Academia.eduAcademia.edu

Figure from:Exploring Online Community Search Interest on Temporal Dynamics of Ayodhya: A Case Study of the Ram Mandir based on Google Search Trends Insight

See full PDFdownloadDownload figure
Figure 7 — Global Search Interest for "Ram Mandir' across different countries of the world VERMA et al.: EXPLORING ONLINE COMMUNITY SEARCH INTEREST ON TEMPORAL DYNAMICS OF AYODHYA: A CASE STUDY OF THE RAM MANDIR BASED ON GOOGLE SEARCH TRENDS INSIGHT

Figure 7 — Global Search Interest for "Ram Mandir' across different countries of the world VERMA et al.: EXPLORING ONLINE COMMUNITY SEARCH INTEREST ON TEMPORAL DYNAMICS OF AYODHYA: A CASE STUDY OF THE RAM MANDIR BASED ON GOOGLE SEARCH TRENDS INSIGHT

Related Figures (7)

Figure 1 — Google Trend search interest over time This study employs a quantitative methodology to examine the digital interest surrounding the "Ram Mandir" topic by utilising Google Trends data. To Figure 1 represents a chronological record of search interest levels for "Ram Mandir" within India and on a worldwide scale measured monthly. According to Google Trends, "Interest over time" shows how many searches were made for a specific term compared to the total number of Google searches over a certain period. It shows the relative popularity of a topic over time. A score of 0 signifies inadequate data for this phrase, while a score of 50 indicates half the level of popularity and a score of 100 marks the term's highest point of popularity. Each data point,
Figure 1 — Google Trend search interest over time This study employs a quantitative methodology to examine the digital interest surrounding the "Ram Mandir" topic by utilising Google Trends data. To Figure 1 represents a chronological record of search interest levels for "Ram Mandir" within India and on a worldwide scale measured monthly. According to Google Trends, "Interest over time" shows how many searches were made for a specific term compared to the total number of Google searches over a certain period. It shows the relative popularity of a topic over time. A score of 0 signifies inadequate data for this phrase, while a score of 50 indicates half the level of popularity and a score of 100 marks the term's highest point of popularity. Each data point,
Figures 2 and 3 illustrate that the performance of the forecasting models varied significantly when analysing the search interest levels for "Ram Mandir" through Google Trends data, both within India and globally. For the Indian dataset, Support Vector Figure 2 — Prediction models for Interest over time (Worldwide) In examining the forecast data (figure 4) for "Ram Mandir" search interest levels within India, notable variations emerge across the four forecasting models: AutoARIMA, Random Forest, SVR, and Neural Network. AutoARIMA projects a fluctuating trend, with search interest levels oscillating between 14.38 and 27.03 from January to December 2024. Similarly, Random Forest maintains a consistent forecast of 27.12 throughout the year, indicating stability but potentially overlooking nuanced changes in search behaviour. SVR, with the lowest Mean Squared Error (MSE) of 80.42, anticipates a gradual decline in search interest, starting at 5.03 in January and
Figures 2 and 3 illustrate that the performance of the forecasting models varied significantly when analysing the search interest levels for "Ram Mandir" through Google Trends data, both within India and globally. For the Indian dataset, Support Vector Figure 2 — Prediction models for Interest over time (Worldwide) In examining the forecast data (figure 4) for "Ram Mandir" search interest levels within India, notable variations emerge across the four forecasting models: AutoARIMA, Random Forest, SVR, and Neural Network. AutoARIMA projects a fluctuating trend, with search interest levels oscillating between 14.38 and 27.03 from January to December 2024. Similarly, Random Forest maintains a consistent forecast of 27.12 throughout the year, indicating stability but potentially overlooking nuanced changes in search behaviour. SVR, with the lowest Mean Squared Error (MSE) of 80.42, anticipates a gradual decline in search interest, starting at 5.03 in January and
VERMA et al.: EXPLORING ONLINE COMMUNITY SEARCH INTEREST ON TEMPORAL DYNAMICS OF AYODHYA: A CASE STUDY OF THE RAM MANDIR BASED ON GOOGLE SEARCH TRENDS INSIGHT
VERMA et al.: EXPLORING ONLINE COMMUNITY SEARCH INTEREST ON TEMPORAL DYNAMICS OF AYODHYA: A CASE STUDY OF THE RAM MANDIR BASED ON GOOGLE SEARCH TRENDS INSIGHT
‘igure 5 — Projected Global Search Interest Trends for "Ram Mandir’
‘igure 5 — Projected Global Search Interest Trends for "Ram Mandir’
Figure 6 — Regional distribution of "Ram Mandir’ Search Interest across India
Figure 6 — Regional distribution of "Ram Mandir’ Search Interest across India
On a global scale, the "Hindu Temple" holds the highest position on the list, scoring 100, indicating its significant importance in the "Ram Mandir" discussions. This phenomenon is also observed in the Indian context, where the term "Hindu Temple" receives a perfect score of 100, highlighting its supreme significance at the national level. The lists
On a global scale, the "Hindu Temple" holds the highest position on the list, scoring 100, indicating its significant importance in the "Ram Mandir" discussions. This phenomenon is also observed in the Indian context, where the term "Hindu Temple" receives a perfect score of 100, highlighting its supreme significance at the national level. The lists
"Ram Mandir Photo", and "Ram Mandir Date" yield diverse results encompassing religious, historical, and cultural dimensions. Unlike the global queries, the Indian list contains more specific search terms such as "Babri Masjid Ram Mandir", "Ram Mandir Nirman", and "Ram Mandir Station", highlighting the intricate and multifaceted nature of the Ram Mandir issue within India. These questions refer to the area's historical and legal conflicts and show interest in constructing the temple and its connected infrastructure. Table 2 — Trending queries within India and Worldwide
"Ram Mandir Photo", and "Ram Mandir Date" yield diverse results encompassing religious, historical, and cultural dimensions. Unlike the global queries, the Indian list contains more specific search terms such as "Babri Masjid Ram Mandir", "Ram Mandir Nirman", and "Ram Mandir Station", highlighting the intricate and multifaceted nature of the Ram Mandir issue within India. These questions refer to the area's historical and legal conflicts and show interest in constructing the temple and its connected infrastructure. Table 2 — Trending queries within India and Worldwide