Maximizing positive influence spread in online social networks via fluid dynamics

2018 ◽  
Vol 86 ◽  
pp. 1491-1502 ◽  
Author(s):  
Feng Wang ◽  
Wenjun Jiang ◽  
Xiaolin Li ◽  
Guojun Wang
Keyword(s):  
Fluid Dynamics ◽  
Social Networks ◽  
Online Social Networks ◽  
Positive Influence ◽  
Influence Spread

The Influence of (Online) Social Networks on Workers' Attitudes and Behaviours in Higher Education Institutions

2017 ◽  
pp. 644-666
Author(s):  
Vera Silva Carlos ◽  
Ricardo Gouveia Rodrigues
Keyword(s):  
Higher Education ◽  
Social Networks ◽  
Web 2.0 ◽  
Online Social Networks ◽  
Higher Education Institutions ◽  
Positive Influence ◽  
Faculty Members ◽  
Future Research ◽  
Work Related ◽  
Considerable Impact

According to the literature, social relationships have a positive influence on work-related attitudes and behaviours. Taking into account that Online Social Networks (OSNs), brought about by Web 2.0, have become an international phenomena and have a considerable impact on the way people communicate and interact with each other, the chapter's purpose is to evaluate the effect that the use of OSNs has on the worker's attitudes and behaviours. In this way, the authors use a questionnaire to evaluate the attitudes of 157 faculty members in Higher Education Institutions (HEI). To assess the use of OSNs by faculty members, they use a binary variable. After analysing and discussing the results, the authors conclude that the use of OSNs influences the workers' performance traits. The relations they propose in what concerns the workers' attitudes are all empirically proven. At last, the authors describe the study limitations and suggest some perspectives for future research.

Parallel Greedy Algorithm to Multiple Influence Maximization in Social Network

2021 ◽  
Vol 15 (3) ◽  
pp. 1-21
Author(s):  
Guanhao Wu ◽  
Xiaofeng Gao ◽  
Ge Yan ◽  
Guihai Chen
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Parallel Algorithms ◽  
Real World ◽  
Online Social Networks ◽  
Heuristic Algorithms ◽  
Influence Maximization ◽  
Memory Overhead ◽  
Influence Spread ◽  
Real World Applications

Influence Maximization (IM) problem is to select influential users to maximize the influence spread, which plays an important role in many real-world applications such as product recommendation, epidemic control, and network monitoring. Nowadays multiple kinds of information can propagate in online social networks simultaneously, but current literature seldom discuss about this phenomenon. Accordingly, in this article, we propose Multiple Influence Maximization (MIM) problem where multiple information can propagate in a single network with different propagation probabilities. The goal of MIM problems is to maximize the overall accumulative influence spreads of different information with the limit of seed budget . To solve MIM problems, we first propose a greedy framework to solve MIM problems which maintains an -approximate ratio. We further propose parallel algorithms based on semaphores, an inter-thread communication mechanism, which significantly improves our algorithms efficiency. Then we conduct experiments for our framework using complex social network datasets with 12k, 154k, 317k, and 1.1m nodes, and the experimental results show that our greedy framework outperforms other heuristic algorithms greatly for large influence spread and parallelization of algorithms reduces running time observably with acceptable memory overhead.

The Use of Online Social Networks and Its Influence on Job-Related Behavior

2019 ◽  
pp. 106-129
Author(s):  
Vera Silva Carlos ◽  
Ricardo Gouveia Rodrigues
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Online Survey ◽  
Positive Influence ◽  
Future Research ◽  
Work Related ◽  
Attitudes And Behaviors ◽  
Empirically Supported ◽  
And Behaviors ◽  
And Behavior

Web 2.0 technologies have progressively transformed social interactions among people. In addition, there is plenty of evidence of a positive influence of social relationships on work-related attitudes and behaviors. Within these frameworks, the purpose is to evaluate the effect of using online social networks on the workers' attitudes and behaviors, particularly in the context of higher education. The authors used an online survey to evaluate the attitudes and behavior of 157 faculty members. To assess the use of OSNs, they used a dichotomous variable. The t-student test and the PLS method were used to analyze the data. They conclude that the use of OSNs influences the workers' performance, but not job satisfaction, organizational commitment, or organizational citizenship behaviors (extra-role performance). The relationships they propose in what concerns the workers' attitudes are all empirically supported. Lastly, they describe the study limitations and we suggest some perspectives for future research.

