Fig 1.
Influence Relationship model existent in an Equity network.
Fig 2.
(a) Frequency of occurrence of top fifteen stocks in the top 10, 20 & 50 rankings in market capitalization based influence strength measures across 100 observations; (b) Temporal variation plot of market capitalization based influence strength of top six companies for 10 years period 2005–15.
Table 1.
Number of stocks in a given sector.
Table 2.
List of stocks with highest top 10 mean influence strength based on cross-correlation coefficients.
Table 3.
List of top 10 ranked stocks with highest frequency in the top 10 rankings based on market capitalization based influence strength across 100 observations.
Table 4.
Sector wise highest influential stocks and their respective industry segments.
Table 5.
Sector wise highest influential industry segments.
Fig 3.
Temporal variation plot of mean influence strength of stocks belonging to the Automobiles sector, Consumer Durables sector, Communication sector and Chemicals sector.
Fig 4.
Temporal variation plot of mean influence strength of stocks belonging to the Energy sector, Engineering sector, Finance sector, and FMCG sector.
Fig 5.
Temporal variation plot of mean influence strength of stocks belonging to the Healthcare sector, Metals sector, Services sector and Technology sector.
Fig 6.
Temporal variation plot of mean influence strength of stocks belonging to the Textiles sector.
Fig 7.
(a) The percentage distribution of construction stocks in different constituting industry segments; (b) The mean influence strength of the stocks belonging to construction sector across 100 observations; (c) Mean influence strength of each industry segment within construction sector across 100 observations; (d) Temporal variation of mean influence strength of constituting industry segments of construction sector for 10 years period 2005–15.
Fig 8.
(a) Plot of mean number of degrees at different threshold levels against the threshold levels; (b) Plot of average clustering coefficient of empirical network & random networks across 100 observations; (c) Plot of average path length of empirical network & random networks across 100 observations;(d) Plot of power law coefficient for empirical networks across 100 observations; (e) Plot of inverse power law coefficient for empirical networks across 100 observations.
Fig 9.
(a) A representative weighted network of cement stocks, formed by 11 cement companies; (b) Plot of mean market capitalization based influence strength for the 11 cement companies; (c) The plot of mean number of degrees at different threshold levels; (d) A representative filtered graph at 0.3 threshold level; (e) A representative Minimum Spanning Tree for the cement stocks for specific observation.