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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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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41 views
how to choose logarithm bin width [on hold]
I read resources about logarithm binning methods for power law distribution data. I am confusing about the choice of the width of logarithm binning.
the first resource:
This is known as ...
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12 views
Visualising a networkx graph with vosviewer
I am trying to export a networkx graph into a format that vosviewer can read. When I wrote my graph to gml and pajek via nx.write_gml(G, path) and nx.write_pajek(G, path), vosviewer did not accept the ...
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12 views
Combining centrality into one based on same data type
I'm working on a project that involves count data (specifically number of interactions) from multiple different districts in a specific area. Our team has been talking about calculating a few ...
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21 views
Optimization Technique Needed
I am trying to figure out an optimization technique to below:
For context, everything to the left of "New Upcoming Games" is historical data. In my actual dataset I have about 200-300 rows that will ...
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41 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 ...
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15 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 ...
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1answer
119 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
93 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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0answers
29 views
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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15 views
Is there an alternative to NodeXL for identifying a Twitter user's follower network up to X levels?
Basically, I want to be able to automatically build following/follower networks for individual Twitter users up to a distance of X away from the individual in question. I know NodeXL can do this quite ...
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26 views
How does the $R^2$ between the degree distribution & the number of nodes for a network relate to the goodness of fit?
I understand that the coefficient of determination helps to explain the goodness of fit of the values on the X and Y axis. When we consider the degree distribution of a network with the degree on the ...
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1answer
48 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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11 views
Can netlogit estimate data containing multiple networks?
I'm working on a data that contains country-level membership information on multiple regional trade agreements with overlapping membership and formed in different years (hence, the time-varying ...
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0answers
32 views
Rate equations for the evolution of densities
I don't quite understand how the authors of this paper find the equations based on the table. Excerpt:
[T]he social network connecting agents is a complete graph with the size of the network $N \to ...
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0answers
18 views
Computing repeatability of social network metrics using MCMCglmm
I am trying to compute repeatability of three social network metrics (degree, closeness and between) that I have obtained from social interaction data in sparrows using the iGraph package in R.
The ...
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24 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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38 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
37 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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43 views
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 ...
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2answers
119 views
Why KL-divergence is not used as a measure to compare clusterings?
In the literature of community detection there are various measures bases on principles from information theory (Normalized mutual information, variation of information) that are used to compare ...
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1answer
29 views
Are there community detection algorithms where number of communities is specified in advance?
I want to detect specific number of communities in networks, which require algorithms, where number of communities are specified in advance. Also if there are any, I would like to know how to ...
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1answer
389 views
How to detect k number of communities in a weighted graph/network?
I'm trying to find a fixed number of communities in a fully connected graph with weighted edges.
How to do community detection in a weighted social network/graph? suggests the use of iGraph's ...
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1answer
119 views
Any intuition for why eigenvector centrality relates to walks of infinite length?
Some centrality measures can be interpreted in terms of walks.
Degree centrality relates to a walk of length one: The more walks of length one reach a node, the higher this centrality measure.
...
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1answer
402 views
MAE has gotten worse but RMSE is better, how should I interpret it?
I am doing some testing in recommender systems with extended epinions dataset, I implemented two models, model A give me RMSE of 0.5387 and MAE of 0.3111 and model B gave me RMSE of 0.5121 and MAE of ...
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1answer
317 views
How should I use stochastic gradient descent when I have two sets of data?
In social recommender system problems, we have two sets of data, one the rating data denoted as $R$ and the other social data denoted as $T$, most of the papers end at an objective function over these ...
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2answers
51 views
Visualizing graph-based data (i.e., network)
I'm fascinated by the concept of graph, be it the social network, the book-topic relationship and others. By graph I mean something like this:
I want to know, how to visualize the data, and is there ...
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1answer
134 views
Combining heuristics when ranking news feed items
We have a news feed, and we want to surface items to the user based on a number of criteria. Certain items will be surfaced because of factor A, another because of factor B, and yet another because of ...
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1answer
2k views
Calculating Transitivity (Clustering Coefficient) from Adjacency Matrix, and igraph package
Suppose $G$ is a simple, undirected graph. The corresponding adjacency matrix, $A$ is binary, symmetric, and has all zeroes on the diagonal.
By definition (Networks: An Introduction, M.E.J Newman), ...
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1answer
139 views
Hawkes-Process for non binary events
I am currently using a univariate Hawkes-process for modeling the behaviour of agents in a social network. For example, the likelihood that a user will tweet in the next period is defined by the ...
3
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1answer
25 views
Best way to analyze if pairs of relocated endangered animals stick together after release?
