Figure 10.9 is an example of a social-network graph. Usethe Girvan-Newman approach to find the number of shortest paths from eachof the following nodes that pass through each of the edges. (a) A (b) B.

Have the function ShortestPath(strArr) take strArr which will be an array of strings which models a non-looping Graph. The structure of the array will be as follows: The first element in the array will be the number of nodes N (points) in the array as a string. The next N elements will be the nodes which can be anything (A, B, C .. Brick Street, Main Street .. etc.). Then after the Nth element, the rest of the elements in the array will be the connections between all of the nodes. They will look like this: (A-B, B-C .. Brick Street-Main Street .. etc.). Although, there may exist no connections at all.An example of strArr may be: ["4","A","B","C","D","A-B","B-D","B-C","C-D"]. Your program should return the shortest path from the first Node to the last Node in the array separated by dashes. So in the example above the output should be A-B-D. Here is another example with strArr being ["7","A","B","C","D","E","F","G","A-B","A-E","B-C","C-D","D-F","E-D","F-G"]. The output for this array should be A-E-D-F-G. There will only ever be one shortest path for the array. If no path between the first and last node exists, return -1. The array will at minimum have two nodes. Also, the connection A-B for example, means that A can get to B and B can get to A.

You have an undirected, connected graph of n nodes labeled from 0 to n - 1. You are given an array graph where graph[i] is a list of all the nodes connected with node i by an edge.Return the length of the shortest path that visits every node. You may start and stop at any node, you may revisit nodes multiple times, and you may reuse edges. Example 1:Input: graph = [[1,2,3],[0],[0],[0]]Output: 4Explanation: One possible path is [1,0,2,0,3]Example 2:Input: graph = [[1],[0,2,4],[1,3,4],[2],[1,2]]Output: 4Explanation: One possible path is [0,1,4,2,3] Constraints:n == graph.length1 <= n <= 120 <= graph[i].length < ngraph[i] does not contain i.If graph[a] contains b, then graph[b] contains a.The input graph is always connected.

A network is an arrangement of paths connected at various points through which items move.Group of answer choicesTrueFalse

Use the following network with distances between nodes (in miles) to find the shortest path from node 1 to each of the remaining nodes (2, 3, 4, 5, 6, and 7). Then answer the following questions.   Flag question: Question 3Question 3Tips2 ptsWhat type of network model is used to solve this problem?Group of answer choicesshortest routeminimal spanning treemaximal flowsupport vector machine

Which algorithm is used to find the shortest path in a graph?Question 16Select one:Bellman-Ford algorithmTopological SortFloyd-Warshall algorithmDijkstra's Algorithm