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Analyzing Online Mentoring Process and Facilitation Strategies

Myunghee Kang, Young Ran Yoo, Young Park
2012 Procedia - Social and Behavioral Sciences  
Based on a literature review and personal experiences working with the programs, four phases of the process were suggested.  ...  It has been an important task for mentoring managers to facilitate and support the activities of participants in online mentoring.  ...  The 5 Easy-to strategies suggested could maximize the accessibility, openness, participation, and human networks.  ... 
doi:10.1016/j.sbspro.2012.06.400 fatcat:ciyhixu4arbtvouk5bd7gfdiku

Diffusion Analysis and Incentive Method for Mobile Crowdsensing User Based on Knowledge Graph Reasoning

Jian Wang, Shanshan Cui, Guosheng Zhao, Zhongnan Zhao, Liguo Zhang
2021 Security and Communication Networks  
based on critical prices.  ...  based on knowledge graph reasoning.  ...  Calculate the matching degree of the subusers recruited by the participating users with the system tasks and their willingness to participate, analyze the user's influence, and obtain the user's social  ... 
doi:10.1155/2021/6697862 fatcat:4i2beexqpjgsbp42ngy72humxy

Modeling the Spread of an Obesity Intervention through a Social Network

Mahboobeh Sangachin, Mohammadreza Samadi, Lora Cavuoto
2014 Journal of Healthcare Engineering  
One approach is to investigate the spread of positive health outcomes through a social network.  ...  In order to model the spread of an obesity intervention through a population, the influence maximization model in social networks can be applied.  ...  These models provide general frameworks that define how influence spreads in a social network based on customization to the specific application.  ... 
doi:10.1260/2040-2295.5.3.293 pmid:25193369 fatcat:cv3ldnbb55flrjymxqm73yyvgu

How Do We Find Early Adopters Who Will Guide a Resource Constrained Network Towards a Desired Distribution of Behaviors? [article]

Kaushik Sarkar, Hari Sundaram
2013 arXiv   pre-print
Thus we propose heuristics, which are based on node degree and expected immediate adoption, to select early adopters.  ...  Individuals adopt the set of behaviors that maximize their utility subject to available resources. We show that the problem of influence maximization for multiple behaviors is NP-complete.  ...  So maximizing the resource utilization translates into maximizing the spread.  ... 
arXiv:1303.5903v1 fatcat:yv3ot6mqujes5md6qtrmaehk2a

Multi-task Learning for Influence Estimation and Maximization [article]

George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis
2020 arXiv   pre-print
We address the problem of influence maximization when the social network is accompanied by diffusion cascades.  ...  Motivated by the recent criticism on the effectiveness of diffusion models as well as the galloping advancements in influence learning, we propose IMINFECTOR (Influence Maximization with INFluencer vECTORs  ...  A.2 Influence Spread by Bipartite Matching The diffusion matrix D can be interpreted as a bipartite network with influencers (cascade initiators) on one side and susceptible nodes on the left.  ... 
arXiv:1904.08804v3 fatcat:he3qzlitrzgnhofp36432emjqi

Page 399 of Journal of Advertising Research Vol. 47, Issue 4 [page]

2007 Journal of Advertising Research  
Columbia University Sociology Profes- sor Duncan Watts agrees, arguing what he calls the “influentials hypothesis” is based on untested assumptions and in most cases does not match how diffusion operates  ...  Base = 6,205 U.S. adults (18+) familiar with one or more of the 10 “most visible” U.S. companies.  ... 

A comparison study of multi-attribute continuous double auction mechanisms

Yasaman Sarlati, Simin Naghavi, Faria Nassiri Mofakham
2013 7th International Conference on e-Commerce in Developing Countries:with focus on e-Security  
This research analyzes and compares the GM, timestamp-based and social-welfare maximization mechanisms for multi-attribute double auctions.  ...  This multi-attribute double auction mechanism is based on game theory and behaves fairer in matching and arbitration.  ...  Winner determination methods in multi-attribute double auctions have been based on timestamp or for welfare maximization.  ... 
doi:10.1109/ecdc.2013.6556724 fatcat:ri7lx54tyfeh3d26xwizcn4wwi

Content Recommendation for Viral Social Influence

Sergei Ivanov, Konstantinos Theocharidis, Manolis Terrovitis, Panagiotis Karras
2017 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17  
its expected spread over a social network.  ...  Signi cant research activity has been dedicated to the problem of strategically selecting a seed set of initial adopters so as to maximize a meme's spread in a network.  ...  Digital In uence Social in uence is de ned based on peer behavior [1] , so as to distinguish it from confounding factors [2, 19, 21, 29] . D 1.  ... 
doi:10.1145/3077136.3080788 dblp:conf/sigir/0002TTK17 fatcat:4cxecggekrctjk44zew6kpuzoq

