Describing the effect of influential spreaders on the different sectors of Indian market: a complex networks perspective
arXiv:2303.05432 · doi:10.1007/s42001-023-00229-4
Abstract
Market competition has a role which is directly or indirectly associated with influential effects of individual sectors on other sectors of the economy. The present work studies the relative position of a product in the market through the identification of influential spreaders and its corresponding effect on the other sectors of the market using complex network analysis during the pre-, in-, and post-crisis induced lockdown periods using daily data of NSE from December, 2019 to June, 2021. The existing approaches using different centrality measures failed to distinguish between the positive and negative influences of the different sectors in the market which act as spreaders. To obviate this problem, this paper presents an effective measure called LIEST (Local Influential Effects for Specific Target) that can examine the positive and negative influences separately with respect to any crisis period. LIEST considers the combined impact of all possible nodes which are at most three steps away from the specific targets for the networks. The essence of non-linearity in the network dynamics without considering single node effect becomes visible particularly in the proposed network.
arXiv comment17 pages, 21 figures
References in corpus (18)
- The structure and function of complex networks
- An index to quantify an individual's scientific research output
- Measuring Information Transfer
- Identification of influential spreaders in complex networks
- Hierarchical Structure in Financial Markets
- Influence maximization in complex networks through optimal percolation
- Noise Dressing of Financial Correlation Matrices
- Leaders in Social Networks, the Delicious Case
- Consistency and differences between centrality measures across distinct classes of networks
- Collective behavior of stock price movements in an emerging market
- Bubbles, crashes and intermittency in agent based market models
- Geometric detection of coupling directions by means of inter-system recurrence networks
- Current Flow Group Closeness Centrality for Complex Networks
- Identifying long-term precursors of financial market crashes using correlation patterns
- Linear and nonlinear market correlations: characterizing financial crises and portfolio optimization
- A Study of Correlations in the Stock Market
- Network-centric indicators for fragility in global financial indices
- Uncovering the Internal Structure of the Indian Financial Market: Cross-correlation behavior in the NSE