The Use of Online Social Networks in Higher Education and Its Influence on Job Performance

2016 ◽  
pp. 330-353
Author(s):  
Vera Silva Carlos ◽  
Ricardo Gouveia Rodrigues
Keyword(s):  
Higher Education ◽  
Social Networks ◽  
Online Social Networks ◽  
Positive Influence ◽  
Future Research ◽  
Work Related ◽  
Attitudes And Behaviors ◽  
Dichotomous Variable ◽  
Considerable Impact ◽  
And Behaviors

There is plenty of evidence on a positive influence of social relationships on work-related attitudes and behaviors. Besides, online social networks (OSNs), made possible by Web 2.0, have become a global phenomenon and have a considerable impact on the way people communicate and interact with each other. Our purpose is to evaluate the effect of using OSNs on the worker's attitudes and behaviors, particularly in the context of Higher Education. In this sense, we used a questionnaire, to evaluate the attitudes of 157 faculty members. To assess the use of OSNs, we resorted to a dichotomous variable. After analyzing and discussing the results we conclude that the use of OSNs influences the worker's performance, but not Job satisfaction, Organizational commitment or extra-role performance. The relationships we propose in what concerns the worker's attitudes are all empirically proved. Lastly, we describe the study limitations and we suggest some perspectives for future research.

The Influence of (Online) Social Networks on Workers’ Attitudes and Behaviours in Higher Education Institutions

2014 ◽  
pp. 259-279
Author(s):  
Vera Silva Carlos ◽  
Ricardo Gouveia Rodrigues
Keyword(s):  
Higher Education ◽  
Social Networks ◽  
Web 2.0 ◽  
Online Social Networks ◽  
Higher Education Institutions ◽  
Positive Influence ◽  
Faculty Members ◽  
Future Research ◽  
Work Related ◽  
Considerable Impact

According to the literature, social relationships have a positive influence on work-related attitudes and behaviours. Taking into account that Online Social Networks (OSNs), brought about by Web 2.0, have become an international phenomena and have a considerable impact on the way people communicate and interact with each other, the chapter’s purpose is to evaluate the effect that the use of OSNs has on the worker’s attitudes and behaviours. In this way, the authors use a questionnaire to evaluate the attitudes of 157 faculty members in Higher Education Institutions (HEI). To assess the use of OSNs by faculty members, they use a binary variable. After analysing and discussing the results, the authors conclude that the use of OSNs influences the workers’ performance traits. The relations they propose in what concerns the workers’ attitudes are all empirically proven. At last, the authors describe the study limitations and suggest some perspectives for future research.

The Use of Online Social Networks in Higher Education and Its Influence on Job Performance

2017 ◽  
pp. 576-601
Author(s):  
Vera Silva Carlos ◽  
Ricardo Gouveia Rodrigues
Keyword(s):  
Higher Education ◽  
Social Networks ◽  
Online Social Networks ◽  
Positive Influence ◽  
Future Research ◽  
Work Related ◽  
Attitudes And Behaviors ◽  
Dichotomous Variable ◽  
Considerable Impact ◽  
And Behaviors

There is plenty of evidence on a positive influence of social relationships on work-related attitudes and behaviors. Besides, online social networks (OSNs), made possible by Web 2.0, have become a global phenomenon and have a considerable impact on the way people communicate and interact with each other. Our purpose is to evaluate the effect of using OSNs on the worker's attitudes and behaviors, particularly in the context of Higher Education. In this sense, we used a questionnaire, to evaluate the attitudes of 157 faculty members. To assess the use of OSNs, we resorted to a dichotomous variable. After analyzing and discussing the results we conclude that the use of OSNs influences the worker's performance, but not Job satisfaction, Organizational commitment or extra-role performance. The relationships we propose in what concerns the worker's attitudes are all empirically proved. Lastly, we describe the study limitations and we suggest some perspectives for future research.

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