Can you hold an advantageous network position? The role of neighborhood similarity in the sustainability of structural holes in social networks

作者:

Highlights:

• Propose and evaluate a measure of structural social capital that is sustainable in time

• Multiple measures including inbound and outbound neighborhood similarities are proposed

• Measures are empirically evaluated using four real dynamic graphs

• Direct and indirect neighborhood similarities are found to be related to social capital sustainability

• The constraint measure and neighborhood similarity metrics are complementary and allow to obtain a more detail vision of social capital a step further in time

摘要

The literature has provided multiple metrics to measure the structural position of a node in a network or its structural social capital. However, the dynamics of social capital is rarely addressed. In this article, we analyze the sustainability of the structural position of the leaders. We explore the role of neighborhood similarity and propose inbound and outbound similarity measures to address the structural hole's sustainability. To evaluate our approach, we use four real dynamic graphs and Susceptible, Infectious, or Recovered (SIR) model of epidemiology and regression analysis. We evaluate the power of our measures in predicting the evolution of the information spread of nodes, and compare the results with the measures from the literature. Our results confirm the relevance of neighborhood similarity for addressing the sustainability of social capital over time. In particular, the notions of inbound and outbound similarity proposed in this article show its relevance. The proposed framework allows better evaluation of one's strategic position in a social network and measures the potential future impact.

论文关键词:Structural social capital,Structural holes,Network science,Inbound and outbound similarity

论文评审过程:Received 13 August 2021, Revised 30 January 2022, Accepted 29 March 2022, Available online 6 April 2022, Version of Record 11 May 2022.

论文官网地址:https://doi.org/10.1016/j.dss.2022.113783