Collective influence maximization for multiple competing products with an awareness-to-influence model

2021 ◽  
Vol 14 (7) ◽  
pp. 1124-1136
Author(s):  
Dimitris Tsaras ◽  
George Trimponias ◽  
Lefteris Ntaflos ◽  
Dimitris Papadias
Keyword(s):  
Diffusion Processes ◽  
Influence Maximization ◽  
Second Phase ◽  
Social Graph ◽  
Practical Applications ◽  
Influence Model ◽  
Best Response ◽  
The Social ◽  
Game Theoretic ◽  
Collective Influence

Influence maximization (IM) is a fundamental task in social network analysis. Typically, IM aims at selecting a set of seeds for the network that influences the maximum number of individuals. Motivated by practical applications, in this paper we focus on an IM variant, where the owner of multiple competing products wishes to select seeds for each product so that the collective influence across all products is maximized. To capture the competing diffusion processes, we introduce an Awareness-to-Influence (AtI) model. In the first phase, awareness about each product propagates in the social graph unhindered by other competing products. In the second phase, a user adopts the most preferred product among those encountered in the awareness phase. To compute the seed sets, we propose GCW, a game-theoretic framework that views the various products as agents, which compete for influence in the social graph and selfishly select their individual strategy. We show that AtI exhibits monotonicity and submodularity; importantly, GCW is a monotone utility game. This allows us to develop an efficient best-response algorithm, with quality guarantees on the collective utility. Our experimental results suggest that our methods are effective, efficient, and scale well to large social networks.

Social Science Theory for Environmental Sustainability

2018 ◽  
Author(s):  
Marc J. Stern
Keyword(s):  
Social Science ◽  
Environmental Sustainability ◽  
Persuasive Communication ◽  
Practical Applications ◽  
Social Science Theory ◽  
Science Theory ◽  
The Social ◽  
Communication Conflict ◽  
To Come ◽  
Sustainability Challenges

Social science theory for environmental sustainability: A practical guide makes social science theory accessible and usable to anyone interested in working toward environmental sustainability at any scale. Environmental problems are, first and foremost, people problems. Without better understandings of the people involved, solutions are often hard to come by. This book answers calls for demonstrating the value of theories from the social sciences for solving these types of problems and provides strategies to facilitate their use. It contains concise summaries of over thirty social science theories and demonstrates how to use them in diverse contexts associated with environmental conflict, conservation, natural resource management, and other environmental sustainability challenges. The practical applications of the theories include persuasive communication, conflict resolution, collaboration, negotiation, enhancing organizational effectiveness, working across cultures, generating collective impact, and building more resilient governance of social-ecological systems. Examples throughout the book and detailed vignettes illustrate how to combine multiple social science theories to develop effective strategies for environmental problem solving. The final chapter draws out key principles for enhancing these efforts. The book will serve as a key reference for environmental professionals, business people, students, scientists, public officials, government employees, aid workers, or any concerned citizen who wants to be better equipped to navigate the social complexities of environmental challenges and make a meaningful impact on any environmental issue.

scholarly journals A game theoretic approach reveals that discretizing clinical information can reduce antibiotic misuse

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Maya Diamant ◽  
Shoham Baruch ◽  
Eias Kassem ◽  
Khitam Muhsen ◽  
Dov Samet ◽  
...  
Keyword(s):  
Antibiotic Prescription ◽  
Clinical Information ◽  
Social Optimum ◽  
Theoretic Approach ◽  
Theoretic Analysis ◽  
Game Theoretic Analysis ◽  
Optimal Output ◽  
The Social ◽  
Game Theoretic ◽  
Game Theoretic Approach

AbstractThe overuse of antibiotics is exacerbating the antibiotic resistance crisis. Since this problem is a classic common-goods dilemma, it naturally lends itself to a game-theoretic analysis. Hence, we designed a model wherein physicians weigh whether antibiotics should be prescribed, given that antibiotic usage depletes its future effectiveness. The physicians’ decisions rely on the probability of a bacterial infection before definitive laboratory results are available. We show that the physicians’ equilibrium decision rule of antibiotic prescription is not socially optimal. However, we prove that discretizing the information provided to physicians can mitigate the gap between their equilibrium decisions and the social optimum of antibiotic prescription. Despite this problem’s complexity, the effectiveness of the discretization solely depends on the type of information available to the physician to determine the nature of infection. This is demonstrated on theoretic distributions and a clinical dataset. Our results provide a game-theory based guide for optimal output of current and future decision support systems of antibiotic prescription.

