns a social media profile, a large number of entrepreneurs responded immediately by creating business accounts in the places with the capacity potential audience. The amount of social networkers is growing and, as a result, the volume of online purchases will also grow accordingly. The article discusses in detail many popular social media, the potentialities of working there. It is specific about the relationship between a client and a company selling goods/services. The research analyzes the adoption of social networks in marketing activities and suggests the algorithm for a such purpose. The advantages and disadvantages of a company's presence in social networks are compared in the papers. Preliminary results suggest that there is positive effect on business evolution using social networking. Moreover, the upper hand of developing and doing business in the nets are considered to be the growth in sales of goods/services and a significant increase in traffic, in addition customers can easily recognize a brand through a logo, advertising, video. The seller has the opportunity to work from any area in the world without a definite reference to a place. Start-up costs for business projects in networks are minimal compared to other types of business projects. The excellent chance to promote work partnership through networks, the possibility of saving on advertising and attracting a broad clientele is traced in the papers. There has been a steep rise in customers' trust due to pages open access in social networks. In the conducted research the main stages of carrying on a business in social media were defined. It is suggested that an effective marketing strategy while promoting goods/services in networks will provide considerable benefits to a trade project. A rapid acceleration in business income from social media has a massive impact on the domestic economic growth and contributes to its advancement in general.

Systems theories

2018 ◽  
Author(s):  
Marc J. Stern
Keyword(s):  
Social Networks ◽  
Problem Solving ◽  
Natural Resources ◽  
Real World ◽  
Common Pool Resources ◽  
Ecological Systems ◽  
Effective Governance ◽  
Social Ecological Systems ◽  
Social Ecological ◽  
Real World Problem

This chapter covers systems theories relevant to understanding and working to enhance the resilience of social-ecological systems. Social-ecological systems contain natural resources, users of those resources, and the interactions between each. The theories in the chapter share lessons about how to build effective governance structures for common pool resources, how to facilitate the spread of worthwhile ideas across social networks, and how to promote collaboration for greater collective impacts than any one organization alone could achieve. Each theory is summarized succinctly and followed by guidance on how to apply it to real world problem solving.

Recent Advances in Reinforcement Learning for Traffic Signal Control

2021 ◽  
Vol 22 (2) ◽  
pp. 12-18 ◽  
Author(s):  
Hua Wei ◽  
Guanjie Zheng ◽  
Vikash Gayah ◽  
Zhenhui Li
Keyword(s):  
Reinforcement Learning ◽  
Real World ◽  
Intelligent Transportation Systems ◽  
Transportation Systems ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Control Methods ◽  
Advantages And Disadvantages ◽  
Recent Advances

Traffic signal control is an important and challenging real-world problem that has recently received a large amount of interest from both transportation and computer science communities. In this survey, we focus on investigating the recent advances in using reinforcement learning (RL) techniques to solve the traffic signal control problem. We classify the known approaches based on the RL techniques they use and provide a review of existing models with analysis on their advantages and disadvantages. Moreover, we give an overview of the simulation environments and experimental settings that have been developed to evaluate the traffic signal control methods. Finally, we explore future directions in the area of RLbased traffic signal control methods. We hope this survey could provide insights to researchers dealing with real-world applications in intelligent transportation systems

Fuzzy based feature engineering architecture for sentiment analysis of medical discussion over online social networks

2021 ◽  
pp. 1-13
Author(s):  
C S Pavan Kumar ◽  
L D Dhinesh Babu
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Social Media ◽  
Sentiment Analysis ◽  
Membership Function ◽  
Online Social Networks ◽  
Learning Model ◽  
Feature Engineering ◽  
Machine Learning Model ◽  
Social Media Platforms

Sentiment analysis is widely used to retrieve the hidden sentiments in medical discussions over Online Social Networking platforms such as Twitter, Facebook, Instagram. People often tend to convey their feelings concerning their medical problems over social media platforms. Practitioners and health care workers have started to observe these discussions to assess the impact of health-related issues among the people. This helps in providing better care to improve the quality of life. Dementia is a serious disease in western countries like the United States of America and the United Kingdom, and the respective governments are providing facilities to the affected people. There is much chatter over social media platforms concerning the patients’ care, healthy measures to be followed to avoid disease, check early indications. These chatters have to be carefully monitored to help the officials take necessary precautions for the betterment of the affected. A novel Feature engineering architecture that involves feature-split for sentiment analysis of medical chatter over online social networks with the pipeline is proposed that can be used on any Machine Learning model. The proposed model used the fuzzy membership function in refining the outputs. The machine learning model has obtained sentiment score is subjected to fuzzification and defuzzification by using the trapezoid membership function and center of sums method, respectively. Three datasets are considered for comparison of the proposed and the regular model. The proposed approach delivered better results than the normal approach and is proved to be an effective approach for sentiment analysis of medical discussions over online social networks.

