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 Temporal Activity Path Based Character Correction in Heterogeneous Social Networks via Multimedia Sources

2018 ◽  
Vol 2018 ◽  
pp. 1-16
Author(s):  
Jun Long ◽  
Lei Zhu ◽  
Zhan Yang ◽  
Chengyuan Zhang ◽  
Xinpan Yuan
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Large Scale ◽  
Multimedia Data ◽  
Attribute Information ◽  
Novel Method ◽  
Relationship Network ◽  
Heterogeneous Social Networks ◽  
The Relationship ◽  
Over Time

Vast amount of multimedia data contains massive and multifarious social information which is used to construct large-scale social networks. In a complex social network, a character should be ideally denoted by one and only one vertex. However, it is pervasive that a character is denoted by two or more vertices with different names; thus it is usually considered as multiple, different characters. This problem causes incorrectness of results in network analysis and mining. The factual challenge is that character uniqueness is hard to correctly confirm due to lots of complicated factors, for example, name changing and anonymization, leading to character duplication. Early, limited research has shown that previous methods depended overly upon supplementary attribute information from databases. In this paper, we propose a novel method to merge the character vertices which refer to the same entity but are denoted with different names. With this method, we firstly build the relationship network among characters based on records of social activities participating, which are extracted from multimedia sources. Then we define temporal activity paths (TAPs) for each character over time. After that, we measure similarity of the TAPs for any two characters. If the similarity is high enough, the two vertices should be considered as the same character. Based on TAPs, we can determine whether to merge the two character vertices. Our experiments showed that this solution can accurately confirm character uniqueness in large-scale social network.

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.

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.

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

PLAYING WITH FIRE COLLECTIVELY: CONTEMPORARY CULTURAL RITES AS DEVISERS AND OUTCOMES OF COMMUNITY NETWORKS

2020 ◽  
Author(s):  
Alba Colombo ◽  
Jaime Altuna ◽  
Esther Oliver-Grasiot
Keyword(s):  
Social Networks ◽  
Social Context ◽  
Power Relations ◽  
Symbolic Capital ◽  
Community Networks ◽  
Mutual Dependence ◽  
Community Solidarity ◽  
Symbolic Content ◽  
The Relationship

Popular festivities and traditional events are important moments in which symbolic content, deep emotions and community solidarity are developed. However, there has been little research on the relationship between such events and their social networks and the power relations within these networks. This paper explores the ability of community events and networks to reflect and strengthen social context. Rather than observing the capacity of the event to generate a network, we focus on identifying how the event network is constructed, and how it creates relationships between the different groups, or nodes, within broader social networks. The case analysed is the Correfoc de la Mercè, a traditional firework event in Barcelona involving the Colles de diables, or Catalan popular fire culture groups. Our findings show that there is a bidirectional link or a mutual dependence between the groups (or nodes) and the event, which also support the development of shared social and symbolic capital.

The Scoping Review of Smart Healthcare Applications in Medical Health (Preprint)

2020 ◽  
Author(s):  
Cheng Hang Wu ◽  
Ching Ju Chiu ◽  
Yen Ju Liou ◽  
Chun Ying Lee ◽  
Susan C. Hu
Keyword(s):  
Systematic Reviews ◽  
Mobile Health ◽  
Scoping Review ◽  
Search Strategy ◽  
Rapid Development ◽  
Related Research ◽  
Geographic Access ◽  
Smart Healthcare ◽  
Research Findings ◽  
Healthcare Interventions

BACKGROUND There is still no consensus on research terms for smart healthcare worldwide. The study conducted by Lewis 10 years ago showed extending geographic access was the major health purpose of health-related information communication technology (ICT), but today's situation may be different because of the rapid development of smart healthcare. Objective: The main aim of this study is to classify recent smart healthcare interventions. Therefore, this scoping review was conducted as a feasible tool for exploring this domain and summarizing related research findings. OBJECTIVE The main aim of this study is to classify recent smart healthcare interventions. Therefore, this scoping review was conducted as a feasible tool for exploring this domain and summarizing related research findings. METHODS The scoping review relies on the analysis of previous reviews of smart healthcare interventions assessed for their effectiveness in the framework of a systematic review and/or meta-analysis. The search strategy was based on the identification of smart healthcare interventions reported as the proposed keywords. In the analysis, the reviews published from January 2015 to December 2019 were included. RESULTS The number of publications for smart healthcare's systematic reviews has continued to grow in the past five years. The search strategy yielded 210 systematic reviews and/or meta-analyses addressed to target groups of interest. 68.5% of these publications used mobile health as a keyword. According to the classification by Lewis, 37.62% of the literature was applied to extend geographic access. According to the classification by the Joint Commission of Taiwan (JCT), 48.84% of smart healthcare was applied in clinical areas, and 60% of it was applied in outpatient medical services. CONCLUSIONS Smart healthcare interventions are being widely used in clinical settings and for disease management. The research of mobile health has received the most attention among smart healthcare interventions. The main purpose of mobile health was used to extend geographic access to increase medical accessibility in clinical areas. CLINICALTRIAL none

scholarly journals Evaluation of China’s Circular Agriculture Performance and Analysis of the Driving Factors

2021 ◽  
Vol 13 (4) ◽  
pp. 1643
Author(s):  
Biao Li ◽  
Yunting Feng ◽  
Xiqiang Xia ◽  
Mengjie Feng
Keyword(s):  
Rapid Development ◽  
Arable Land ◽  
Indicator System ◽  
Resource Scarcity ◽  
Entropy Method ◽  
Agricultural Industry ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Per Capita ◽  
The Government

Along with industry upgrading and urbanization, the agricultural industry in China has been experiencing a stage of rapid development, on the bright side. On the other side, ecological environment deterioration and resource scarcity have become prevalent. Called by the current situation, circular agriculture arises as a direction for the industry to achieve sustainable development. This study develops an evaluation indicator system for circular agriculture using an entropy method, and evaluates factors that could drive the Chinese agricultural industry to achieve better performance. We employ the method using provincial data collected from the province of Henan, in which around 10% of the total grain in China is produced. It was found that agricultural technology and water resources per capita are positively related to circular performance in agriculture. In contrast, urbanization and arable land per capita are negatively related to circular performance. This article provides support to the government in policy-making related to the improvement of circular agricultural performance.

scholarly journals Extracting Influential Nodes for Maximization Influence in Social Networks

2021 ◽  
Vol 1818 (1) ◽  
pp. 012177
Author(s):  
Zainab Naseem Attuah ◽  
Firas Sabar Miften ◽  
Evan Abdulkareem Huzan
Keyword(s):  
Social Networks ◽  
Influential Nodes
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