# social networks

Published articles for social networks.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## RealityMining, a Case Study in the Woes of Data Processing

DevFeed: [RealityMining, a Case Study in the Woes of Data Processing](<https://devfeed.tech/articles/realitymining-a-case-study-in-the-woes-of-data-processing-40339.md>)

Original publisher: [Read original article](<https://www.jeremykun.com/2014/01/21/realitymining-a-case-study-in-the-woes-of-data-processing/>)

Published: 2014-01-21T22:11:49Z

Content type: tutorial

Language: en

Sources: [Jeremy Kun](<https://devfeed.tech/sources/jeremy-kun.md>)

Topics: [data-processing](<https://devfeed.tech/topics/data-processing.md>), [Python](<https://devfeed.tech/topics/python.md>), [dataset](<https://devfeed.tech/topics/dataset.md>), [SciPy](<https://devfeed.tech/topics/scipy.md>), [MATLAB](<https://devfeed.tech/topics/matlab.md>), [NumPy](<https://devfeed.tech/topics/numpy.md>)

Tags: [array](<https://devfeed.tech/tags/array.md>), [big-data](<https://devfeed.tech/tags/big-data.md>), [data-analysis](<https://devfeed.tech/tags/data-analysis.md>), [data-mining](<https://devfeed.tech/tags/data-mining.md>), [data-processing](<https://devfeed.tech/tags/data-processing.md>), [dataset](<https://devfeed.tech/tags/dataset.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [library](<https://devfeed.tech/tags/library.md>), [matlab](<https://devfeed.tech/tags/matlab.md>), [python](<https://devfeed.tech/tags/python.md>), [reality-mining](<https://devfeed.tech/tags/reality-mining.md>), [research](<https://devfeed.tech/tags/research.md>), [social-networks](<https://devfeed.tech/tags/social-networks.md>), [tutorial](<https://devfeed.tech/tags/tutorial.md>)

### AI overview

A tutorial and critique of accessing the RealityMining smartphone dataset with Python. It explains the dataset's communication, cell-tower, survey, and friendship data; the access process; the proprietary Matlab file format; and difficulties loading and inspecting the data with SciPy and NumPy.

### Source excerpt

This post is intended to be a tutorial on how to access the RealityMining dataset using Python (because who likes Matlab?), and a rant on how annoying the process was to figure out. RealityMining is a dataset of smart-phone data logs from a group of about one hundred MIT students over the course of a year. The data includes communication and cell tower data, the latter being recorded every time a signal changes from one tower to the next.

## The Erdős-Rényi Random Graph

DevFeed: [The Erdős-Rényi Random Graph](<https://devfeed.tech/articles/the-erdos-renyi-random-graph-40329.md>)

Original publisher: [Read original article](<https://www.jeremykun.com/2013/08/22/the-erdos-renyi-random-graph/>)

Published: 2013-08-22T16:11:18Z

Content type: tutorial

Language: en

Sources: [Jeremy Kun](<https://devfeed.tech/sources/jeremy-kun.md>)

Topics: [Graphs](<https://devfeed.tech/topics/graphs.md>), [graph theory](<https://devfeed.tech/topics/graph-theory.md>), [math](<https://devfeed.tech/topics/math.md>), [Networks](<https://devfeed.tech/topics/networks.md>)

Tags: [color](<https://devfeed.tech/tags/color.md>), [combinatorics](<https://devfeed.tech/tags/combinatorics.md>), [erdos](<https://devfeed.tech/tags/erdos.md>), [giant-component](<https://devfeed.tech/tags/giant-component.md>), [graph](<https://devfeed.tech/tags/graph.md>), [graph-coloring](<https://devfeed.tech/tags/graph-coloring.md>), [graph-theory](<https://devfeed.tech/tags/graph-theory.md>), [properties](<https://devfeed.tech/tags/properties.md>), [random-graph](<https://devfeed.tech/tags/random-graph.md>), [random-graphs](<https://devfeed.tech/tags/random-graphs.md>), [renyi](<https://devfeed.tech/tags/renyi.md>), [social-networks](<https://devfeed.tech/tags/social-networks.md>), [structure](<https://devfeed.tech/tags/structure.md>)

### AI overview

This tutorial introduces the Erdős-Rényi random graph model G(n,p), in which each possible edge between n vertices is included independently with probability p. It discusses the model's role in combinatorics and network analysis, along with basic properties, applications, and computational exploration.

### Source excerpt

During the 1950's the famous mathematician Paul Erdős and Alfred Rényi put forth the concept of a random graph and in the subsequent years of study transformed the world of combinatorics. The random graph is the perfect example of a good mathematical definition: it's simple, has surprisingly intricate structure, and yields many applications. In this post we'll explore basic facts about random graphs, slowly detail a proof on their applications to graph theory, and explore their more interesting properties computationally (a prelude to proofs about their structure).