scholarly journals Task Allocation Model Based on Worker Friend Relationship for Mobile Crowdsourcing

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 921 ◽  
Author(s):  
Bingxu Zhao ◽  
Yingjie Wang ◽  
Yingshu Li ◽  
Yang Gao ◽  
Xiangrong Tong
Keyword(s):  
Social Networks ◽  
Task Allocation ◽  
Location Privacy ◽  
Rapid Development ◽  
Human Beings ◽  
Allocation Mechanism ◽  
Allocation Model ◽  
Mobile Crowdsourcing ◽  
System A ◽  
The Relationship

With the rapid development of mobile devices, mobile crowdsourcing has become an important research focus. According to the task allocation, scholars have proposed many methods. However, few works discuss combining social networks and mobile crowdsourcing. To maximize the utilities of mobile crowdsourcing system, this paper proposes a task allocation model considering the attributes of social networks for mobile crowdsourcing system. Starting from the homogeneity of human beings, the relationship between friends in social networks is applied to mobile crowdsourcing system. A task allocation algorithm based on the friend relationships is proposed. The GeoHash coding mechanism is adopted in the process of calculating the strength of worker relationship, which effectively protects the location privacy of workers. Utilizing synthetic dataset and the real-world Yelp dataset, the performance of the proposed task allocation model was evaluated. Through comparison experiments, the effectiveness and applicability of the proposed allocation mechanism were verified.

A multi-sided market of personal data resource allocation: An empirical study of China’s car-hailing platform

2021 ◽  
pp. 178359172110512
Author(s):  
Lei Huang ◽  
Miltos Ladikas ◽  
Guangxi He ◽  
Julia Hahn ◽  
Jens Schippl
Keyword(s):  
Resource Allocation ◽  
Market Structure ◽  
Market Competition ◽  
Rapid Development ◽  
Personal Data ◽  
Application Programming Interface ◽  
Allocation Mechanism ◽  
Allocation Model ◽  
Data Resource ◽  
Technology And Economy

The current rapid development of online car-hailing services creates a serious challenge to the existing paradigm of market governance and antitrust policy. However, the debate on the market structure of the car-hailing platform requires more empirical evidence to uncover its functions. This research adopts an interdisciplinary methodology based on computer science and economics, and including software reverse engineering tools applied to the interoperability of the terminal application and resource allocation model, to demonstrate the topological market structure of personal data resources allocation in China’s car-hailing industry. Within the discussion of the hybrid nature of technology and economy, the analysis results clearly show that China’s car-hailing platform services present a multi-sided market structure when seen from the perspective of personal data resource allocation. Personal data resource (PDR), that is considered an essential market resource, is applied as an asset transferred unhindered between platforms via the application programming interface, and thus, creating a new market allocation mechanism. The connection between the car-hailing platforms and social media platforms is an essential aspect of the market competition in the domain. As applications of online platforms increase in the global context, this research offers a new perspective in personal data resource allocation with implications for the governance of the platform economy.

scholarly journals A Novel Method to Rank Influential Nodes in Complex Networks Based on Tsallis Entropy

Entropy ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. 848 ◽  
Author(s):  
Xuegong Chen ◽  
Jie Zhou ◽  
Zhifang Liao ◽  
Shengzong Liu ◽  
Yan Zhang
Keyword(s):  
Social Networks ◽  
Rapid Development ◽  
Entropy Method ◽  
Tsallis Entropy ◽  
Network Nodes ◽  
Related Research ◽  
Novel Method ◽  
Influential Nodes ◽  
Rumor Control ◽  
The Relationship

With the rapid development of social networks, it has become extremely important to evaluate the propagation capabilities of the nodes in a network. Related research has wide applications, such as in network monitoring and rumor control. However, the current research on the propagation ability of network nodes is mostly based on the analysis of the degree of nodes. The method is simple, but the effectiveness needs to be improved. Based on this problem, this paper proposes a method that is based on Tsallis entropy to detect the propagation ability of network nodes. This method comprehensively considers the relationship between a node’s Tsallis entropy and its neighbors, employs the Tsallis entropy method to construct the TsallisRank algorithm, and uses the SIR (Susceptible, Infectious, Recovered) model for verifying the correctness of the algorithm. The experimental results show that, in a real network, this method can effectively and accurately evaluate the propagation ability of network nodes.

scholarly journals Comparative Study of Family Pathology Based On Old-Age Habitants & Family Habitants

2016 ◽  
Vol 3 (4) ◽  
Author(s):  
Himani Bhasin
Keyword(s):  
Old Age ◽  
Social System ◽  
Human Values ◽  
Indian Society ◽  
Human Beings ◽  
Social Unit ◽  
System A ◽  
Emotional Relationships ◽  
The Family ◽  
The Relationship

The family is a primary social unit of every culture. In India, the family rather as an individual has been considered as the unit of social system. A family is a set of human beings related to each other in a non-professional manner, giving rise to a concrete cohesion within the family. Love, care, and affection are the most prominent human values, which are responsible for maintaining these bonds of relationships within a family.  The Indian family reflects the socio-cultural fabric of Indian society, its philosophy and values. (Sethi, 1989) The relationships within a family are complex of varying degrees of intensity and myriad in nature. The emotional tone, which governs the relationship between any two persons, is continuously influenced in its course by emotional relationships of all others in the family.

scholarly journals An Efficient Approach for LBS Privacy Preservation in Mobile Social Networks

