steam228

library(bibliometrix)
library(openxlsx)


setwd('/Volumes/PATHTO/')
getwd()
WOS_df <- convert2df(file = './WOS/wos.bib', dbsource = "wos", format = "bibtex")
SCOPUS_df <- convert2df(file = './SCOPUS/scopus.bib', dbsource = "scopus", format = "bibtex")

Merge_SCO_WOS <- mergeDbSources(SCOPUS_df, WOS_df, remove.duplicated=TRUE)

phanan

// Run this from the commandline:
// phantomjs runner.js | ffmpeg -y -c:v png -f image2pipe -r 24 -t 10  -i - -c:v libx264 -pix_fmt yuv420p -movflags +faststart output.mp4

var page = require('webpage').create(),
    address = 'http://s.codepen.io/phanan/fullembedgrid/YPLewm?type=embed&safe=true&_t=1424767252279',
    duration = 3, // duration of the video, in seconds
    framerate = 24, // number of frames per second. 24 is a good value.
    counter = 0,
    width = 500,
    height = 500;

macagua

# -*- coding: utf-8 -*-

#fetch Gravatars
# https://code.google.com/p/gource/wiki/GravatarExample

import os
import requests
import subprocess
import hashlib

brianckeegan

# Serrano, Boguna, Vespigani backbone extractor
# from http://www.pnas.org/content/106/16/6483.abstract
# Thanks to Michael Conover and Qian Zhang at Indiana with help on earlier versions
# Thanks to Clay Davis for pointing out an error

import networkx as nx
import numpy as np

def extract_backbone(g, weight='weight', alpha=.05):
    backbone_graph = nx.Graph()

tito

'''
Bluetooth/Pyjnius example
=========================

This was used to send some bytes to an arduino via bluetooth.
The app must have BLUETOOTH and BLUETOOTH_ADMIN permissions (well, i didn't
tested without BLUETOOTH_ADMIN, maybe it works.)

Connect your device to your phone, via the bluetooth menu. After the
pairing is done, you'll be able to use it in the app.

aanastasiou

Exporting a Networkx graph as a Cypher query

This little project defines a function that can be used to construct a Cypher query which when executed against a Neo4j database server will store the graph to the server.

Background

• A Graph is an abstract mathematical model composed of Nodes connected through Edges that can be used to describe complex systems composed of a set of parts (corresponding to nodes) and their connections (corresponding to edges).
• Examples of graphs are road networks (junctions connected via roads), electronic circuit networks (components and their connections) and others
• Networkx is an excellent Python module for manipulating such Graph objects of any kind.
• Neo4j is a graph database. It uses the Graph as a data model to store such objects to a data store.

jbilcke

execfile("/your/path/to/videomaker.py")
videomaker(
    ts_min=1352261778000, # "from" timestamp..
    ts_max=1352262378000, # .."to" timestamp
    frames=20, # number of images in the video. eg 200 frames for a video at 20 frames per seconds = 10 seconds of video
    output_prefix="/path/to/output/dir/frame_", # path where to write the png. images will be prefixed with "frame_" 
    output_format=".png" # you probably want to leave png here
)

MoritzStefaner

import java.io.File;
import java.io.FileNotFoundException;
import java.net.URISyntaxException;

import org.gephi.data.attributes.api.AttributeController;
import org.gephi.data.attributes.api.AttributeModel;
import org.gephi.filters.api.FilterController;
import org.gephi.graph.api.DirectedGraph;
import org.gephi.graph.api.Edge;

underhilllabs

#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# code originally from Michael Klier 
#   -- licensed unded CC-NC-SA
#   http://www.splitbrain.org/blog/2010-12/12-from_scuttle_to_delicious
#
# 1. change username and password in urls below
# 2. change SCUTTLEDOMAIN to the domain of your scuttle site
 

benjaminjackson

# Usage: ruby kickstarter_csv.rb output.csv

require 'rubygems'
require 'kickstarter'

LAST_REPORT_DATE = Date.parse("April 28, 2011")
FIELDS = [:name, :pledge_amount, :pledge_percent, :pledge_deadline, :owner]


def fetch_projects_for_category category, file