Questions tagged [social-network]
Social network data consists of a collection of "nodes" (which can be any sort of entity - e.g. people, corporations) and "links" (which can be any sort of relationship - e.g. friend, sharing a board member).
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Calculating Diversity of a continuous variable
Hi I'm trying to calculate diversity for a continuous variable. In the research, we have a network of people (they all know each other other but may not be friends) who all have different social media ...
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Difference between Mantel test and Quadratic Assignment Procedure
Could someone clearly define the difference between the Mantel test and the Quadratic Assignment Procedure (QAP)? I am needing to examine whether an asymmetrical matrix is dependent upon a symmetrical ...
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Scale-free network or not?
I am working on a directed graph, where in and out degree distributions are extrimely different: while the in-degree is for sure following a power-law, the out degree is not. Also, the in degree is a ...
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Appropriate method for dynamic clustering of network data in R?
I've got a large set of Twitter data, and I'm trying to show the merging/formation of user communities over time based on hashtag usage. For instance, two users that use the same hashtag in the same ...
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Distribution of this degree distribution plot [duplicate]
I have plotted this distribution, representing the degree distribution of the amazon co-purchase network (2003) graph. Sadly, I do not know how to interpret this. Do you know which distribution this ...
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9 views
How do I know which version of a factor analysis is the correct one?
I am doing network analysis with the bootnet package in R.
I'm running into an issue where the way that I compute my network results in a very different structure, and I'm having trouble figuring out ...
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22 views
How do I know if violations of assumption of sparsity is problematic?
I am running a network analysis in R using the estimateNetwork(default = "EBICglasso") function from the bootnet package. I have set ...
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14 views
Can someone give me an example of frequent large subgraphs being outlier?
I read it from a lecture note:
...
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342 views
How can this CDF be decreasing? (power-law)
I am reading the first vignette of the powerRlaw R package.
It uses the moby dataset, which is an array of word frequency. Each element is a word, and the value if ...
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Does it at all make sense to ask whether a factor analysis vs a network analysis better explains a dataset?
I've read that these are philosophically different approaches in that a network analysis doesn't assume the existence of latent variables. Is it possible to submit the same dataset to both, and then ...
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Dichotomous independent variable on power-law distribution
Background
For my master thesis in Public Administration, I'm working on a model to estimate the effect of knowledge claims on retweet count. I'm looking at a data set of 500,000 tweets of EU ...
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Social network data and Clustering analysis
I'm working with Twitter data, and I would like to separate Twitter users into different groups (or cliques) based on their "friendship" relations.
In particular, I want to do something like ...
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What a log-log plot means in the context of a real world network?
I've collected a directed network from Twitter that consists of about 25,000 nodes and 850,000 edges. After plotting the degree distribution on a log-log plot, I have the following image which I am ...
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73 views
Network analysis: density of communities/partitions (and other metrics)
After running a community detection algorhythm (e.g. edge betweenness, or greedy modularity), I like know the density of each seperate community, and potentially some other metrics, too.
My desired ...
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14 views
How can I analyze flow with a weighed network analysis if I only have balances, not transactions?
I have a network of 100 bank accounts at 10 banks and I want to analyze the flow of money between these accounts with a weighed social network analysis. However, I can only see the balances of these ...
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what would a network looks like if the modularity is almost -1?
I know that larger positive modularity is good, and often lies between -0.5 and 1. But what would the network looks like if the modularity is appoaching -1? For example, equals to -0.7?
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1answer
14 views
Constructing a Weighted Random Graph
I want to create a weighted random graph (in contrast to the unweighted Erdős–Rényi model). I have a list of weights (derived from a real-world network, very skewed distribution that most weights are ...
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1answer
9 views
Model Comparison for Weighted Network
I have a weighted network data and I want to know whether this network possesses small-world features or the features of a scale-free network.
I know for unweighted networks, I can create comparable ...
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How can I perform a meta-analysis on Kendall's tau?
Goal
Networks can have so many nodes that it's hard to study them.
That is why in some cases nodes are clustered together.
I am looking at whether the betweenness of a node similar to the one of its ...
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Testing the difference between network-level social network metrics
I have a social network, a, that I have subset into two based on the value of a node attribute (in this case, the sex of an organism).
Is there an appropriate test for me to use to compare the ...
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1answer
19 views
social network measure of node's crowdedness
The undirected network below shows the interaction of workers (blue nodes) with products worked on during a time period. The thickness of the edges/arcs indicates how much time the worker spends on a ...
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85 views
What is the difference between brokerage and betweenness?
This link describes betweenness: "Betweenness centrality measures the extent to which a vertex lies on paths between other vertices."
This link describes brokerage: "Brokerage is a ...
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59 views
Is it sensible to fit MRQAP to bipartite networks (NxM matrices)?
I have two matrices with 100 observations and 10 variables each (A and B). Now, I would like to fit a multiple regression ...
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1answer
303 views
What is the difference between local efficiency and betweenness centrality in network analysis?
There are many network properties that you can extract for a given node. Two I have encountered that sound conceptually very similar to me and that I have difficulty distinguishing are betweenness ...
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Analysing Snapchat Data [closed]
I am wondering if there is a way to analyze Snapchat data, using R for example?
I want to answer some simple questions in my mind.
For example, how many Snapchat is taking at a specific moment? What ...