A TWO-PHASED FUZZY MULTICRITERIA SELECTION AMONG PUBLIC TRANSPORTATION INVESTMENTS FOR POLICY-MAKING AND RISK GOVERNANCE

2012 ◽  
Vol 20 (supp01) ◽  
pp. 31-48 ◽  
Author(s):  
İHSAN KAYA ◽  
BAŞAR ÖZTAYŞI ◽  
CENGIZ KAHRAMAN
Keyword(s):  
Public Transportation ◽  
Capital Investment ◽  
Transportation Policy ◽  
Rolling Stock ◽  
Risk Governance ◽  
Second Phase ◽  
Transportation Modes ◽  
The Social ◽  
Transportation Type

Public transportation can be viewed as a key determinant and consequence of the social and spatial formation and development of contemporary cities and regions. Transportation policy generally combines four categories of instruments, i.e., investment, pricing, regulation and subsidy, to generate viable alternatives. Capital investment in public transportation supports the purchase of equipment and facilities including rolling stock, tracks, control equipment, and the construction of terminals, stations, parking lots, maintenance facilities and power generating facilities. Risk governance for public transportation investments looks at how risk-related decision-making unfolds when a range of actors is involved, requiring co-ordination and possibly reconciliation between a profusion of roles, perspectives, goals and activities. In this paper, a two-phased multicriteria methodology is proposed to select the best investment alternative for public transportation with respect to the predetermined criteria. In the first phase, a selection among transportation types is made, and in the second phase, a selection among transportation modes of the selected transportation type is made. A case study for Istanbul is given in the application section.

So What is this Social Unconscious Anyway?

2007 ◽  
Vol 40 (3) ◽  
pp. 307-322 ◽  
Author(s):  
Haim Weinberg
Keyword(s):  
Building Blocks ◽  
Practical Applications ◽  
Working Definition ◽  
The Social ◽  
Social Unconscious ◽  
Complex Term

Although the concept of the Social Unconscious has increased in importance in the group analytic literature recently, there are still many misconceptions and misunderstandings about it and its practical applications. While some papers define the term, there are no papers explaining the basics of the social unconscious and what it includes. The purpose of this article is to address the misconceptions, describe the basic building blocks of the social unconscious, and develop a working definition for this complex term.

Influence of conspiracy theories, misinformation and knowledge on public adoption of Nigerian government’s COVID-19 containment policies

2021 ◽  
Vol 13 (2) ◽  
pp. 269-285 ◽  
Author(s):  
Ifeoma Theresa Amobi ◽  
Lambe Kayode Mustapha ◽  
Lilian Adaora Udodi ◽  
Oluwakemi Akinuliola-Aweda ◽  
Mogbonjubade Esther Adesulure ◽  
...  
Keyword(s):  
Group Discussion ◽  
Opinion Leaders ◽  
Safety Measures ◽  
Conspiracy Theories ◽  
The Social ◽  
Study Results ◽  
Media Space ◽  
Analyse Data ◽  
The Individual ◽  
Collective Influence

This study examined the individual and collective influence of conspiracy theories, misinformation and knowledge revolving around COVID-19, on public adoption of the Nigerian government’s containment policies. The study adopted the Survey, and Focus Group Discussion (FGD) methods. For the survey, a sample of 466 respondents were drawn from Facebook, Instagram, Messenger and WhatsApp, while 24 participants were selected for the FGD. The Statistical Package for Social Sciences (SPSS) and thematic approach were used to analyse data generated from the study. Results revealed a COVID-19 conspiratorial thinking among survey respondents and FGD participants, who were also familiar with the orgy of unbridled dissemination of misinformation and conspiracy theories in the social media space. Majority of respondents were knowledgeable about government’s COVID-19 containment policies and were practicing the recommended safety measures. Their decision was influenced by trust in opinion leaders, especially family members and medical experts.

A survey on meta-heuristic algorithms for the influence maximization problem in the social networks

Computing ◽  
2021 ◽  
Author(s):  
Zahra Aghaee ◽  
Mohammad Mahdi Ghasemi ◽  
Hamid Ahmadi Beni ◽  
Asgarali Bouyer ◽  
Afsaneh Fatemi
Keyword(s):  
Social Networks ◽  
Heuristic Algorithms ◽  
Influence Maximization ◽  
Maximization Problem ◽  
The Social ◽  
Influence Maximization Problem

scholarly journals Validation of the Copenhagen Psychosocial Questionnaire-Long Version II (COPSOQ II) in Greek employees

2021 ◽  
Vol 26 (1) ◽  
pp. e977
Author(s):  
Eleni Zigkiri ◽  
Maria Charalampopoulou ◽  
Anastasia Kokka ◽  
Flora Bacopoulou ◽  
Christina Darviri ◽  
...  
Keyword(s):  
Psychosocial Risk ◽  
High Educational Level ◽  
Second Phase ◽  
Greek Language ◽  
Entire Study ◽  
Care Services ◽  
The Social ◽  
Copenhagen Psychosocial Questionnaire ◽  
Two Phases ◽  
High Educational

