Big Data Problem: Over the last years, a new wave of data emerged which is characterised for being high volume, high frequency, and mostly semi-structured. These data came from multiple sources such as web site logs, web site posts, and machine generated information. But these data contains a lot of hidden information that help the day-to-day business. The need to manage this data resulted in a phenomenon called Big Data. Big data refers to the vast amount of data which cannot be processed and analysed when traditional computer technologies and tools are applied. Big data provides high performance and scalability at a reasonable cost. The main characteristics of big data phenomenon are Volume, Variety and Velocity of data These three characteristics have been defined as the three Vs. Volume refers to the amount of data, variety refers to the number of types of data, and velocity refers to the speed of data processing.

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Could you fix this? My marker has commented, What's missing? The input list is the link below. https://gmierzwinski.github.io/bishops/cs321/resources/CS321_Assignment_1_Input.txt result.put(true, dishwasherSum); result.put(false, sinkSum); return result; }}

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Chapter 14, Problem 3RQ

Program Plan Intro

Big Data Problem:

Over the last years, a new wave of data emerged which is characterised for being high volume, high frequency, and mostly semi-structured.

These data came from multiple sources such as web site logs, web site posts, and machine generated information.

But these data contains a lot of hidden information that help the day-to-day business.

The need to manage this data resulted in a phenomenon called Big Data.

Big data refers to the vast amount of data which cannot be processed and analysed when traditional computer technologies and tools are applied.

Big data provides high performance and scalability at a reasonable cost.

The main characteristics of big data phenomenon are Volume, Variety and Velocity of data

These three characteristics have been defined as the three Vs.

Volume refers to the amount of data, variety refers to the number of types of data, and velocity refers to the speed of data processing.

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Could you fix this? My marker has commented, What's missing? The input list is the link below. https://gmierzwinski.github.io/bishops/cs321/resources/CS321_Assignment_1_Input.txt result.put(true, dishwasherSum); result.put(false, sinkSum); return result; }}

PLEG136: Week 5 Portofolio Project Motion to Compel

B A E H Figure 1 K Questions 1. List the shortest paths between all node pairs. Indicate the number of shortest paths that pass through each edge. Explain how this information helps determine edge betweenness. 2. Compute the edge betweenness for each configuration of DFS. 3. Remove the edge(s) with the highest betweenness and redraw the graph. Recompute the edge betweenness centrality for the new graph. Explain how the network structure changes after removing the edge. 4. Iteratively remove edges until at least two communities form. Provide step-by-step calculations for each removal. Explain how edge betweenness changes dynamically during the process. 5. How many communities do you detect in the final step? Compare the detected communities with the original graph structure. Discuss whether the Girvan- Newman algorithm successfully captures meaningful subgroups. 6. If you were to use degree centrality instead of edge betweenness for community detection, how would the results change?