I'm working on a conservation project that will soon release ~10 endangered fish that were bred in captivity into a pond. We're hoping this pond serves as a temporal home for a few years, while their ...
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1answer
43 views
Drawing a graph and grouping based on characteristics
Let's say that I have a list of my friends and each of them are tagged with some of their characteristics. That is,
...
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1answer
75 views
Measuring connectivity between clusters in an organizational network in R
I'm trying to conceptualize a network analysis problem and figure out where to start in terms of analysis techniques in R. Apologies as I'm fairly new to all this.
Basically, I have a employee ...
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0answers
21 views
Finding correlation between size, weight and location in a network graph
I have an undirected graph of students, their friendship ratings, and amount of effort paid in class in the following format:
...
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0answers
204 views
How to decide if a relationship network(graph) is directed or undirected?
I have a dataset that consist of the following information: Person_1 (from node), Person_2 (to_node), Home_Room_Location (of person_1), Time_Spent_Together (treating this as weight).
I've been ...
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1answer
68 views
Finding Balance in Network of Friendships
I have a couple of data points on a large group of high school students:
A: Who their Friends are
B: Strength of Friendship for each friend (out of 5, 5 being best friends and 1 being acquaintances)
...
2
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0answers
22 views
Model suggestion for “suspicious interactions finding”
Given: 10 nodes (people), it's known that 3 of them are criminals
There are n (< 10) matrices 10x10 of interaction of different type between each two people(some of them are cooperations of ...
2
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1answer
226 views
MCMC applied to networks
I was looking a paper, article, book... about MCMC (Markov Chain Monte Carlo) methods applied to networks (networks of people, computers,...)
I haven't found something "useful", but maybe I am making ...
2
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1answer
44 views
Difference between directed community indicators variational parameters in Airoldi et al 2009
In the paper by Airoldi, Blei, Fienberg, Xing, 2008, sometimes I see a distinction between $\phi_{p\rightarrow q}$ and $\phi_{q\leftarrow p}$ and sometimes not (the non-distinction in the generative ...
2
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1answer
76 views
Transform $z$-score to absolute value for visualization
I'm playing with within-module z-score (page 68) which is defined as
$$z_i = \frac{k_i - \overline{k}}{SD(k)}$$ where $k_i$ is degree of node $i$ within network module (community). I would like to ...
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2answers
176 views
Using personality to predict conflict via ERGMs
I am using ERGMs to test how different personality variables lead to conflict connections among group members. Specifically, I am assessing if differences in extraversion (Big Five) among team-member ...
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0answers
82 views
Network/Graph Analysis Beginner Resources
I am a beginner to Network/Graph Analysis. I have data in the following format:
Customer | CustomerSpend
Anna $10
Bob $30
Charlie $50
...
.....
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0answers
80 views
Social Network Analysis: Measuring the link between vertex values
I'm relatively new to social network analysis and from what I understand many of the common statistical technique do not work in social network analysis due to the non IID nature of networks. My ...
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1answer
45 views
location based social network model
I'll preface this by saying I have no knowledge in this area so apologize in advance if my question is bonkers!
Basically, I was hoping someone could point me in the right direction where to start ...
2
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0answers
60 views
Testing if a directed, bipartite network is non-random
I am struggling with finding a suitable approach to determine if a directed, bipartite network is non-random, i.e., if the relations between the nodes and edges of my empirical network are due to ...
2
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0answers
105 views
How to compare the assortativity of two distinct networks?
In the context of Social Network Analysis, I have two different social networks (in fact both are subgraphs of the same graph, but all the edges are distinct) and I would like to find a rigourous tool ...
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0answers
30 views
Map weighted adjacency matrix onto real space [duplicate]
Is there any way to map nodes of a weighted adjacency matrix onto some real space in a meaningful way. So that the euclidean distance on the real space is related to the adjacency weight of the matrix?...
2
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1answer
92 views
What is meant by random graph?
I have read the definitions and basics of random graphs, but I don't really understand what is a random graph, and what's a "non-random" graph.
A non mathematical explanation would be of great help.
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1answer
132 views
Can you use the Poisson GLM if there is an upper limit?
I'm analyzing social network data where roughly 10 groups of 100 people are split into different sized teams. (For example, there are 10 schools, but some of the schools have 5 "classrooms" while ...
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2answers
124 views
Similarity measure for clusterings in graphs evolving over time (temporal network)
From what I understand about clusters, they can be obtained from an existing graph at 1 instance of time. But consider the situation of a temporal network, such as a social network, where the graph ...