The aim of this study was to validate the long second version of the Copenhagen Psychosocial Questionnaire (COPSOQ II) in the Greek language. The study was carried out in two phases following a mixed-method design. Six hundred and fifty-two Greek employees (response rate 93.3%) responded in the second phase of the study, either online or in writing. Both types of participation to the study were confidential for the participants and the companies as well. Most participants were females (68.1%), married (47.4%), aged 30-49 years (60.9%), with high educational level (60.4%). The majority were occupied in the health and the social care services (37.4%) and employed by the private sector (63.2%). Internal consistency of the GR-COPSOQ II was assessed with the Cronbach alpha criterion (Cronbach’s a) and it was acceptable (0.8>α>0.7) for most of the scales. Mean scores were high in many scales that describe exposure to psychosocial risk factors at the workplace. Construct validity was established by exploratory factor analysis (EFA) for the entire study sample and scales. In conclusion, the Greek version of the COPSOQ-II (GR-COPSOQ II) has good psychometric properties and can be recommended as a valid tool for the assessment of psychosocial risk in Greek employees.

scholarly journals Influence Maximization in Social Networks using Deterministic Crowding Algorithm

2019 ◽  
Vol 8 (11) ◽  
pp. 4258-4265
Keyword(s):  
Social Network ◽  
Information Diffusion ◽  
Influence Maximization ◽  
Maximization Problem ◽  
Linear Threshold ◽  
The Social ◽  
Spread Of Influence ◽  
Influential Users ◽  
High Influence ◽  
Influence Maximization Problem

In a social network the individuals connected to one another become influenced by one another, while some are more influential than others and able to direct groups of individuals towards a move, an idea and an entity. These individuals are named influential users. Attempt is made by the social network researchers to identify such individuals because by changing their behaviors and ideologies due to communications and the high influence on one another would change many others' behaviors and ideologies in a given community. In information diffusion models, at all stages, individuals are influenced by their neighboring people. These influences and impressions thereof are constructive in an information diffusion process. In the Influence Maximization problem, the goal is to finding a subset of individuals in a social network such that by activating them, the spread of influence is maximized. In this work a new algorithm is presented to identify most influential users under the linear threshold diffusion model. It uses explicit multimodal evolutionary algorithms. Four different datasets are used to evaluate the proposed method. The results show that the precision of our method in average is improved 4.8% compare to best known previous works.

scholarly journals ASSIMILATING AND REPRODUCING CONCEPTS AFTER PHARMACOLOGY LECTURE - A QUESTIONNAIRE-BASED STUDY

2020 ◽  
pp. 122-125
Author(s):  
SYAM SREEDHARAN ◽  
DHANYA SASIDHARAN PALAPPALLIL ◽  
LAILA KANDATH VEEDU ◽  
HARI SANKAR KN ◽  
ATHIRA MUTHANATTU DIVAKARAN
Keyword(s):  
Poor Performance ◽  
Second Phase ◽  
Simple Explanation ◽  
Medical College ◽  
The Social ◽  
Medical Undergraduates ◽  
Simple Language ◽  
The Subject ◽  
Spss Software ◽  
Short Answer Questions

Objective: Medical undergraduates learn pharmacology during the second phase of MBBS. Considering the expanding list of drugs and volatility associated with its learning, the objective of this study was to describe the factors that interfere with the assimilation and reproduction of the concepts in pharmacology. Methods: This was a descriptive study done in the Department of Pharmacology of a Government Medical College in Central Kerala for a period of 2 months. Five short answer questions were chosen to elicit responses from the participants in the form of a surprise test. A Google fill out form elicited the perception of the participants about learning during the pharmacology lecture. The data were sorted and entered into Statistical Package for the Social Sciences (SPSS) software version 16 (SPSS Inc, Chicago, USA). Descriptive data were expressed using frequencies and percentages. Results: Of the 148 students, 84 (56.75%) participated in the study. For the surprise test, the mean marks scored were 2.24±0.77 (maximum marks 5). Forty-seven (56%) participants claimed that they were attentive in pharmacology lectures only “sometimes.” The majority of the participants 82 (97.6%) “sometimes” found it difficult to imbibe the concepts in pharmacology. Seventy (83.3%) agreed that definitions are difficult to learn as such. Only 10 (11.9%) disagreed with the statement that a drug’s action cannot be interpreted as its use because sometimes actions can aggravate some diseases. Sixty-one (72.6%) participants had difficulty in understanding the word “rationale.” Five minutes break, continuity of topics, separate question-answer session at the end of class, summarization, a video demonstration of the mechanism of action, providing printed lecture notes, simple explanation, mnemonics to learn, clinical correlation, lectures during morning hours, and team-based quizzes were some suggestions to increase the assimilation of the subject. Conclusion: Participants had a mean score which was <50% of the total score. While the scores for definitions varied the question on uses of drugs fetched similar marks; however, the students had poor performance on the question related to rationale. Ignorance about the meaning of the word “rationale” shows the importance of regular feedback and the use of simple language in understanding the problems faced by the participants in learning the concepts in pharmacology.

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