scholarly journals Exploiting Proximity-Based Mobile Apps for Large-Scale Location Privacy Probing

2018 ◽  
Vol 2018 ◽  
pp. 1-22 ◽  
Author(s):  
Shuang Zhao ◽  
Xiapu Luo ◽  
Xiaobo Ma ◽  
Bo Bai ◽  
Yankang Zhao ◽  
...  
Keyword(s):  
Social Networks ◽  
Case Studies ◽  
Real World ◽  
Emission Reduction ◽  
Large Scale ◽  
Location Privacy ◽  
Mobile Apps ◽  
Physical World ◽  
Typical Type ◽  
Location Spoofing

Proximity-based apps have been changing the way people interact with each other in the physical world. To help people extend their social networks, proximity-based nearby-stranger (NS) apps that encourage people to make friends with nearby strangers have gained popularity recently. As another typical type of proximity-based apps, some ridesharing (RS) apps allowing drivers to search nearby passengers and get their ridesharing requests also become popular due to their contribution to economy and emission reduction. In this paper, we concentrate on the location privacy of proximity-based mobile apps. By analyzing the communication mechanism, we find that many apps of this type are vulnerable to large-scale location spoofing attack (LLSA). We accordingly propose three approaches to performing LLSA. To evaluate the threat of LLSA posed to proximity-based mobile apps, we perform real-world case studies against an NS app named Weibo and an RS app called Didi. The results show that our approaches can effectively and automatically collect a huge volume of users’ locations or travel records, thereby demonstrating the severity of LLSA. We apply the LLSA approaches against nine popular proximity-based apps with millions of installations to evaluate the defense strength. We finally suggest possible countermeasures for the proposed attacks.

Material Properties and Design Aspects of Folding Bicycle Frame

2011 ◽  
Vol 264-265 ◽  
pp. 777-782 ◽  
Author(s):  
M.A. Maleque ◽  
M.S. Hossain ◽  
S. Dyuti
Keyword(s):  
Material Properties ◽  
Raw Material ◽  
New Materials ◽  
Materials Properties ◽  
Advantages And Disadvantages ◽  
Bicycle Frame ◽  
Successful Design ◽  
Future Direction ◽  
The Relationship ◽  
Comprehensive Study

successful design of folding bicycle should take into account the function, material properties, and fabrication process. There are some other factors that should be considered in anticipating the behavior of materials for folding bicycle. In order to understand the relationship between material properties and design of a folding bicycle and also for the future direction in new materials with new design, a comprehensive study on the design under different conditions are essential. Therefore, a systematic study on the relationship between material properties and design for folding bicycle has been performed. The advantages and disadvantages matrix between conventional bicycle and folding bicycle is presented for better understanding of the materials properties and design. It was found that the materials properties of the folding bicycle frame such as fatigue and tensile strength are the important properties for the better performance of the frame. The relationship between materials properties and design is not straight forward because the behavior of the material in the finished product could be different from that of the raw material. The swing hinge technique could be a better technique in the design for the folding bicycle frame.

Direction-Aware User Recommendation Based on Asymmetric Network Embedding

2022 ◽  
Vol 40 (2) ◽  
pp. 1-23
Author(s):  
Sheng Zhou ◽  
Xin Wang ◽  
Martin Ester ◽  
Bolang Li ◽  
Chen Ye ◽  
...  
Keyword(s):  
Social Networks ◽  
Random Walk ◽  
Real World ◽  
Directed Network ◽  
Network Embedding ◽  
The Social ◽  
Benchmark Datasets ◽  
Direction Information ◽  
User Recommendation ◽  
Asymmetric Proximity

User recommendation aims at recommending users with potential interests in the social network. Previous works have mainly focused on the undirected social networks with symmetric relationship such as friendship, whereas recent advances have been made on the asymmetric relationship such as the following and followed by relationship. Among the few existing direction-aware user recommendation methods, the random walk strategy has been widely adopted to extract the asymmetric proximity between users. However, according to our analysis on real-world directed social networks, we argue that the asymmetric proximity captured by existing random walk based methods are insufficient due to the inbalance in-degree and out-degree of nodes. To tackle this challenge, we propose InfoWalk, a novel informative walk strategy to efficiently capture the asymmetric proximity solely based on random walks. By transferring the direction information into the weights of each step, InfoWalk is able to overcome the limitation of edges while simultaneously maintain both the direction and proximity. Based on the asymmetric proximity captured by InfoWalk, we further propose the qualitative (DNE-L) and quantitative (DNE-T) directed network embedding methods, capable of preserving the two properties in the embedding space. Extensive experiments conducted on six real-world benchmark datasets demonstrate the superiority of the proposed DNE model over several state-of-the-art approaches in various tasks.