Meme Implicature Using the Word 'Tenggelamkan'

Sela Wildaan Aulia, Nurhayati
2020 Retorika: Jurnal Ilmu Bahasa  
The research method is descriptive qualitative, the analysis used is Grice's theory of conversational maxims.  ...  The majority of Indonesians who are known to use social media as a means of communication and entertainment are certainly familiar with the term meme.  ...  partner to provide sufficient responses or answers as needed by the interlocutor. b) Maxim of Quality Maxim of quality expects each speech participant to tell the truth or be based on evidence. c) Maxim  ... 
doi:10.22225/jr.6.2.1634.173-177 fatcat:vbajlintmrag3grztaaxewvtyu

Optimal Quality Strategy and Matching Service on Crowdfunding Platforms

Wenqing Wu, Xuan Huang, Yue Li, Chien-Chi Chu
2018 Sustainability  
Project quality is an important factor for funders participating in crowdfunding campaigns.  ...  One is the quality threshold of admission and the other is the matching efficiency on crowdfunding platforms.  ...  One is the revenue from participant entrance, and the other is based on a certain percent of the funds for all successful campaigns.  ... 
doi:10.3390/su10041053 fatcat:a4pej7oshzgmnni7vio65sld3u

Corruption on the Court: The Causes and Social Consequences of Point-Shaving in NCAA Basketball

Yang-Ming Chang, Shane D. Sanders
2009 Review of Law & Economics  
of participation in illicit activities.  ...  Specifically, we present a contest model of a college basketball game to identify the winners, losers, and social welfare consequences of point-shaving corruption in men's NCAA basketball as an example  ...  Based on this distributional departure, the author estimates that six percent of matches featuring a strongly favored team (i.e., one favored to win by at least twelve points) are corrupted by the presence  ... 
doi:10.2202/1555-5879.1244 fatcat:vvjruqmrujdixm7rxzus6zwmn4

Platform Pricing in Matching Markets

Maarten Goos, Patrick J. G. Van Cayseele, Bert Willekens
2011 Social Science Research Network  
In this case it is socially desirable to attract smaller groups of users with higher average quality to maximize the aggregate match surplus, resulting in a downward price distortion.  ...  limits to positive cross-side network e¤ects and the presence of own-side congestion. 2) Matched agents bargain over the division of the match surplus depending on the qualitative characteristics of both  ...  A Pigouvian platform maximizes total social value given by expression (7) in which the average match valuation of participating users on side I = A; B is rede…ned as v I I N I Z +1 e q I v(q I ; q J )f  ... 
doi:10.2139/ssrn.1978768 fatcat:3ftecpyhynhnbf2jgsl54oyu4u

Influencing Busy People in a Social Network

Kaushik Sarkar, Hari Sundaram, Wen-Bo Du
2016 PLoS ONE  
We identify influential early adopters in a social network, where individuals are resource constrained, to maximize the spread of multiple, costly behaviors.  ...  The problem of maximizing influence in a social network is challenging since it is computationally intractable. We make three contributions.  ...  So maximizing the resource utilization translates into maximizing the spread.  ... 
doi:10.1371/journal.pone.0162014 pmid:27711127 pmcid:PMC5053606 fatcat:3uuaid6qwjbjhnv4hj4vizyx3a

Toward Information Diffusion Model for Viral Marketing in Business

Lulwah AlSuwaidan, Mourad Ykhlef
2016 International Journal of Advanced Computer Science and Applications  
Most of the literature have focused on achieving objectives such as influence maximization or community detection.  ...  Studies on diffusion methods for viral marketing have applied different computational methods, but a systematic investigation of these methods has limited.  ...  Another diffusion approach is based on rumors spread.  ... 
doi:10.14569/ijacsa.2016.070280 fatcat:6t4mopwhjrgovkyejylkac7lfm

Rule Following Mitigates Collaborative Cheating and Facilitates the Spreading of Honesty Within Groups

Jörg Gross, Carsten K. W. De Dreu
2020 Personality and Social Psychology Bulletin  
Whereas social interaction can lead to a "social slippery slope" of increased cheating, rule-abiding individuals mitigate the emergence and spreading of collaborative cheating, leading to a transmission  ...  Because rule-followers also resist the temptation to engage in collaborative cheating, dyads and groups with at least one high rule-follower have fewer instances of coordinated violations of honesty.  ...  After the first task, participants were scheduled for a second appointment based on the experimental schedule and participant availability.  ... 
doi:10.1177/0146167220927195 pmid:32552605 fatcat:ussgolokxffhnep6n2ijcyn45i
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