Download Python for Graph and Network Analysis by Mohammed Zuhair Al-Taie, Seifedine Kadry PDF

By Mohammed Zuhair Al-Taie, Seifedine Kadry

This learn monograph offers the skill to profit the idea and perform of graph and community research utilizing the Python programming language. The social community research concepts, integrated, may also help readers to successfully learn social facts from Twitter, fb, LiveJournal, GitHub etc at 3 degrees of intensity: ego, workforce, and group. they are going to be in a position to examine militant and innovative networks and candidate networks in the course of elections. for example, they'll find out how the Ebola virus unfold via groups.

Practically, the booklet is acceptable for classes on social community research in all disciplines that use social method. within the examine of social networks, social community research makes an enticing interdisciplinary learn zone, the place machine scientists and sociologists convey their competence to a degree that may let them to satisfy the demanding situations of this fast-developing box. desktop scientists have the information to parse and method information whereas sociologists have the adventure that's required for effective information modifying and interpretation. Social community research has effectively been utilized in numerous fields reminiscent of wellbeing and fitness, cyber defense, enterprise, animal social networks, info retrieval, and communications.

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Extra info for Python for Graph and Network Analysis

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Graph theory allows researchers to prove theorems and deduce testable statements. Z. Al-Taie, S. 1007/978-3-319-53004-8_3 49 50 3 Graph Theory Fig. 1 Origin of graph theory network as a model of a social system that consists of actors and the ties among them. A graph is a mathematical object that describes relationships between items. It is a structure for modeling information. It consists of nodes that represent objects and edges that relate one node to another. Graph theory offers the tools needed to describe and visualize social compositions that consist of three or more actors.

The type of analyses applied to graphs (such as cardinality, network traversals, and community detection) has many mathematical underpinnings. Therefore, and for this purpose, we will use one of the greatest Python libraries for network analysis which is NetworkX. 5 NetworkX NetworkX is a Python language software package and an open-source tool for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. It is a computational network modeling tool and not a software tool development.

The closest pair of clusters is then merged by moving up the hierarchy into a single cluster, while the correlation between data items of different clusters decreases as we move from the bottom (leaves) to the top (root). This step is repeated until all items are clustered into one single cluster. This algorithm is commonly used by the social community for community detection. Using this approach, we can define a measure of similarity xij between a pair of nodes (i, j) based on the given network structure.

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