
India’s maritime transport system plays a crucial role in facilitating international trade and supporting national economic development. As trade volumes continue to increase, the efficiency of port connectivity and logistics networks has become increasingly important. While India possesses a large number of ports distributed along both the eastern and western coasts, the level of connectivity among these ports is not always evenly balanced. Differences in connectivity patterns can influence how cargo flows through the maritime network and may affect the overall efficiency of trade logistics. This study examines regional connectivity patterns within India’s port network using a network analysis approach. In the analytical framework, ports are represented as nodes while the connections between them represent operational or shipping linkages. By constructing a conceptual network of selected Indian ports and analyzing their connectivity relationships, the study aims to identify differences in integration between ports located along the eastern and western coasts of the country. The analysis reveals that connectivity within the network is unevenly distributed, with certain ports emerging as dominant hubs while others remain relatively peripheral. These patterns suggest the presence of regional connectivity imbalances that may influence cargo distribution, logistics efficiency, and infrastructure utilization. Understanding these structural differences can provide useful insights for policymakers and planners seeking to strengthen maritime connectivity and improve the performance of India’s trade logistics system.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
