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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Finding association of attributes with node centrality/ degree value
I've run SNA and got the value of centrality of each node. I classified the centrality value into two group. Then based on this grouping, I would like to find the association of the attribute(gender, ...
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Estimating spillover/diffusion in network
I would be more than grateful if you could help me find, a more precise than a general textbook - a reference/resource/key phrase to a specific problem in network analysis. I am complete new to the ...
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Estimating the likelihood of group participation based on participation in other groups
How can I estimate the increase or decrease in the probability that if someone posts to an online forum (UseNet, Reddit, FB Groups, etc.) they will subsequently post to another? The two events are not ...
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How to visualize connections between survey participants
I have the dataset from survey with participants IDs and IDs of another participant (or participants) that first participant knows, just like this:
Participant ID
Knows participant
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353
111
777
...
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Binary classification of nodes in a social network with weak supervision
Dislaimer: I'm a newbie in machine learning so I apologize in advance if I made any mistakes :p
Scenario
Let's say we have a social network with users and posts made by the users. A user can interact ...
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Finding gateway discussion groups from online posts
I'm looking at online discussion group participation and I'm trying to determine whether posting to group A increases the likelihood of subsequently posting to group B empirically (is A a gateway ...
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How to model latent impact in a social networks?
I have a directed social network dataset that includes node attributes (e.g. demographics) and test scores for each individual. I am working on the following model:
Suppose each person, p, has a ...
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Logistic Regression with discrete dependent and independent variables?
I created a network model of the world which was then clustered. I now have 7 clusters each containing a number of states. I want to analyze how belonging to a cluster changes war and peace relations ...
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Simulate ERGM with nodal attributes
I'm not entirely sure where to post it, here, or on Stack Overflow.
I'm trying to simulate an ERGM that has nodal attributes. I'm using the statnet ...
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Networkx Modularity and Simrank Similarity of Graph
I want to compute the modularity and Simrank similarity of a Networkx Graph.
The Graph consists of 92000 edges and 25000 nodes.
However, when I execute the following code, Colab crashes and restarts:
<...
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Is this Markov chain of a UAU-process (unaware - aware - unaware) convergent and why?
I am currently looking at a Markov chain of $UAU$-process on a uni-weighted undirected network. Where individuals are aware of certain arbitrary information or not. The individuals are the nodes of ...
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Unsupervised directed network analysis
I need python or R codes for unsupervised feature selection for directed network.
I will be so grateful if one can be a help.
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Impact of sample size when using exponential random graph modeling
I am working on revising a manuscript centered on identifying the drivers behind certain types of student interaction. One critique that I'm having trouble addressing is that they are worried about my ...
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Why is the closeness centrality value higher for less connected nodes?
I built an igraph graph from a data frame containing the (symbolic) edge list and weight. This is the data frame:
...
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How to handle missing data when calculating network homophily/assortativity?
I am trying to calculate network homophily/assortativity for a graph. However, some of my nodes have missing values. It turns out igraph's assortativity functions have no "na.rm" function ...
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preferential attachment exponent (pa.exp in R) and network centrality
Is there a paper showing how the preferential attachment exponent (pa.exp in R)of a network affects its centrality?
From simulations, I saw that low pa.exp results in low centrality. That is expected. ...
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Comparing properties of networks of different sizes
I want to compare some network properties such as density, average path and modularity among groups of sizes ranging from 100 to 4000.
How can I correctly compare these networks? Considering the ...
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igraph's "assortativity" function returns NaN if all attributes are identical. Why?
I am trying to use igraph's assortativity function. It returns positive values if more similar nodes have similar attributes and negative values otherwise.
Indeed, if I randomly generate attributes ...
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Ways to calculate proximity score in a social network
I'm looking for the most correct way to calculate a proximity score between users of a social network (Twitter). There are 100 users who replied, mentioned, and liked each other. I want to aggregate ...
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Should I apply Kruskal Wallis test?
I am doing research about the purchasing behaviour of the population.
Therefore, on my online survey, I have questions about the effect of the advertisement on social media on behaviour. So, the ...
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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"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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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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