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Personal network

About: Personal network is a research topic. Over the lifetime, 761 publications have been published within this topic receiving 26924 citations. The topic is also known as: contact network.


Papers
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Journal ArticleDOI
TL;DR: The results clearly indicate that information dissemination is dominated by both weak and strong w-o-m, rather than by advertising, which means that strong and weak ties become the main forces propelling growth.
Abstract: Though word-of-mouth (w-o-m) communications is a pervasive and intriguing phenomenon, little is known on its underlying process of personal communications. Moreover as marketers are getting more interested in harnessing the power of w-o-m, for e-business and other net related activities, the effects of the different communications types on macro level marketing is becoming critical. In particular we are interested in the breakdown of the personal communication between closer and stronger communications that are within an individual's own personal group (strong ties) and weaker and less personal communications that an individual makes with a wide set of other acquaintances and colleagues (weak ties). We use a technique borrowed from Complex Systems Analysis called stochastic cellular automata in order to generate data and analyze the results so that answers to our main research issues could be ascertained. The following summarizes the impact of strong and weak ties on the speed of acceptance of a new product: ••The influence of weak ties is at least as strong as the influence of strong ties. Despite the relative inferiority of the weak tie parameter in the model's assumptions, their effect approximates or exceeds that of strong ties, in all stages of the product life cycle. ••External marketing efforts (e.g., advertising) are effective. However, beyond a relatively early stage of the growth cycle of the new product, their efficacy quickly diminishes and strong and weak ties become the main forces propelling growth. The results clearly indicate that information dissemination is dominated by both weak and strong w-o-m, rather than by advertising. ••The effect of strong ties diminishes as personal network size decreases. Market attributes were also found to mediate the effects of weak and strong ties. When personal networks are small, weak ties were found to have a stronger impact on information dissemination than strong ties.

2,044 citations

Book
01 Jan 1995
TL;DR: Conclusions and Discussions: Applications Contrasting Network Thresholds with the Classic Diffusion Model Conclusions Limitations Future Research.
Abstract: Part 1 Introduction: Diffusion of Innovations and Network Analysis Diffusion Versus Collective Behaviour Datasets Analysed Contagion. Part 2 Prior Research on Thresholds and the Critical Mass: Epidemiology Geography Markets and Economics Collective Behaviour Interactive Communication Technologies Public Opinion Decay Processes Subgroups. Part 3 Relational Diffusion Networks: Opinion Leadership Group Membership Personal Network Density Personal Network Exposure. Part 4 Structural Diffusion Networks: The Strength of Weak Ties Centrality Positional Equivalence Structural Equivalence Relational vs. Structural. Part 5 Threshold Models of Diffusion: Threshold Models Network Thresholds Personal Network Exposure Threshold Lags Structural Network Thresholds. Part 6 Critical Mass Models of Diffusion: Inflection Points Structural Measures of the Critical Mass Finding Critical Mass Testing Critical Mass Definitions. Part 7 Empirical Analyses of Threshold Models: Micro- and Macrolevels of Analysis Adopted Categories A Threshold/Critical Mass (T/CM) Model. Part 8 Other Network Models and Methods: Other Threshold Models Corrected Thresholds Event History Analysis Complementarity Dyads. Part 9 Conclusions and Discussions: Applications Contrasting Network Thresholds with the Classic Diffusion Model Conclusions Limitations Future Research.

1,625 citations

Journal ArticleDOI
TL;DR: It is shown that enjoyment is the most influential factor in people's continued use of SNS, followed by number of peers, and usefulness, and the findings suggest that gender difference also produces different influences.

1,472 citations

Book
01 Jun 1980
TL;DR: A communication network in a small village of Korea Oryu Li is described, in which basic principles are applied to collectively make decisions about family planning, to illustrate methods of network analysis.
Abstract: The purpose of this book is to present what is currently known about communication networks and to illustrate methods of network analysis The 1st chapter describes a communication network in a small village of Korea Oryu Li in which basic principles are applied to collectively make decisions about family planning The following chapter discusses the convergence model of communication and network analysis in regard to its theoretical roots its concept meaning and implications in mass media communication Chapter 3 analyzes the communication network analysis Specifically it discusses how to measure communication network links and describes the levels of analysis Chapter 4 explains what are the methods of network analysis in regard to matrix manipulation NEGOPY direct factor analysis smallest space analysis and SOCK and COMPLT The following chapter discusses network variables in an attempt to explain individual behavior Specificially it analyzes personal network effects on individual behavior the effects of cliques systems effects and threshold effects Chapter 6 attempts to explain communication networks in group and system performances Many examples of the Korean family planning experience are used to support this analysis The methodology of assessing the determinants of who is linked to whom social determinants of network link the stability of network links over time and the multiplexity of network links are the main subjects discussed chapter 7 Chapter 8 is a summary of what type of research is currently being done in communication networks Specifically it discusses the methodology advantages of network analysis problems associated with this type of analysis and how to put this network analysis into use Tables and charts as well as a glossary are provided

1,252 citations

Book
01 Jan 1981
TL;DR: In this article, the authors present what is currently known about communication networks and illustrate methods of network analysis, including matrix manipulation NEGOPY direct factor analysis smallest space analysis and SOCK and COMPLT.
Abstract: The purpose of this book is to present what is currently known about communication networks and to illustrate methods of network analysis. The 1st chapter describes a communication network in a small village of Korea Oryu Li in which basic principles are applied to collectively make decisions about family planning. The following chapter discusses the convergence model of communication and network analysis in regard to its theoretical roots its concept meaning and implications in mass media communication. Chapter 3 analyzes the communication network analysis. Specifically it discusses how to measure communication network links and describes the levels of analysis. Chapter 4 explains what are the methods of network analysis in regard to matrix manipulation NEGOPY direct factor analysis smallest space analysis and SOCK and COMPLT. The following chapter discusses network variables in an attempt to explain individual behavior. Specificially it analyzes personal network effects on individual behavior the effects of cliques systems effects and threshold effects. Chapter 6 attempts to explain communication networks in group and system performances. Many examples of the Korean family planning experience are used to support this analysis. The methodology of assessing the determinants of who is linked to whom social determinants of network link the stability of network links over time and the multiplexity of network links are the main subjects discussed chapter 7. Chapter 8 is a summary of what type of research is currently being done in communication networks. Specifically it discusses the methodology advantages of network analysis problems associated with this type of analysis and how to put this network analysis into use. Tables and charts as well as a glossary are provided.

1,083 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20241
202310
202217
202134
202030
201927