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Terms in Exponential Random Graph Modelling (ERGM) in R
I have been reading on the web about the Exponential Random Graph modelling for network analysis and I am confused about one aspect. Do I need to add in the model the corresponding nodefactor() for ...
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1answer
95 views
Degree and weight preserving randomisation in networks
I have a network in which nodes are highly interconnected (250 nodes where 90% of the nodes have degree = 249). The connections are weighted with a normalised index that goes from 0 to 1, where 1 ...
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What is constraint and effectivesize in structural holes?
Today, I spent the whole day trying to understand what structural holes in network means. More specifically I want to clarify what the two measurements constraint and effective size means? Is it good ...
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Compare networks, including centrality measures, clustering/community detection results
Hi my fellow researchers, I am trying to compare two networks based on exactly same group of individuals (179 unique individuals):
One network is based on these individuals' meeting data (two-mode/...
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1answer
74 views
How to find similar users in a social network
I have a set of users from a social network. These users are represented by large sparse vectors. Let's say that a small subset of those users bought a ticket for a particular movie. How could I find ...
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1answer
93 views
Is there a method for counting 2nd degree ties in a network?
I have an excel file with an edgelist of 1st degree ties, and would like to get back an excel file with information about 2nd degree ties (count per person) in a social network. I would like to use R ...
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22 views
Event prediction with quantitative Social Media Data (Time Series)
I want to use Twitter data to predict a boolean event.
Let's say the Event is labeled as 1 (no event = 0).
I have several twitter datasets containing at least one timeframe with the event 1. A ...
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1answer
232 views
Network analysis - Correlation is positive and significant, but coefficient of simple logistic regression is not significant?
I have an adjacency matrix and another which represents whether the two nodes share an attribute. Consider it like an homophily test. We want to test if the likelihood to form a connect depends on the ...
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1answer
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In the study of causal inference on networks, what implications does assuming unconfoundedness have on homophily?
I read in a book on causal inference on networks that:
The unconfoundedness assumption does not rule out the presence of
homophily, that is tendency of individuals who share similar
...
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1answer
317 views
Graph Theory - Network Homophily with continuous node attribute
I have a setup where I have a directed graph $G = (V,E)$ and a node attributes vector $\overrightarrow{x}$ with $|\overrightarrow{x}| = |V|$ and $\forall x_i \in \overrightarrow{x}$, it holds $x_i \in ...
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1answer
84 views
How can one apply differential privacy to this network dataset? [closed]
I've been reading up recently on differential privacy and I'm just starting to understand it. I've also read this paper that basically determined the sexual orientation of a user using Facebook ...
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measure for two different network
I want to distinguish two networks. One of two has some conspicuous hub node like that. The other is randomly conneted. In this case, is there appropriate measure to distinguish between two networks?
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1answer
77 views
“Multi-level” social network analysis?
I am very new to social network analysis and working on a project here that I am not sure what's possible to model.
I don't want to quite call this multi-level because I am not exactly looking at ...
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311 views
Text document clustering using community detection algorithms
I have a corpus of documents. I want to do clustering of similar documents by using community discovery algorithm. Initially I preprocessed the corpus by using nltk. Then each document is converted ...
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Maximum likelihood estimator of the parameter of randomness in Watts and Strogatz's model (1998)
According to the paper
Menezes, M. B., Kim, S., & Huang, R. (2017). Constructing a Watts-Strogatz network from a small-world network with symmetric degree distribution. PloS one, 12(6), e0179120,...
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Social Network analysis to group people into houses?
I have a relationship database of circa 11,000,000 observations. These 11,000,000 observations relate to circa 4,000,000 individuals. Initially the idea was to group these individuals into households ...
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Compare treatment effects across Levels of aggregation
Suppose I am running an experiment to see if a treatment changes the mean weight of a group of people. Note that I am specifically interested in the mean weight: if half the people get heavier, and ...
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1answer
1k views
Assortativity coefficient in igraph
In the context of Social Network Analysis, I want to compute the homogeneity of different networks for specific attributes. For this case the igraph package contains the method assortativity() to ...
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1answer
943 views
Computation of Network Homophily / Heterogeneity
I am quite confused about the calculation of network homophily in network analysis. Right now I am computing the homophily using the following function, which has been written and also described by ...
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How to measure “cyclicity” of a directed weighted graph?
Say you have a weighted directed graph with (potentially) some cycles in it. You want to have some sort of a measure of how "cyclical" this graph is. The requirements are:
This measure C=0 on an ...
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1answer
239 views
How to generate networks of a certain density?
How can you generate small world or scale-free networks with a certain density, say .3?
In the case of random networks it seems easy because an edge is drawn based ...
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45 views
Determining the number of observations within the tail of a given distribution
I am wondering how to determine the number of observations that fall within the tail of a distribution. I am reading a paper and the authors use the assumption that 50 observations need to fall into ...
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60 views
What is the “distance” of a random walk on a graph?
What is the definition of the distance of a random walk? In the Statistical significance of a cluster of this paper, and this ...
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1answer
40 views
Measuring Facebook/Twitter/Instagram activity times [closed]
I recently got into a debate on how to best measure when my Facebook/Twitter/Instagram friends are most active. Imagine that I have the input data set that consists of (timestamp, user_id), where ...
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Graph Theory / Network Analysis - properties variation
I have a rather complex network (air travel in the US) with more than 500 nodes, and small-world, scale-free proprieties, spanning over 10 years, and with quarterly information.
As I'm trying to ...
