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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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Regression model on edge list

I would like to fit a regression in which my data is links (edges) from the network and the output is weight of each link. Income level is a node attribute and for each link two nodes are involved, so ...
Jina's user avatar
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0 answers
12 views

PageRank denotes how many inputs a node has from influential nodes (directed form of eigenvector). Is there a metric for outputs to influential nodes?

PageRank is the directed form of eigenvector centrality, denoting how influential a node is in terms of indegree edges. Is there an outdegree version? PageRank assumes that “ important nodes are those ...
JElder's user avatar
  • 919
3 votes
0 answers
32 views

How do zero values affect the correlation between two twitter activity time series?

I have a time series of Twitter activities (lets call it time series 0) from which I extract two separate time series based on different sets of users (i.e. time series 1 contains the activity of a ...
Mim_Tauch's user avatar
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0 answers
54 views

Can I do Pearson cross-correlation between two time series of Twitter data without violating the assumptions?

I have a dataset of Tweets regarding a given topic (extracted by predefined keywords and hashtags). I aggregated the Tweets in bins of time (e.g. every ten minutes) to generate a time series of the ...
Mim_Tauch's user avatar
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0 answers
12 views

Can we use Poisson regression model to predict the effect of misinformation on user engagement on social media posts

Our research question is what is the effect of misinformation on user engagement on social media posts. The unit of analysis is a social media post. Misinformation is an indicator variable and the ...
Cassova's user avatar
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3 votes
2 answers
161 views

Probability that two vertices are connected

I'm reading: Clauset, A., Newman, M.E.J., Moore, C., 2004. Finding community structure in very large networks. Phys. Rev. E 70, 066111. https://doi.org/10.1103/PhysRevE.70.066111 There is written that ...
robertspierre's user avatar
1 vote
1 answer
40 views

igaph gives me a diameter, but I think the diameter is another one [closed]

Given this network: ...
robertspierre's user avatar
1 vote
0 answers
33 views

Measuring uncertainty in edge weights using Bayesian modeling and brms in R

I'm interested in using Bayesian models to measure uncertainty in edge weights within social networks. Specifically, I have been trying to replicate how this package works but using brms: https://...
Peej's user avatar
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1 vote
0 answers
14 views

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, ...
juliana 's user avatar
1 vote
1 answer
31 views

How to visualize connections between survey participants [closed]

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 111 353 111 777 ...
Vlad Fedo's user avatar
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0 answers
17 views

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 ...
Gabe's user avatar
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2 votes
1 answer
125 views

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 ...
Dave Esparza's user avatar
1 vote
1 answer
75 views

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: ...
Mark's user avatar
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1 vote
0 answers
194 views

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 ...
JElder's user avatar
  • 919
1 vote
0 answers
35 views

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 ...
Denis Duarte's user avatar
2 votes
1 answer
327 views

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 ...
JElder's user avatar
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1 vote
0 answers
110 views

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 ...
Alex Tyulyupo's user avatar
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0 answers
30 views

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 ...
Dinara Alibekova's user avatar
1 vote
0 answers
81 views

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 ...
Placido Pellegriti's user avatar
0 votes
0 answers
28 views

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 ...
Placido Pellegriti's user avatar
0 votes
0 answers
205 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 ...
Dave's user avatar
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4 votes
1 answer
830 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 ...
robertspierre's user avatar
1 vote
1 answer
176 views

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 ...
Dave's user avatar
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1 vote
2 answers
909 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 ...
Rens's user avatar
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1 vote
0 answers
57 views

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?
Alice M's user avatar
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1 vote
1 answer
195 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 ...
RandomThinker's user avatar
1 vote
1 answer
85 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 ...
RandomThinker's user avatar
1 vote
0 answers
73 views

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 ...
Ema's user avatar
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3 votes
1 answer
34 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 ...
cs0815's user avatar
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1 vote
1 answer
825 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 ...
JElder's user avatar
  • 919
1 vote
1 answer
2k 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 ...
JElder's user avatar
  • 919
1 vote
0 answers
109 views

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 ...
Vlad's user avatar
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2 votes
1 answer
277 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 ...
Bernardo's user avatar
1 vote
0 answers
52 views

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 ...
EmJ's user avatar
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2 votes
0 answers
197 views

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/...
Athena's user avatar
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1 vote
1 answer
111 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 ...
DexzMen's user avatar
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0 votes
1 answer
229 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 ...
firmo23's user avatar
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0 votes
0 answers
27 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 ...
Marl's user avatar
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1 vote
1 answer
491 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 ...
robertspierre's user avatar
1 vote
1 answer
74 views

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 ...
user321627's user avatar
  • 4,624
1 vote
1 answer
649 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 ...
BalrogOfMoria's user avatar
0 votes
1 answer
104 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 ...
L. Lei's user avatar
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0 votes
0 answers
12 views

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?
Gwan's user avatar
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1 vote
1 answer
157 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 ...
georgem's user avatar
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2 votes
0 answers
502 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 ...
anniebeniwal's user avatar
1 vote
0 answers
90 views

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,...
Student1981's user avatar
1 vote
0 answers
54 views

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 ...
Sean_C's user avatar
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0 votes
0 answers
23 views

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 ...
samplesize1's user avatar
5 votes
1 answer
2k 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 ...
Daniel's user avatar
  • 223
5 votes
1 answer
2k 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 ...
Daniel's user avatar
  • 223