scholarly journals The Role of Social Network Structure in the Emergence of Linguistic Structure

2020 ◽  
Vol 44 (8) ◽  
Author(s):  
Limor Raviv ◽  
Antje Meyer ◽  
Shiri Lev‐Ari
Keyword(s):  
Social Network ◽  
Network Structure ◽  
Linguistic Structure ◽  
Social Network Structure

Social Network Structures for Explicit, Tacit and Potential Knowledge

2011 ◽  
pp. 81-90
Author(s):  
Anssi Smedlund
Keyword(s):  
Knowledge Management ◽  
Social Network ◽  
Tacit Knowledge ◽  
Network Structure ◽  
Explicit Knowledge ◽  
Network Structures ◽  
Underlying Assumption ◽  
Knowledge Assets ◽  
Social Network Structure

The purpose of this conceptual article is to develop argumentation of the knowledge assets of a firm as consisting of three constructs, to extend the conventional explicit, tacit dichotomy by including potential knowledge. The article highlights the role of knowledge, which has so far not been utilized in value creation. The underlying assumption in the article is that knowledge assets can be thought of as embedded in the relationships between individuals in the firm, rather than possessed by single actors. The concept of potential knowledge is explained with selected social network and knowledge management literature. The findings suggest that the ideal social network structure for explicit knowledge is centralized, for tacit knowledge it is distributed, and for potential knowledge decentralized. Practically, the article provides a framework for understanding the connection between knowledge assets and social network structures, thus helping managers of firms in designing suitable social network structures for different types of knowledge.

Social Network Structures for Explicit, Tacit and Potential Knowledge

2010 ◽  
pp. 1947-1956
Author(s):  
Anssi Smedlund
Keyword(s):  
Knowledge Management ◽  
Social Network ◽  
Tacit Knowledge ◽  
Network Structure ◽  
Explicit Knowledge ◽  
Network Structures ◽  
Underlying Assumption ◽  
Knowledge Assets ◽  
Social Network Structure

The purpose of this conceptual article is to develop argumentation of the knowledge assets of a firm as consisting of three constructs, to extend the conventional explicit, tacit dichotomy by including potential knowledge. The article highlights the role of knowledge, which has so far not been utilized in value creation. The underlying assumption in the article is that knowledge assets can be thought of as embedded in the relationships between individuals in the firm, rather than possessed by single actors. The concept of potential knowledge is explained with selected social network and knowledge management literature. The findings suggest that the ideal social network structure for explicit knowledge is centralized, for tacit knowledge it is distributed, and for potential knowledge decentralized. Practically, the article provides a framework for understanding the connection between knowledge assets and social network structures, thus helping managers of firms in designing suitable social network structures for different types of knowledge.

Converging evidence

2020 ◽  
Vol 10 (2) ◽  
pp. 259-290
Author(s):  
Russell Richie ◽  
Matthew L. Hall ◽  
Pyeong Whan Cho ◽  
Marie Coppola
Keyword(s):  
Social Network ◽  
Interpersonal Communication ◽  
Network Structure ◽  
Physical Environment ◽  
Experimental Demonstration ◽  
Computational Simulations ◽  
Referring Expressions ◽  
Social Network Structure ◽  
Human Participants

Abstract New languages emerge through interactions among people, yet the role of social network structure in language emergence is not clear, despite research from experimental semiotics, observational fieldwork, and computational modeling. To better understand the effects of social network structure on the formation of conventional referring expressions, we use a silent gesture paradigm that combines the methodological control of experimental semiotics and computational simulations with the naturalistic affordances of the human body, physical environment, and interpersonal communication. We elicited gestural referring expressions from hearing participants randomly assigned to either a richly- or sparsely-connected communicative network. Results demonstrate greater conventionalization among participants in the richly-connected condition, although this effect disappears after accounting for between-condition differences in overall number of communicative interactions. These results provide the first experimental demonstration that communicative network structure causally impacts the conventionalization of referring expressions in human participants, using a communicative modality in which human language naturally arises.

scholarly journals The Economic Consequences of Social-Network Structure

2017 ◽  
Vol 55 (1) ◽  
pp. 49-95 ◽  
Author(s):  
Matthew O. Jackson ◽  
Brian W. Rogers ◽  
Yves Zenou
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Interaction ◽  
Network Structure ◽  
Economic Consequences ◽  
Interaction Networks ◽  
Social Network Structure ◽  
And Behaviors ◽  
The Relationship

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)

Converging evidence: Network structure effects on conventionalization of gestural referring expressions

2020 ◽  
Author(s):  
Russell Richie ◽  
Matthew L Hall ◽  
Pyeong Whan Cho ◽  
Marie Coppola
Keyword(s):  
Social Network ◽  
Interpersonal Communication ◽  
Network Structure ◽  
Physical Environment ◽  
Experimental Demonstration ◽  
Computational Simulations ◽  
Referring Expressions ◽  
Social Network Structure ◽  
Human Participants

New languages emerge through interactions among people, yet the role of social network structure in language emergence is not clear, despite research from experimental semiotics, observational fieldwork, and computational modeling. To better understand the effects of social network structure on the formation of conventional referring expressions, we use a silent gesture paradigm that combines the methodological control of experimental semiotics and computational simulations with the naturalistic affordances of the human body, physical environment, and interpersonal communication. We elicited gestural referring expressions from hearing participants randomly assigned to either a richly- or sparsely-connected communicative network. Results demonstrated greater conventionalization among participants in the richly-connected condition, although this effect disappears after accounting for between-condition differences in overall number of communicative interactions. These results provide the first experimental demonstration that communicative network structure causally impacts the conventionalization of referring expressions in human participants, using a communicative modality in which human language naturally arises.

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