scholarly journals Intimate connections : an agent-based model of the relationship between social network structure and language typology

2018 ◽  
Author(s):  
Matthew Elliot Lou-Magnuson

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Fan Gu ◽  
Yuanyuan Xiao

Although networking is reported to be a job search strategy in the literature, research on the interaction between social networking and other personal resources and its effect on job satisfaction is scarce. In the perspective of social networks, the present study explored whether the social network structure, which consists of network size and tie strength, moderates the relationship between psychological capital and job satisfaction. By using a two-wave longitudinal design, we collected the quantitative data (survey of 344 undergraduate students who were about to graduate soon) from 19 universities in Beijing city, Shandong Province, and Jiangsu Province in Eastern China. Factor analysis and hierarchical regression analysis were adopted to analyze the data of the survey. We found that psychological capital has a positive impact on job seekers’ job satisfaction. Furthermore, smaller networks and weaker ties in social networks both render the positive effect of psychological capital on job satisfaction even stronger.



Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Shelley D. Dionne ◽  
Hiroki Sayama ◽  
Francis J. Yammarino

Collective, especially group-based, managerial decision making is crucial in organizations. Using an evolutionary theoretic approach to collective decision making, agent-based simulations were conducted to investigate how human collective decision making would be affected by the agents’ diversity in problem understanding and/or behavior in discussion, as well as by their social network structure. Simulation results indicated that groups with consistent problem understanding tended to produce higher utility values of ideas and displayed better decision convergence, but only if there was no group-level bias in collective problem understanding. Simulation results also indicated the importance of balance between selection-oriented (i.e., exploitative) and variation-oriented (i.e., explorative) behaviors in discussion to achieve quality final decisions. Expanding the group size and introducing nontrivial social network structure generally improved the quality of ideas at the cost of decision convergence. Simulations with different social network topologies revealed collective decision making on small-world networks with high local clustering tended to achieve highest decision quality more often than on random or scale-free networks. Implications of this evolutionary theory and simulation approach for future managerial research on collective, group, and multilevel decision making are discussed.



2016 ◽  
Vol 12 (3) ◽  
pp. 119 ◽  
Author(s):  
Alia Bihrajihant Raya

<p>The development of farmer groups in Indonesia is being stagnant because of the function of farmer group could not afford the needs of farmer group members. Participation of members is crucial to be assessed in order to promote the development of farmer group. To increase the participation of members, the social network structure between members and leaders should be taken into consideration. In this paper, the function of local institution leaders together with the function of farmer group leaders are measured in the social network structure. Through the graph of social network, it found that members will access information easily through the routine meeting in the local institution (neighborhood association) while the farmer group leaders are functioning as a legitimate of farmer group agenda. This paper suggests that the relationship between member and leader on the social network structure influences the member participation in the farmer group.</p>



SAGE Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 215824402096938
Author(s):  
Handong Tang ◽  
Ge Wang ◽  
Junwei Zheng ◽  
Lan Luo ◽  
Guangdong Wu

This study applies affective events theory (AET) and resource dependence theory to introduce the moderating variable social network structure hole; a theoretical model is applied to better understand construction project managers’ emotional intelligence (EI), the innovative behavior of employees, and job performance. A questionnaire survey was conducted with Chinese construction project managers and their employees, with 169 valid questionnaires analyzed using structural equation modeling. The results show that (a) managers with high EI have more potential to make use of structural holes; (b) managers with high EI can stimulate employees’ innovative behavior, thus improving employees’ job performance; (c) structural holes can enhance the relationship between managers’ EI and employees’ innovative behavior and strengthen the relationship between EI and employees’ job performance. Using the lens of AET, this study examines the influencing path of managers’ EI on employees’ job performance from two aspects: emotion-driven behavior and judgment-driven behavior. The study also discusses the moderating mechanism of social network structure hole. The conclusion may help project managers better understand and make use of the influence of social network structure holes.



2016 ◽  
Vol 19 (6) ◽  
pp. 861-879 ◽  
Author(s):  
Weixu Lu ◽  
Keith N Hampton

Existing research suggests that social media use is associated with higher levels of social capital—the resources contained within a person’s network of friends, family, and other acquaintances. However, in predicting access to these resources, it has been impossible to distinguish the affordances of social media from the underlying advantage of maintaining a favorable social network of relationships on- and offline. Based on data from a representative, national survey, we compare the relationship between social network structure and various activities on Facebook for one type of resource: informal social support in the form of companionship, emotional support, and tangible aid. In addition to a positive association between number of close ties, overall network size and diversity and social support, we find that Facebook status updates and private messaging are independently associated with perceived support. We argue that these affordances are an outcome of the “pervasive awareness” provided by social media.



2017 ◽  
Vol 55 (1) ◽  
pp. 49-95 ◽  
Author(s):  
Matthew O. Jackson ◽  
Brian W. Rogers ◽  
Yves Zenou

We survey the literature on the economic consequences of the structure of social networks. We develop a taxonomy of “macro” and “micro” characteristics of social-interaction networks and discuss both the theoretical and empirical findings concerning the role of those characteristics in determining learning, diffusion, decisions, and resulting behaviors. We also discuss the challenges of accounting for the endogeneity of networks in assessing the relationship between the patterns of interactions and behaviors. (JEL D12, D83, D85, K42, Z13)





Sign in / Sign up

Export Citation Format

Share Document