diff --git a/raw_collect/twitter.py b/src/raw_collect/twitter.py
similarity index 96%
rename from raw_collect/twitter.py
rename to src/raw_collect/twitter.py
index 02b899f..1da532e 100644
--- a/raw_collect/twitter.py
+++ b/src/raw_collect/twitter.py
@@ -9,7 +9,7 @@ import tweepy
 from tweepy import API
 from tweepy.models import Status
 
-from collect.utils import Config, debug, Posting, json_stringify
+from collect.utils import Config, debug, Posting, json_stringify, load_config
 
 
 @dataclass
@@ -117,6 +117,9 @@ def download_user_tweets(api: API, screen_name: str) -> None:
         f.write(json_stringify(postings))
 
 
+def download_followings_chain(start_point: str, n: int):
+    """
+    This function downloads n twitter users by using a followings-chain.
 
 
 
diff --git a/raw_collect/twitter_individual.py b/src/raw_collect/twitter_individual.py
similarity index 100%
rename from raw_collect/twitter_individual.py
rename to src/raw_collect/twitter_individual.py
diff --git a/src/raw_collect/twitter_random_individuals.py b/src/raw_collect/twitter_random_individuals.py
new file mode 100644
index 0000000..ef13339
--- /dev/null
+++ b/src/raw_collect/twitter_random_individuals.py
@@ -0,0 +1,32 @@
+
+
+def get_followings_chain(start_point: str, n: int) -> tuple[list[str], list[str]]:
+    """
+    This function obtains twitter users through a followings chain.
+
+    1. This function tries to obtain a semi-random list of accounts from twitter.
+
+    Since there isn't a database with all twitter users, we can't obtain a strictly random list of
+    twitter users. Therefore, we use the method of follows chaining: we start from a specific
+    individual, obtain their followers, and pick 6 random individuals from the followings list.
+    Then, we repeat the process for the selected followings: we pick 6 random followings of the 6
+    random followings that we picked.
+
+    In reality, this method will be biased toward individuals that are worthy of following since
+    we are picking random followings.
+
+    2. This function tries to obtain a list of most popular accounts from twitter.
+
+    Again, since there isn't a database with all twitter users and their popularity, we can't
+    obtain a definite list of most popular accounts. So, we obtain our best approximation of a
+    list of most popular accounts by obtaining
+
+    :param start_point: The starting user of the search
+    :param n: How many random individuals in total?
+    :return: 1. A list of semi-random individuals, and 2. a list of most popular individuals.
+    """
+
+
+
+if __name__ == '__main__':
+    pass
diff --git a/raw_collect/utils.py b/src/raw_collect/utils.py
similarity index 100%
rename from raw_collect/utils.py
rename to src/raw_collect/utils.py