State-of-art of silver and gold nanoparticles synthesis routes, characterization and applications: a review

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Faisal Ali ◽  
Muhammad Hamza ◽  
Munawar Iqbal ◽  
Beriham Basha ◽  
Norah Alwadai ◽  
...  
Keyword(s):  
Electron Microscope ◽  
X Rays ◽  
Ag Nps ◽  
Au Nps ◽  
Advantages And Disadvantages ◽  
Transmission Electron ◽  
Synthesis Properties ◽  
Synthesis Routes ◽  
Synthesis Approach ◽  
Comprehensive Study

Abstract To date, the noble metal-based nanoparticles have been used in every field of life. The Au and Ag nanoparticles (NPs) have been fabricated employing different techniques to tune the properties. In this study, the methodologies developed and adopted for the fabrication of Au and Ag have been discussed, which include physical, chemical and biological routes. The Au and Ag characteristics (morphology, size, shape) along with advantages and disadvantages are discussed. The Au and Ag NPs catalytic and biomedical applications are discussed. For the Ag and Au NPs characterization, SEM (scanning electron microscope), TEM (transmission electron microscope), FTIR (Fourier transform infra-red spectroscopy), XRD (X-rays diffraction) and DLS (dynamic light scattering) techniques are employed. The properties of Au and Ag NPs found dependent to synthesis approach, i.e., the size, shape and morphologies, which showed a promising Catalytic, drug delivery and antimicrobial agent applications. The review is a comprehensive study for the comparison of Au and Ag NPs synthesis, properties and applications in different fields.

scholarly journals Recent Advances in Tunable and Reconfigurable Metamaterials

Micromachines ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 560 ◽  
Author(s):  
Sanghun Bang ◽  
Jeonghyun Kim ◽  
Gwanho Yoon ◽  
Takuo Tanaka ◽  
Junsuk Rho
Keyword(s):  
Electromagnetic Fields ◽  
Real World ◽  
Mechanical Deformation ◽  
Artificial Atoms ◽  
Natural Materials ◽  
Temperature Changes ◽  
Advantages And Disadvantages ◽  
Real World Applications ◽  
Illuminating Light ◽  
Tunable Metamaterial

Metamaterials are composed of nanostructures, called artificial atoms, which can give metamaterials extraordinary properties that cannot be found in natural materials. The nanostructures themselves and their arrangements determine the metamaterials’ properties. However, a conventional metamaterial has fixed properties in general, which limit their use. Thus, real-world applications of metamaterials require the development of tunability. This paper reviews studies that realized tunable and reconfigurable metamaterials that are categorized by the mechanisms that cause the change: inducing temperature changes, illuminating light, inducing mechanical deformation, and applying electromagnetic fields. We then provide the advantages and disadvantages of each mechanism and explain the results or effects of tuning. We also introduce studies that overcome the disadvantages or strengthen the advantages of each classified tunable metamaterial.

scholarly journals The position of the Internet and cyberspace in social communications: an approach to the role of virtual social networks

2020 ◽  
Vol 20 (2) ◽  
pp. 82-94
Author(s):  
Reza Abedi ◽  
Fatemeh Daneshvar Muhammadzadegan ◽  
Roqayyeh Sadat Hosseini Kerman ◽  
Fatemeh Miri Kolah Kaj
Keyword(s):  
Social Networks ◽  
Virtual Space ◽  
The Internet ◽  
Good Opportunity ◽  
Advantages And Disadvantages ◽  
Social Communications ◽  
The Social ◽  
Online Spaces ◽  
Proper Training

With an ever-increasing development of internet communications, human reactions have interred a new phase. The results of these communications are a most significant matter considered by the sociologists. Using the internet is developing and forms a significant part of individuals` lives. The advantages and disadvantages of this easiness in communicating and traveling through boundaries should be considered. Breaking the norms happened in the light of these reactions should be discussed, also increasing in awareness and availability to information, joining to global information networks and communication is another face of this placeless and timelessness. This contrasting face challenges the position of cyber space in the social communications, a challenge of which there is no escape by the society. In this research it is an attempt to criticize this challenge through criticizing the position of internet and to consider the role of social networks. We suppose that it is not possible to neglect the advantages of virtual space in developing a new level of human occasions but via this method lack of proper awareness in principle using of it results in some problems which should be covered by a proper training and comprehensive informing. Online spaces penetrate in human`s life in an extended way and it is a good opportunity to have good use from social networks as the basic condition. The results of this presence form reaction in individuals which will be considered in the present study.

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