2019 ◽  
Vol 9 (2) ◽  
pp. 316 ◽  
Author(s):  
Guangcan Yang ◽  
Shoushan Luo ◽  
Hongliang Zhu ◽  
Yang Xin ◽  
Mingzhen Li ◽  
...  
Keyword(s):  
Social Networks ◽  
Privacy Preservation ◽  
Rapid Development ◽  
Experimental Studies ◽  
Global Perspective ◽  
Handheld Devices ◽  
Mobile Social Networks ◽  
Daily Lives ◽  
Service Category ◽  
The Relationship

With the rapid development of smart handheld devices, wireless communication, and positioning technologies, location-based service (LBS) has been gaining tremendous popularity in mobile social networks (MSN). Users’ daily lives are facilitated by the applications of LBS, but users’ privacy leaking hinders the further development of LBS. In order to solve this problem, techniques such as k-anonymity and l-diversity have been widely adopted. However, most papers that combine with k-anonymity and l-diversity focus on the security of users’ privacy with little consideration of service efficiency. In this paper, we firstly treat the relationship between k-anonymity and l-diversity in the clustering process from a dynamic and global perspective. Then a service category table based algorithm (SCTB) is designed to identify and calculate l-diversity securely and efficiently, which promotes the cooperative efficiency of users in LBS query, especially when the preference privacy that users request in the clustering process have similarities. Finally, theoretical performance analysis and extensive experimental studies are performed to validate the effectiveness of our SCTB algorithm.

scholarly journals Detecting Abnormal Social Network Accounts with Hurst of Interest Distribution

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Xiujuan Wang ◽  
Yi Sui ◽  
Yuanrui Tao ◽  
Qianqian Zhang ◽  
Jianhua Wei
Keyword(s):  
Social Networks ◽  
Latent Dirichlet Allocation ◽  
Rapid Development ◽  
Research Work ◽  
Social Engineering ◽  
User Interest ◽  
Allocation Model ◽  
Latent Dirichlet Allocation Model ◽  
Topic Distribution ◽  
The Stability

With the rapid development of the Internet since the beginning of the 21st century, social networks have provided a significant amount of convenience for work, study, and entertainment. Specifically, because of the irreplaceable superiority of social platforms in disseminating information, criminals have thus updated the main methods of social engineering attacks. Detecting abnormal accounts on social networks in a timely manner can effectively prevent the occurrence of malicious Internet events. Different from previous research work, in this work, a method of anomaly detection called Hurst of Interest Distribution is proposed based on the stability of user interest quantifiable from the content of users’ tweets, so as to detect abnormal accounts. In detail, the Latent Dirichlet Allocation model is adopted to classify blog content on Twitter into topics to calculate and obtain the topic distribution of tweets sent by a single user within a period of time. Then, the stability degree of the user’s tweet topic preference is calculated according to the Hurst index to determine whether the account is compromised. Through experiments, the Hurst indexes of normal and abnormal accounts are found to be significantly different, and the detection rate of abnormal accounts using the proposed method can reach up to 97.93%.

Exploring the Relationship between Oral Health Social Networks, Attitude and Stage of change in Afterschool Staff

2013 ◽  
Author(s):  
Martha Oropeza ◽  
Tom Valente ◽  
Claudio Nigg ◽  
Jimmy Efird ◽  
Mikako Deguchi ◽  
...  
Keyword(s):  
Social Networks ◽  
Oral Health ◽  
Stage Of Change ◽  
The Relationship

Exploring the Relationship Between Oral Health Social Networks, Attitude and Stage of Change in Afterschool Staff

2013 ◽  
Author(s):  
Martha Oropeza ◽  
Thomas W. Valente ◽  
Claudio R. Nigg ◽  
Jimmy Efird ◽  
Mikako Deguchi ◽  
...  
Keyword(s):  
Social Networks ◽  
Oral Health ◽  
Stage Of Change ◽  
The Relationship

An ayurvedic tablet formulation for ulcer protection

2020 ◽  
Vol 10 (4) ◽  
pp. 35-38
Author(s):  
Shiva Kumar K ◽  
Purushothaman M ◽  
Soujanya H ◽  
Jagadeeshwari S
Keyword(s):  
Pharmacological Activity ◽  
The Body ◽  
Gastric Ulcers ◽  
Antiulcer Activity ◽  
Herbal Drugs ◽  
Human Beings ◽  
Synthetic Drugs ◽  
Scientific Investigations ◽  
System A ◽  
The World

Gastric ulcers or the peptic ulcer is the primary disease that affects the gastrointestinal system. A large extent of the population in the world are suffering from the disease, and the age group of people those who suffer from ulcers are 20-55years. Herbs are known to the human beings that are useful in the treatment of diseases, and there are a lot of scientific investigations that prove the pharmacological activity of herbal drugs. Practitioners have been using the herbal material to treat the ulcers successfully, and the same had been reported scientifically. Numerous publications have been made that proves the antiulcer activity of the plants around the world. The tablets were investigated for the antiulcer activity in two doses 200 and 400mg/kg in albino Wistar rats in the artificial ulcer those are induced by the ethanol. The prepared tablets showed a better activity compared to the standard synthetic drug and the marketed ayurvedic formulation. The tablets showed a dose-dependent activity in ulcer prevention and treatment. Many synthetic drugs are available for the ulcer treatment, and the drugs pose the other problems in the body by showing the side effects and some other reactions. This limits the use of synthetic drugs to treat ulcers effectively. Herbs are known to the human beings that are useful in the treatment of diseases, and there are a lot of scientific investigations that prove the pharmacological activity of herbal drugs.

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